Dear AgBioData members,
We'd like to invite you to participate *in a brief survey* to measure the
impact of AgBioData activities on FAIR data management awareness.
This is a follow-up survey from a similar one we ran in 2022 and will help
us quantify the impact of our efforts during the three-year National
Science Foundation (NSF) RCN project on increasing the awareness and
implementation of FAIR practices in the AgBioData community.
Your participation in this survey is crucial for our mission to enhance
FAIR data in agricultural research and will provide insights that can help
us define the consortium's directions and secure future funding.
Click here <https://tinyurl.com/AgBioData24> to participate in this survey.
Please submit your answers *by May 31*.
We would like to emphasize that your participation in this survey is
entirely voluntary and anonymous.
For general questions or assistance accessing and completing the survey,
please feel free to write to me or contact Dr Michael Coe at
michael(a)cedarlakeresearch.com.
Thanks for your contribution to AgBioData and for being part of our
community!
Best,
Annarita
Hi everybody,
The DEI Recruiting WG invites everyone to join our meeting *this Monday,
May 6, at 11 AM*.
Dr Charla Lambert, president of the Advancing Chicanos/Hispanics and Native
Americans in Science (SACNAS) organization, will talk about SACNAS, its
50-year history diversifying science in the U.S., and how it might benefit
your group's outreach, networking, and recruitment activities.
Zoom link to participate:
https://us06web.zoom.us/j/89060768261?pwd=TC9EOWR3UVdQS3UxNGZWQTEvWDFaZz09.
I hope you will join numerous.
Best,
Annarita
Dear AgBioData members,
We have one new announcement and one reminder to share:
1. New: The next Agricultural Genome to Phenome Initiative (AG2PI) training workshop, "Combined GWAS and TWAS using SVEN" will be May 17 from 10 AM to 1 PM (CDT; UTC-5). The workshop series will cover: Fundamental of Bayesian hierarchical models in association studies; Demonstration of SVEN from R package bravo using data from a maize panel; and, Hands-on experience in using SVEN under the R statistical software. By the end of the workshop series, you'll be able to: Understand the marginal inclusion probability as an alternative to the p-value; Use SVEN to analyze your dataset; Summarize and visualize the output from SVEN. Register at https://www.ag2pi.org/workshops-and-activities/workshop-2024-05-17/. See flyer attached.
1. Reminder: The next AG2PI virtual Field Day will be "Digital Tools for Agriculture Research - AG2PI "Coconut" Grant Outcomes" and will be on Wednesday, April 24 from 10:30 AM to 12:00 PM (CDT, UTC-5). In this field day, we will first hear from Dr. Trevor Rife regarding how his app "Field Book" can be used as a tool for plant phenotyping. Then, Dr. Jinha Jung, Dr. Minyoung Jung and Benjamin Hancock will introduce their open source online platform for UAS HTP data management and sharing. Both of these presentations are outcomes from AG2PI "coconut" (large seed) grants. Register for this Zoom event at https://www.ag2pi.org/workshops-and-activities/field-day-2024-04-24/, where you will also find additional information.
We look forward to seeing you at a future event!
------------------------
Nicole Scott, PhD
Program Specialist
Agricultural Genome to Phenome Initiative
Iowa State University
1111 WOI Rd
Ames, IA 50011
office: 1077 Roy J. Carver Co-Lab
phone: 515-294-3945
ag2pi.org<https://www.ag2pi.org/>
*** If you no longer wish to receive messages from AG2PI, then please visit https://www.ag2pi.org/join-ag2pi/unsubscribe/ to unsubscribe *** Please note, you cannot unsubscribe if you are receiving this message through a third party ***
Dear everyone,
Hurry up and register for the 2024 AGBioData community workshop!
Registration is closing soon (April 15)! *The registration form is
available here <https://forms.gle/FX9YgroWMQNnfYFXA>!*
This year's community workshop will be wholly *VIRTUAL* and feature WG
presentations and breakout room sessions from 9-11 AM CDT daily. A draft of
the workshop's agenda is available on our website (
https://www.agbiodata.org/2024-agbcomworks).
I hope you will be able to join us!
Please let me know if you have any questions.
Annarita
Dear AgBioData community members,
The next Agricultural Genome to Phenome Initiative (AG2PI) Field Day will be "Digital Tools for Agriculture Research - AG2PI "Coconut" Grant Outcomes" and will be on Wednesday, April 24 from 10:30 AM to 12:00 PM (CDT, UTC-5). In this field day, we will first hear from Dr. Trevor Rife regarding how his app "Field Book" can be used as a tool for plant phenotyping. Then, Dr. Jinha Jung, Dr. Minyoung Jung and Benjamin Hancock will introduce their open source online platform for UAS HTP data management and sharing. Both of these presentations are outcomes from AG2PI "coconut" (large seed) grants.
