Dear all,
The AgBioData Standards for Genetic Variation Working Group (SGV) is
preparing a white paper to support the adoption of rsIDs for agriculture
and seeks your valuable input and data to further our research efforts.
They invite the AgBioData community to join them on* July 18 at 11:00 ET *to
review the material and *discuss collaboration opportunities*. In
particular, the SGV is looking for the following information:
1. Genetic Markers Linked to Traits:
-
A list of genetic markers associated with specific traits used by the
breeding and research community across various agricultural species,
including plants, animals, and insects. See an example here
<https://docs.google.com/spreadsheets/d/167DaYxbdKejoL0l6UhGqMPu-GbGsW6vIok7…>
.
-
Information on the species and traits these markers are linked to and
the methodologies/platforms employed for genotyping in your community.
2. Functional Validation and Fitness Outcomes:
-
Examples of genetic variations that have been functionally validated,
including descriptions of the phenotypic differences these
variations lead
to.
-
Case studies or data demonstrating these genetic variations have
resulted in measurable fitness outcomes for the species in question.
-
Information on related publications and any supporting data available.
-
We would like to request examples from each of the different
species/database providers for review at the upcoming GV working group
meeting in July.
3. Standards and Data Access for Genetic & Phenotypic Variation:
FAIR/ Interoperability
-
Standard formats for exchanging information, identifiers, formats,
and controlled vocabulary on:
- Germplasm
- Genetic Variation
- Phenotypes
-
Types of views and files provided for data access.
-
Future targets for operating, displaying, or providing access to
these data types.
-
Usage of rsIDs and potential barriers to their adoption in your
resource.
-
For more information on RSIDs, please look at the following
document RefSNPs: Clustered Variants
<https://docs.google.com/document/d/1PHXqW7M50mE5SSl4Zprd904KCr9nWzSR4L8sx3U…>
4. Collaboration Opportunities:
-
Barriers encountered when working with these data types.
-
Opportunities for collaboration or data standards, sharing, and
interoperability.
We really appreciate your support and look forward to your positive
response to the request for information in any of the four categories.
*If you are willing to participate or are interested in contributing to our
initiative and would like to collaborate, please complete this form
(https://forms.gle/jcjWnLibHEKuESJe6 <https://forms.gle/jcjWnLibHEKuESJe6>)
by July 16. *We will follow up with you with the Zoom link and other
resources.
Best,
The AgBioData Standards for Genetic Variation WG
Dear all,
The scRNA Biocuration WG invites you to an open meeting on *July 17th at 8
a.m. PST / 10 a.m. CST / 11 a.m. EST / 5 p.m. CET* (Zoom link
<https://us06web.zoom.us/j/85091905235?pwd=Oqhn0Pvy3iXd5jObJi0JyacJy0bgmf.1>
).
Muskan Kapoor, a graduate research assistant in Tuggle lab, will discuss
the current state of developing a single-cell data portal for farm animals.
More details on the talk at the bottom of this email.
I hope you will join us.
Best,
Annarita
----------------------------------------------------------------------------------------------------------------
*Abstract*:
*Building a FAIR data ecosystem for incorporating single-cell genomics data
into agricultural G2P research*
The agriculture genomics community has numerous data submission standards
available, but the standards for describing and storing single-cell (SC,
e.g., scRNA-seq) data are comparatively underdeveloped. To bridge this gap,
we leveraged recent advancements in human genomics infrastructure, such as
the integration of the Human Cell Atlas Data Portal with Terra, a secure,
scalable, open-source platform for biomedical researchers to access data,
run analysis tools, and collaborate, co-developed by the Broad Institute of
MIT and Harvard, Microsoft, and Verily. In parallel, the Single Cell
Expression Atlas at EMBL-EBI offers a comprehensive data ingestion portal
for high-throughput sequencing datasets, including plants, protists, and
animals (including humans). Developing data tools connecting these
resources would offer significant advantages to the agricultural genomics
community. The FAANG data portal at EMBL-EBI emphasizes delivering rich
metadata and highly accurate and reliable annotation of farmed animals but
is not computationally linked to either of these resources. Herein, we
describe a pilot-scale project that determines whether the current FAANG
metadata standards for livestock can be used to ingest scRNA-seq datasets
into Terra in a manner consistent with HCA Data Portal standards.