We invite you to register for this Zoom event at https://www.ag2pi.org/workshops-and-activities/field-day-2024-04-24/, where you will also find additional information. Upon registration, you will receive a confirmation email with information about joining the meeting. If you are unable to attend the live session, then you will be able to find a recording at ag2pi.org/<https://www.ag2pi.org/>, at a later date. You do not need to register to view the recording; it is readily available on the AG2PI website soon after the close of the event (generally within 24 hours).
Please share the attached, digitally accessible flyer with your colleagues or students and encourage them to attend.
Kind regards,
Nicole
------------------------
Nicole Scott, PhD
Program Specialist
Agricultural Genome to Phenome Initiative
Iowa State University
1111 WOI Rd
Ames, IA 50011
office: 1077 Roy J. Carver Co-Lab
phone: 515-294-3945
ag2pi.org<https://www.ag2pi.org/>
*** If you no longer wish to receive messages from AG2PI, then please visit https://www.ag2pi.org/join-ag2pi/unsubscribe/ to unsubscribe *** Please note, you cannot unsubscribe if you are receiving this message through a third party ***
Hi everybody,
This is a friendly reminder of our monthly webinar tomorrow (April 3rd) at
12 PM CDT. Zachary Miller <https://www.maizegenetics.net/zackmiller> will
talk about Practical Haplotype Graph (PHG), a streamlined and simple
pangenome system.
I have included below more details about the webinar and the Zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*The Practical Haplotype Graph Version 2: A Streamlined and Simple
Pangenome System*
The Practical Haplotype Graph (PHG) is a powerful tool for representing
diverse plant pangenomes and imputing new sample genotypes for breeding
programs and other purposes. Low-coverage sequencing data from various
technologies (DaRT, GBS, etc.) is sufficient to identify paths through the
graph, which can be stored efficiently within the PHG database or used to
call variants and create custom genomes for alignment. PHGv2 refines and
streamlines the original PHGv1 platform.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
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Meeting ID: 820 3835 6125
Passcode: 160683
ReplyForward
Hi everybody,
Join us next Wed, April 3rd, at 12 PM CDT for our monthly webinar. Zachary
Miller <https://www.maizegenetics.net/zackmiller> from Cornell University
will talk about Practical Haplotype Graph (PHG), a streamlined and simple
pangenome system.
I have included below more details about the webinar and the Zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*The Practical Haplotype Graph Version 2: A Streamlined and Simple
Pangenome System*
The Practical Haplotype Graph (PHG) is a powerful tool for representing
diverse plant pangenomes and imputing new sample genotypes for breeding
programs and other purposes. Low-coverage sequencing data from various
technologies (DaRT, GBS, etc.) is sufficient to identify paths through the
graph, which can be stored efficiently within the PHG database or used to
call variants and create custom genomes for alignment. PHGv2 refines and
streamlines the original PHGv1 platform.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+Monthly…>
*Join Zoom
Meetinghttps://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09
<https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09>*
Meeting ID: 820 3835 6125
Passcode: 160683
Dear everyone,
This is a friendly reminder to register for the *2024 AgBioData community
workshop *(April 29-30; May 2)!
This year's community workshop will be completely *VIRTUAL* and feature WG
presentations, breakout room sessions, and more from 9-11 AM CDT daily. We
are working on finalizing the workshop's agenda and will send it soon with
other useful information.
*Please register for the community workshop by completing this
form (https://forms.gle/MjLhMcw75YS3dWmcA
<https://forms.gle/MjLhMcw75YS3dWmcA>) **by April 15*.
I hope you will be able to join us!
Please let me know if you have any questions.
Have a lovely week.
Annarita
Dear AgBioData community members,
The next Agricultural Genome to Phenome Initiative (AG2PI) Field Day will be "Phenomic Prediction & Bioinformatic Workflows - AG2PI "Coconut" Grant Outcomes" and will be on Wednesday, March 20 from 10:30 AM to 12:00 PM (CDT, UTC-5). In this field day, we will first hear from Dr. Daniel Runcie regarding how phenomic prediction can be used as a tool for plant breeding. Then, Dr. Fiona McCarthy will review new bioinformatic workflows her team has developed to support genomic analyses. Both of these presentations are outcomes from AG2PI "coconut" (large seed) grants.
We invite you to register for this Zoom event at https://www.ag2pi.org/workshops-and-activities/field-day-2024-03-20/, where you will also find additional information. Upon registration, you will receive a confirmation email with information about joining the meeting. If you are unable to attend the live session, then you will be able to find a recording at ag2pi.org/<https://www.ag2pi.org/>, at a later date. You do not need to register to view the recording; it is readily available on the AG2PI website soon after the close of the event (generally within 24 hours).
Please share the attached, digitally accessible flyer with your colleagues or students and encourage them to attend.
Kind regards,
Nicole
------------------------
Nicole Scott, PhD
Program Specialist
Agricultural Genome to Phenome Initiative
Iowa State University
1111 WOI Rd
Ames, IA 50011
office: 1077 Roy J. Carver Co-Lab
phone: 515-294-3945
ag2pi.org<https://www.ag2pi.org/>
*** If you no longer wish to receive messages from AG2PI, then please visit https://www.ag2pi.org/join-ag2pi/unsubscribe/ to unsubscribe *** Please note, you cannot unsubscribe if you are receiving this message through a third party ***
Hi everybody,
Join us tomorrow, March. 6th, at 12 PM CDT, for our monthly webinar. Cyril
Pommier <https://orcid.org/0000-0002-9040-8733> will talk about FAIR plant
phenomics data management tools and guidelines from the ELIXIR and Emphasis
European infrastructures.
I have included below more details about the webinar and the Zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*FAIR Plant Phenomics Data Management Tools and Guidelines from ELIXIR and
Emphasis European Infrastructures*
Plant phenomics data has been greatly facilitated over the past ten years
at several levels: data standards to organize and describe data, databases
for the management of the experiments, data repositories to ensure
long-term accessibility supplemented by data portals to maximise
findability and finally, guidelines to ease their usage. We will review the
recent advances from joint initiatives involving two European
infrastructures: ELIXIR (Life science data) and EMPHASIS (Plant phenomics).
First, we will update the current status of MIAPPE (www.miappe.org), a data
standard interoperable with the Breeding API that enables not only
phenotyping experiment formalisation but also their linking with
genotyping. We will also give an overview of its usage in generic data
repositories such as Dataverse or Zenodo and their relation with
experimental databases such as PHIS. Finding the right documentation to use
those tools and standards is not always straightforward. The RDMKit (
https://rdmkit.elixir-europe.org/) is a guidelines portal that has been
built to help researchers find the information subset they need. Through a
dedicated section, such as the plant domain page (
https://rdmkit.elixir-europe.org/), it shows the complementarity between
standards and tools and provides the guidance needed for data management.
Finally, we will also update the status of FAIDARE (
https://urgi.versailles.inrae.fr/faidare/), a global data portal that
indexes 30 databases using either BrAPI or a generic minimal format.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
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<https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09>*
Meeting ID: 820 3835 6125
Passcode: 160683
Dear everyone,
We are happy to announce that the registration for the *2024 AgBioData
community workshop *(April 29-30; May 2) is now *OPEN*!
This year's community workshop will be completely *VIRTUAL* and feature WG
presentations and breakout room sessions from 9-11 AM CDT daily. We will
soon share more details on the workshop agenda and other helpful
information.
*Please register for the community workshop by completing this
form (https://forms.gle/MjLhMcw75YS3dWmcA
<https://forms.gle/MjLhMcw75YS3dWmcA>) **by April 15*.
I hope you will be able to join us!
Please let me know if you have any questions.
Have a lovely week.
Annarita
Hi everybody,
Please see below for details about a position as "Genomic Data Engineer" in
the Plant Comparative Analysis Group at the Joint Genome Institute:
*http://phxc1b.rfer.us/LBLbNj9kY <http://phxc1b.rfer.us/LBLbNj9kY>*
Best,
Annarita
Hi everybody,
Join us next Wed, March. 6th, at 12 PM CDT, for our monthly webinar. Cyril
Pommier <https://orcid.org/0000-0002-9040-8733> will talk about FAIR plant
phenomics data management tools and guidelines from the ELIXIR and Emphasis
European infrastructures.
I have included below more details about the webinar and the Zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*FAIR Plant Phenomics Data Management Tools and Guidelines from ELIXIR and
Emphasis European Infrastructures*
Plant phenomics data has been greatly facilitated over the past ten years
at several levels: data standards to organize and describe data, databases
for the management of the experiments, data repositories to ensure
long-term accessibility supplemented by data portals to maximise
findability and finally, guidelines to ease their usage. We will review the
recent advances from joint initiatives involving two European
infrastructures: ELIXIR (Life science data) and EMPHASIS (Plant phenomics).
First, we will update the current status of MIAPPE (www.miappe.org), a data
standard interoperable with the Breeding API that enables not only
phenotyping experiment formalisation but also their linking with
genotyping. We will also give an overview of its usage in generic data
repositories such as Dataverse or Zenodo and their relation with
experimental databases such as PHIS. Finding the right documentation to use
those tools and standards is not always straightforward. The RDMKit (
https://rdmkit.elixir-europe.org/) is a guidelines portal that has been
built to help researchers find the information subset they need. Through a
dedicated section, such as the plant domain page (
https://rdmkit.elixir-europe.org/), it shows the complementarity between
standards and tools and provides the guidance needed for data management.