Importantly, rich scRNA-seq metadata can now be brokered through the FAANG
data portal using a semi-automated process, thereby avoiding the need for
substantial expert curation. We have further extended the functionality of
this tool so that validated and ingested SC files within the HCA Data
Portal are transferred to Terra for further analysis. In addition, we
verified data ingestion into Terra, hosted on Azure, and demonstrated the
use of a workflow to analyze the first ingested porcine scRNA-seq dataset.
Additionally, we have also developed prototype tools to visualize the
output of scRNA-seq analyses on genome browsers to compare gene expression
patterns across tissues and cell populations. This JBrowse tool now
features distinct tracks, showcasing PBMC scRNA-seq alongside two bulk
RNA-seq experiments. We intend to further build upon these existing tools
to construct a scientist-friendly data resource and analytical ecosystem
based on Findable, Accessible, Interoperable, and Reusable (FAIR) SC
principles to facilitate SC-level genomic analysis through data ingestion,
storage, retrieval, re-use, visualization, and comparative annotation
across agricultural species.
Hello everyone,
We will be in Honolulu next week for the Plant Biology 2024 Conference!
If you will be there, join us for the "Plant Bioinformatics Resources for
FAIR Agricultural Data Discovery and Reuse" on Saturday, June 22, at 10 AM
in room 312. Some of our member databases will present their recent updates
and resources (https://www.agbiodata.org/pbr-aspb-2024).
We will also be in *booth #406* to meet all of you in person and talk about
our work and future directions.
Have a lovely week,
Annarita
Dear AgBioData members,
This is a friendly reminder to participate in our *brief survey* on the
impact of AgBioData activities on FAIR data management awareness if you
haven't already done so.
This survey is a follow-up to 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.
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 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,
This is a friendly reminder of our monthly webinar tomorrow at 12 PM CDT.
We have *Ethy Cannon *(USDA-ARS) talking about the *pan-genomic resources
at MaizeGDB*.
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:*
*Pan-genomic resources at MaizeGDB*
Pan-genomes, encompassing the entirety of genetic sequences found in a
collection of genome assemblies within a clade, can be more useful than
single reference genomes. This is especially true for Zea mays, which has a
particularly diverse and complex genome. Presenting full pan-genome data is
challenging, especially for a diverse species, but valuable when
pan-genomic data can be linked to extensive gene models and gene data,
including classical gene information, markers, insertions, expression and
proteomic data, and protein structures, as is the case at MaizeGDB. I will
present the pan-gene analysis pipeline Pandagma and MaizeGDB’s pan-gene
data centre, which offers a variety of browsing and visualizations,
including sequence alignment visualization, gene trees and more, which
enables exploration of pan-genes in Zea.
*| 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
Hi everybody,
Join us next Wed, June 5th, at 12 PM CDT for our monthly webinar. *Ethy
Cannon *(USDA-ARS) will talk about the *pan-genomic resources at MaizeGDB*.
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:*
*Pan-genomic resources at MaizeGDB*
Pan-genomes, encompassing the entirety of genetic sequences found in a
collection of genome assemblies within a clade, can be more useful than
single reference genomes. This is especially true for Zea mays, which has a
particularly diverse and complex genome. Presenting full pan-genome data is
challenging, especially for a diverse species, but valuable when
pan-genomic data can be linked to extensive gene models and gene data,
including classical gene information, markers, insertions, expression and
proteomic data, and protein structures, as is the case at MaizeGDB. I will
present the pan-gene analysis pipeline Pandagma, and MaizeGDB’s pan-gene
data centre, which offers a variety of browsing and visualizations,
including sequence alignment visualization, gene trees and more, which
enables exploration of pan-genes in Zea.
*| 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 AgBioData members,
This is a friendly reminder to participate in our *brief survey* on the
impact of AgBioData activities on FAIR data management awareness if you
haven't already done so.
This survey is a follow-up to 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
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/>
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