Finally, we will also update the status of FAIDARE (
https://urgi.versailles.inrae.fr/faidare/), a global data portal that
indexes 30 databases using either BrAPI or a generic minimal format.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
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<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+March+W…>
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Meeting ID: 820 3835 6125
Passcode: 160683
Forwarding this announcement from Timothy P.L. Smith (USDA-ARS, Meat Animal
Research Center):
-------------------------------------------------------------------------
We are pleased to announce that Drs. Arang Rhie and Sergey Koren, from the
Center for Genomics and
Data Science Research at the National Institutes of Health, have agreed to
conduct an in-person hands-
on workshop on inspecting and resolving genome assembly graphs in
conjunction with the Advances in
Genome Biology and Technology Agriculture conference (AGBT-Ag) in Phoenix
on Sunday, April 14, 7-9
pm (following the RCN workshop). The workshop will be organized by Drs.
Brenda Murdoch and Ben
Rosen, and requires registration for the conference at www.agbt.org.
Resolving assembly graphs is an important component of generating full
haplotype separated diploid or
polyploid assemblies in animals or plants, and particularly important in
the context of “complete”
telomere-to-telomere (T2T) assembly. The Ruminant T2T project aims to
generate T2T assemblies of
cetartiodactyla species and other species that can generate the appropriate
data types but the graph
resolution step is a manual process and additional trained personnel would
be beneficial to speed
progress and accelerate other T2T efforts.
The training will cover evaluating assembly graphs in bandage, resolving
tangles that are amenable to
manual resolution, and generating assemblies with resolved sequence. Some
easy and difficult graphs
will be examined during the two hour workshop. We are very grateful that
Arang and Sergey are willing
to develop this tutorial and provide their expertise.
Please email Kelsey McClure at kelsey.mcclure(a)usda.gov if you want to
attend the workshop by March
5, so that we can make sure we can accommodate the number of interested
participants. If you hope to
attend but do not know if you will be able to by that deadline, please go
ahead and email with a
statement to that effect.
Dear AgBioData members,
We, Agricultural Genome to Phenome Initiative (AG2PI), have three announcements to share:
1. AG2PI virtual field days are back! The next field day will be held February 21, 10:30 AM to 12:00 PM (CST, UTC-6) and will highlight the "coconut" (large seed) grant projects led by Dr. Pankaj Jaiswal on plant stress ontology and by Dr. Seth Murray on building a more connected unmanned aerial systems (UAS) community. For more information and to register, visit https://www.ag2pi.org/workshops-and-activities/field-day-2024-02-21/.
1. Reminder: AG2PI is offering student conference travel grants up to $1500 to any* undergraduate and graduate students attending an institution in the US. Details and instructions to apply can be found on the AG2PI website (https://www.ag2pi.org/seed-grants/student-conference-travel-awards-2023-11-…). These will be awarded on a rolling basis until all funds are committed, so apply soon! Application portal will close by June 1, 2024 and all travel must be completed by August 1, 2024. (*students must be engaged in AG2PI-related research, broadly, to apply)
1. A Request for Proposals has been released by USDA NIFA for FY2024 regarding the AG2PI program. There will be a NIFA Technical Assistance Webinar for the RFP on March 21, 2024. Registration details can be found here: https://www.nifa.usda.gov/events/technical-assistance-webinar-agricultural-….
Please share this message with anyone you think might be interested in either of these opportunities.
Have a wonderful week,
Nicole
------------------------
Nicole Scott, PhD
Program Specialist
Agricultural Genome to Phenome Initiative
Iowa State University
1111 WOI Rd
Ames, IA 50011
office: 1077 Roy J. Carver Co-Lab
phone: 515-294-3945
ag2pi.org<https://www.ag2pi.org/>
*** If you no longer wish to receive messages from AG2PI, then please visit https://www.ag2pi.org/join-ag2pi/unsubscribe/ to unsubscribe *** Please note, you cannot unsubscribe if you are receiving this message through a third party ***
Hi everybody,
Join us today* at 12 PM CT *for our monthly webinar. We will have Alex
Ignatchenko and Paul Thomas talking about TreeGrafter, a method of
predicting Gene Ontology annotations, and other tools implemented in
InterProScan.
*Zoom link:
https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09
<https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09>.*
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*Alex Ignatchenko (EMBL-EBI):*
Gene Ontology (GO) Annotation (GOA) project at EMBL-EBI aims to provide
high-quality GO annotations to proteins in the UniProt Knowledgebase
(UniProtKB), RNA molecules from RNACentral and protein complexes from the
Complex Portal. Currently, the GOA database hosts 5 million manually
curated GO annotations from over 70 research groups. This set is used as a
foundation for 15 automatic GO annotation pipelines. The output data
re-generated ever 2 month and commonly referred to as Inferred from
Electronic Annotation (IEA). The IEA pipelines use range of statistical,
rule-based and machine learning algorithms to enrich existing GO annotation
coverage. The generated IEA set of over 1.1 billion GO annotations is
subject to over 130 checks, constraints and filters to ensure the quality
of predicted GO annotations. The GOA data is publicly available from GOA
ftp and the GO annotation browser QuickGO. The GOA team is constantly
looking for ways to improve the quality of GO annotations and gene product
coverage.
The TreeGrafter is a method of prediction of GO annotations based on
PANTHER family/subfamily and the InterPro signatures. The project is a
collaboration between PANTHER and the InterPro team at EMBL-EBI. The
algorithm was published in 2019, and it was incorporated into the InterPro
in the second half of 2023. The TreeGrafter mappings were processed and
added to the GOA database for testing shortly after. This implementation
resulted in about 301 million GO annotations after the GOA pipeline checks
and filters. More importantly, the final set has over 200 million GO
annotations, which is not predicted by any other IEA methods. The GOA team
plans to intergrade TreeGrafter GO annotation pipeline into the GOA
database and release it to public in a first half of 2024.
*Paul D. Thomas (University of Southern California and Gene Ontology
Consortium)Accurate annotation of protein sequences at large scale, using
evolutionary modeling*
Inferring (aka “annotating” or “predicting”) the functions of the vast
numbers of known protein sequences has been a longstanding challenge in
genomics. Over the last decade, a comprehensive system has been developed
for addressing this challenge based on constructing and applying models of
function evolution in protein families. The main components of the system–
including PANTHER phylogenetic trees, Gene Ontology phylogenetic
annotations and TreeGrafter software (now implemented in InterProScan)–
work together in an integrated software and data suite that is now
beginning to be broadly used to annotate the functions of protein-coding
genes. I will describe each of these components, as well as how the tool
can be easily used to annotate any set of protein-coding genes and how
users can give feedback to help improve the annotations.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+Monthly…>
Hi everybody,
This is a friendly reminder of our monthly webinar *tomorrow, Feb. 7th, at
12 PM CT*. Alex Ignatchenko and Paul Thomas will talk about TreeGrafter, a
method of predicting Gene Ontology annotations, and other tools implemented
in InterProScan.
I have included below more details about the webinar and the Zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*Alex Ignatchenko (EMBL-EBI):*
Gene Ontology (GO) Annotation (GOA) project at EMBL-EBI aims to provide
high-quality GO annotations to proteins in the UniProt Knowledgebase
(UniProtKB), RNA molecules from RNACentral and protein complexes from the
Complex Portal. Currently, the GOA database hosts 5 million manually
curated GO annotations from over 70 research groups. This set is used as a
foundation for 15 automatic GO annotation pipelines. The output data
re-generated ever 2 month and commonly referred to as Inferred from
Electronic Annotation (IEA). The IEA pipelines use range of statistical,
rule-based and machine learning algorithms to enrich existing GO annotation
coverage. The generated IEA set of over 1.1 billion GO annotations is
subject to over 130 checks, constraints and filters to ensure the quality
of predicted GO annotations. The GOA data is publicly available from GOA
ftp and the GO annotation browser QuickGO. The GOA team is constantly
looking for ways to improve the quality of GO annotations and gene product
coverage.
The TreeGrafter is a method of prediction of GO annotations based on
PANTHER family/subfamily and the InterPro signatures. The project is a
collaboration between PANTHER and the InterPro team at EMBL-EBI. The
algorithm was published in 2019, and it was incorporated into the InterPro
in the second half of 2023. The TreeGrafter mappings were processed and
added to the GOA database for testing shortly after. This implementation
resulted in about 301 million GO annotations after the GOA pipeline checks
and filters. More importantly, the final set has over 200 million GO
annotations, which is not predicted by any other IEA methods. The GOA team
plans to intergrade TreeGrafter GO annotation pipeline into the GOA
database and release it to public in a first half of 2024.
*Paul D. Thomas (University of Southern California and Gene Ontology
Consortium)Accurate annotation of protein sequences at large scale, using
evolutionary modeling*
Inferring (aka “annotating” or “predicting”) the functions of the vast
numbers of known protein sequences has been a longstanding challenge in
genomics. Over the last decade, a comprehensive system has been developed
for addressing this challenge based on constructing and applying models of
function evolution in protein families. The main components of the system–
including PANTHER phylogenetic trees, Gene Ontology phylogenetic
annotations and TreeGrafter software (now implemented in InterProScan)–
work together in an integrated software and data suite that is now
beginning to be broadly used to annotate the functions of protein-coding
genes. I will describe each of these components, as well as how the tool
can be easily used to annotate any set of protein-coding genes and how
users can give feedback to help improve the annotations.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+Monthly…>
Topic: AgBioData - SC bi-weekly meeting
Time: This is a recurring meeting Meet anytime
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Hi everybody,
After the holiday break and PAG 31, we are ready to restart our monthly
webinar series!
Join us next Wed, Feb. 7th, at 12 PM CT for our monthly webinar. Alex
Ignatchenko and Paul Thomas will talk about TreeGrafter, a method of
predicting Gene Ontology annotations, and other tools implemented in
InterProScan.
I have included below more details about the webinar and the Zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*Alex Ignatchenko (EMBL-EBI):*
Gene Ontology (GO) Annotation (GOA) project at EMBL-EBI aims to provide
high-quality GO annotations to proteins in the UniProt Knowledgebase
(UniProtKB), RNA molecules from RNACentral and protein complexes from the
Complex Portal. Currently, the GOA database hosts 5 million manually
curated GO annotations from over 70 research groups. This set is used as a
foundation for 15 automatic GO annotation pipelines. The output data
re-generated ever 2 month and commonly referred to as Inferred from
Electronic Annotation (IEA). The IEA pipelines use range of statistical,
rule-based and machine learning algorithms to enrich existing GO annotation
coverage. The generated IEA set of over 1.1 billion GO annotations is
subject to over 130 checks, constraints and filters to ensure the quality
of predicted GO annotations. The GOA data is publicly available from GOA
ftp and the GO annotation browser QuickGO. The GOA team is constantly
looking for ways to improve the quality of GO annotations and gene product
coverage.
The TreeGrafter is a method of prediction of GO annotations based on
PANTHER family/subfamily and the InterPro signatures. The project is a
collaboration between PANTHER and the InterPro team at EMBL-EBI. The
algorithm was published in 2019, and it was incorporated into the InterPro
in the second half of 2023. The TreeGrafter mappings were processed and
added to the GOA database for testing shortly after. This implementation
resulted in about 301 million GO annotations after the GOA pipeline checks
and filters. More importantly, the final set has over 200 million GO
annotations, which is not predicted by any other IEA methods. The GOA team
plans to intergrade TreeGrafter GO annotation pipeline into the GOA
database and release it to public in a first half of 2024.
*Paul D. Thomas (University of Southern California and Gene Ontology
Consortium)Accurate annotation of protein sequences at large scale, using
evolutionary modeling*
Inferring (aka “annotating” or “predicting”) the functions of the vast
numbers of known protein sequences has been a longstanding challenge in
genomics. Over the last decade, a comprehensive system has been developed
for addressing this challenge based on constructing and applying models of
function evolution in protein families. The main components of the system–
including PANTHER phylogenetic trees, Gene Ontology phylogenetic
annotations and TreeGrafter software (now implemented in InterProScan)–
work together in an integrated software and data suite that is now
beginning to be broadly used to annotate the functions of protein-coding
genes. I will describe each of these components, as well as how the tool
can be easily used to annotate any set of protein-coding genes and how
users can give feedback to help improve the annotations.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
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Topic: AgBioData Monthly Webinar
Time: This is a recurring meeting Meet anytime
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Hello everyone,
AgBioData will be at PAG 31 in San Diego on Jan. 12-17! Here are some
information on when and where you can find us at PAG:
- Join us for *our workshop *"*The AgBioData Consortium: Challenges and
Recommendations for FAIR Genetic, Genomic and Breeding Data*" on *Friday,
Jan. 12, at 4 PM* in room Town and Country C. Some of our working groups
and two talented early-career AgBioData members will present their works.
More details are available here <https://www.agbiodata.org/agb-pag31>.
- *Join us at booth #422* and meet our member database resources. We
will be there during exhibit hours to discuss our mission and answer your
questions.
- AgBioData will have two posters on Monday, Jan. 15, from 3-4.40.
- *PO0727*
-
*PO0643 *
- Our steering committee member, *Leonore Reiser*, will present about
AgBioData and our NSF RCN grant during the workshop "*Beyond the
National Plant Genome Initiative: New Frontiers and Grand Challenges in
Plant Genomics*." Her talk
<https://plan.core-apps.com/pag_2024/event/2562157f06c9714c1a4dcc7037839c83>
is scheduled for *Sunday, Jan. 14, at 2:10 PM.*
In addition, Ag2PI organized the workshop "*Supporting Agricultural
Genomics Through Bioinformatics*" on Tuesday, Jan. 16, at 6.20 PM in room
Palm 8. During the workshop, there will be a roundtable discussion about
how bioinformaticians can support the agricultural genomics community in
analyzing genomics data. This discussion will be led by plant and animal
researchers with a mixture of bioinformatics expertise and topics include:
- current barriers to doing reproducible genomic analyses
- how bioinformatics experts can more effectively support agricultural
researchers
- how to ensure students have the bioinformatics skills they will need
- commonalities for genomic analyses across plant, animal and microbial
data sets
Best regards,
Annarita
Hi everybody,
Join us TOMORROW, Dec. 6th, at 12 PM Central Time for our monthly webinar.
This webinar will focus on single-cell data and metadata management in
livestock and plants Benjamin Cole
<https://jgi.doe.gov/our-science/scientists-jgi/benjamin-cole-genomics-of-pl…>
, Christopher Tuggle <https://faculty.sites.iastate.edu/cktuggle/>, and Muskan
Kapoorand <https://github.com/kapoormuskan>.
I have included below more details about the webinar and the Zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*Benjamin Cole (Joint Genome Institute) on "Data management considerations
for plant single-cell genomics."*
While plants have arrived on the single-cell scene relatively late, the
number and complexity of plant single-cell datasets have exploded over the
past four years. With that massive increase in data has come a pressing
need to ensure accurate documentation of the experimental provenance of
plant single-cell datasets, not only for reproducibility but also for
reusability in meta-analyses. During this presentation, I will discuss the
current state of plant single-cell research as well as the most common
practices for data storage. I will also argue for the need for better
standards in the field, and what that could potentially enable.
*Christopher Tuggle (Iowa State University) & Muskan Kapoor (Iowa State
University) on "Single-Cell genomics data incorporation into agricultural
G2P research by building a FAIR data ecosystem."*
We will describe a pilot-scale project to determine if our current metadata
standards for livestock and crops can be used to ingest scRNAseq datasets
in a manner consistent with HCA DCP standards and if established resources
(e.g., Terra) can be used to analyze the ingested data. Currently, the most
comprehensive data ingestion portal for high throughput sequencing datasets
from plants, fungi, protists, and animals/humans is Annotare (located at
EMBL-European Bioinformatics Institute). For agricultural animal datasets,
another EMBL-EBI portal, the FAANG portal, has been developed. scRNAseq
data/metadata can be submitted to FAANG using a semi-automated process. We
have extended this tool for scRNAseq data so that files can be validated
using the HCA DCP metadata and data validation service. These files are
incorporated using EMBL-EBI’s HCA DCP ingestion service and transferred to
Terra for further analysis. We will also describe a Shiny-based web
application, implemented in R and called Shiny-PIGGI, for the single
cell-level transcriptomic study of pig immune tissues and peripheral blood
mononuclear cells, which will be an important resource for improved
annotation of porcine immune genes and cell types (
https://shinypiggi.ansci.iastate.edu). We intend to further build upon
these existing tools to construct a scientist-friendly data resource and
analytical ecosystem to facilitate single cell-level genomic analysis
through data ingestion, storage, retrieval, re-use, visualization, and
comparative annotation across agricultural species.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+Monthly…>
Topic: AgBioData Monthly Webinar
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
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Meeting ID: 820 3835 6125
Passcode: 160683
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Hi everybody,
The Board on Agriculture and Natural Resources is holding a seminar on
Access to Data *tomorrow, Dec. 5, at 11 AM ET.*
The meeting will explore a range of topics of interest to the food,
agriculture, and natural resources communities.
The open sessions of the meeting will include a presentation on research
priorities of the USDA Economic Research Service, a panel on disparities in
access to data and journal publications, a briefing on a new National
Academies report on Accelerating Decarbonization, and a presentation from
Colorado State University researchers on a National Climate Change Roadmap:
A Research Framework for U.S. Agriculture, Forestry, and Working Lands.
You can find more information here
<https://www.nationalacademies.org/event/41526_12-2023_board-on-agriculture-…>
.
Best,
Annarita
Hi everybody,
Join us next Wed, Dec. 6th, at 12 PM CT for our monthly webinar. This
webinar will focus on single-cell data and metadata management in livestock
and plants Benjamin Cole
<https://jgi.doe.gov/our-science/scientists-jgi/benjamin-cole-genomics-of-pl…>
, Christopher Tuggle <https://faculty.sites.iastate.edu/cktuggle/>, and Muskan
Kapoorand <https://github.com/kapoormuskan>.
I have included below more details about the webinar and the Zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*Benjamin Cole (Joint Genome Institute) on "Data management considerations
for plant single-cell genomics."*
While plants have arrived on the single-cell scene relatively late, the
number and complexity of plant single-cell datasets have exploded over the
past four years. With that massive increase in data has come a pressing
need to ensure accurate documentation of the experimental provenance of
plant single-cell datasets, not only for reproducibility but also for
reusability in meta-analyses. During this presentation, I will discuss the
current state of plant single-cell research as well as the most common
practices for data storage. I will also argue for the need for better
standards in the field, and what that could potentially enable.
*Christopher Tuggle (Iowa State University) & Muskan Kapoor (Iowa State
University) on "Single-Cell genomics data incorporation into agricultural
G2P research by building a FAIR data ecosystem."*
We will describe a pilot-scale project to determine if our current metadata
standards for livestock and crops can be used to ingest scRNAseq datasets
in a manner consistent with HCA DCP standards and if established resources
(e.g., Terra) can be used to analyze the ingested data. Currently, the most
comprehensive data ingestion portal for high throughput sequencing datasets
from plants, fungi, protists, and animals/humans is Annotare (located at
EMBL-European Bioinformatics Institute). For agricultural animal datasets,
another EMBL-EBI portal, the FAANG portal, has been developed. scRNAseq
data/metadata can be submitted to FAANG using a semi-automated process. We
have extended this tool for scRNAseq data so that files can be validated
using the HCA DCP metadata and data validation service. These files are
incorporated using EMBL-EBI’s HCA DCP ingestion service and transferred to
Terra for further analysis. We will also describe a Shiny-based web
application, implemented in R and called Shiny-PIGGI, for the single
cell-level transcriptomic study of pig immune tissues and peripheral blood
mononuclear cells, which will be an important resource for improved
annotation of porcine immune genes and cell types (
https://shinypiggi.ansci.iastate.edu). We intend to further build upon
these existing tools to construct a scientist-friendly data resource and
analytical ecosystem to facilitate single cell-level genomic analysis
through data ingestion, storage, retrieval, re-use, visualization, and
comparative annotation across agricultural species.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+Monthly…>
Topic: AgBioData Monthly Webinar
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
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Hello AgBioData community,
We are happy to announce that the sign-up for AgBioData working groups is
now OPEN! *Please complete this form <https://forms.gle/MeZZrCeSvUywxkQo6>
by November 22 at 12 p.m. ET to join one or more of our working groups.*
We will have two new working groups starting from January 2023, which are
the "*Phenotypic Data Standardization and Management*" and the "*scRNAseq
BIOCURATION*" working groups.
Two current working groups (i.e., the *DEI Recruiting* and *FAIR Scientific
Literature WGs*) are also recruiting new members to join their incredible
efforts. You can find more details about them in the form.
*We anticipate the commitment will generally be between 2-6 hours per month*,
including meeting attendance and offline work (e.g., literature, writing,
etc.).
This is your opportunity to shape the future of our research community by
contributing to developing best practices of data archiving and management
that can benefit you and all the other stakeholders. Participating in the
AgBioData working groups will also offer you opportunities for
- professional networking
- leadership skill development
- authorship in impactful manuscripts
Please share the registration link with anybody that you think can be
interested.
Thanks,
Annarita
Hi everybody,
The AgBioData steering committee (SC) is calling for nominations for new SC
members!
The SC is a vibrant, collaborative, and inclusive environment that offers
opportunities to expand your leadership skills, network with agricultural
research community stakeholders, and help achieve a FAIR agricultural data
ecosystem. *We are looking for candidates to serve as members of the
AgBioData SC willing to commit a proportion of time to AgBioData activities
(approximately 2 hours/week) for a term of 3 years. *
*Nominate yourself or somebody you think might fit the position by this
Friday, November 3rd at https://forms.gle/jVN6GZvbhS5QnJkB7
<https://forms.gle/jVN6GZvbhS5QnJkB7>.*
Best,
Annarita
Hi everybody,
Join us *TOMORROW, Nov. 1st, at 12 PM CT* for our monthly webinar. We will
host Ben Rosen
<https://www.ars.usda.gov/northeast-area/beltsville-md-barc/beltsville-agric…>,
who will talk about telomere-to-telomere genome assemblies of ruminant
species and how they will help answer important evolutionary questions.
I have included below more details about the webinar and the Zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Presenters: * Ben Rosen, USDA-ARS
*Abstract:*
*The Ruminant T2T Consortium*
The first draft of the human genome assembly was released over twenty years
ago. However, a gapless telomere-to-telomere (T2T) “complete” assembly
remained elusive until last year. The highly repetitive nature of
pericentromeric, subtelomeric, and duplicated gene families, such as rRNA
arrays, made them impossible to assemble. It was only with advances in
long-read sequencing technologies and new bioinformatic tools that these
structures were resolved. Recently, we proposed the application of these
new resources, tools, and knowledge in support of a “Ruminant T2T
Consortium.” Our goal is to generate complete genomes for the ruminant
evolutionary lineage. The ruminant Suborder comprises six Families and 66
living genera. These species are found in geographically dispersed areas
and have adapted to a wide variety of environments. They have also been
subjected to both natural and artificial selection. Our hypothesis is that
T2T assemblies of ruminant species with relatedness varying from those
capable of interbreeding to higher evolutionary distances (up to the
estimated 25 million years ago last common ancestor) will inform our
understanding of the underpinnings of ruminant evolution. It will also shed
light on the genomic consequences of domestication and enhance our
knowledge of the functional roles of heterochromatin and other repeat
regions of the genome.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
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