Hi everybody,
Next Wed, *November 2nd*, we will have *Jennifer Cross
<https://www.drjenicross.com/>* from Colorado State University talking
about the "*Science of Team Science*" and how team evaluation and coaching
can help interdisciplinary teams advance science and overcome institutional
and infrastructural challenges and barriers
Below you can find more details about the webinar and the zoom link to
attend the webinar.
We hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. Chris Mungall, Lawrence Berkeley National Laboratory
Host: Prof. John McNamara
Abstract:
*Science of Team Science: Using Developmental Evaluation to Advance
Transdisciplinary Teams and Evolve Science.*
For the past 20 years or more, science has been evolving to answer more
complex questions, which require more complex teams. While scientists are
eager to engage with diverse colleagues, academic institutions are slow to
change and present a variety of barriers to advancing science. I will
explore how the field “science of team science” has been growing and how
team assessment, evaluation, and coaching can help teams become more
effective. Case studies of interdisciplinary teams will be shared to
illustrate how developmental evaluation and assessment can help accelerate
team growth, and overcome institutional and infrastructural challenges and
barriers.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
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Dear AgBioData community,
You are still on time to suggest *new working groups for **Year 2 *of
our NSF Research
Coordination Network <http://agbiodata.org/node/487> grant about defining
community-based data sharing and management standards and promoting an
equitable and sustainable data ecosystem in agriculture.
As the technologies and approaches for generating, analyzing, and curating
data keep evolving, new issues and priorities related to data sharing
arise. *We would like to know from you what these priorities are and how we
can address them in new AgBioData working groups*.
Please share your feedback and suggestions through *this Google form
<https://forms.gle/nnGdXhfoTR64z3Ru9>* by *October 28th*!
After we have received your working group ideas, the steering committee
will 1) decide on the working group roster for year 2 and 2) launch the
participant sign-up for the working groups of Year 2. We anticipate that
the new working groups will start on January 11th, 2023.
Thank you for contributing to AgBioData's mission of making agricultural
data FAIR!
Best regards,
Annarita Marrano
On behalf of the AgBioData Steering Committee
Dear AgBioData community,
*We are soliciting ideas for new working groups for **Year 2 *of our
NSF Research
Coordination Network <http://agbiodata.org/node/487> grant about defining
community-based standards of data sharing and management, and promoting an
equitable and sustainable data ecosystem in agriculture.
As the technologies and approaches for generating, analyzing, and curating
data keep evolving, new issues and priorities related to data sharing
arise. *We would like to know from you what these priorities are and how we
can address them in new AgBioData working groups*.
Please share your feedback and suggestions through *this Google form
<https://forms.gle/nnGdXhfoTR64z3Ru9>* by *October 28th*!
After we have received your working group ideas, the steering committee
will 1) decide on the working group roster for year 2, and 2) launch the
participant sign up for the working groups of Year 2. We anticipate that
the new working groups will start January 11th, 2023.
Thank you for contributing to AgBioData mission of making agricultural data
FAIR!
Best regards,
Annarita Marrano
On Behalf of the AgBioData Steering Committee
Hi everybody,
This is a gentle reminder of tomorrow's webinar with *Chris Mungall
<https://bids.berkeley.edu/people/chris-mungall>* from the Lawrence
Berkeley National Laboratory. He will provide a practical guide on Gene
Ontology <http://geneontology.org/> and how to use it for functional
annotation in plants and animals.
Below you can find more details about the webinar and the zoom link to
attend the webinar.
We hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. Chris Mungall, Lawrence Berkeley National Laboratory
Host: Dr. Tanya Berardini
Abstract:
*The Gene Ontology: Making functional annotation of plants and animals
FAIR.*
The Gene Ontology is one of the most widely used databases in the
biosciences, covering functional annotation of genes and gene products
across a wide range of species. The GO is ubiquitously used to analyse a
variety of types of high-throughput experimental data. Originally created
to unify functional annotation across a handful of model organism
databases, the GO has grown to encompass more species, and the structure of
the GO has been extended to integrate with other ontologies such as CHEBI
and the Plant Ontology. The structure of annotations has also evolved, and
the GO now includes more expressive pathway-oriented annotations in the
form of GO-CAMs (Causal Activity Models). In this talk I will give a
practical guide to the structure of GO, how to find and request terms, how
to search and create annotations, and how to use GO tools. I will also talk
about how the broader AgBioData can contribute to the GO consortium to help
seed functional annotation efforts in a more diverse range of organisms,
and in particular with agriculturally relevant species.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
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Dear AgBioData community members,
The next Agricultural Genome to Phenome Initiative (AG2PI) Field Day will be "IP in livestock and plant genetics & breeding" and will be on Wednesday, October 19 from 10:30 AM to 12:00 PM (Central Time, UTC-5). In this field day, we will hear from two patent attorneys regarding intellectual property and patent policies as they apply to agricultural research in public and private sectors.
We invite you to register for this Zoom event at https://www.ag2pi.org/workshops-and-activities/field-day-2022-10-19/, 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,
Next Wed, *October 5th*, we will have *Chris Mungall
<https://bids.berkeley.edu/people/chris-mungall>* from the Lawrence
Berkeley National Laboratory talking about Gene Ontology
<http://geneontology.org/> and how to use it for functional annotation of
plants and animals.
Below you can find more details about the webinar and the zoom link to
attend the webinar.
We hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. Chris Mungall, Lawrence Berkeley National Laboratory
Host: Dr. Tanya Berardini
Abstract:
*The Gene Ontology: Making functional annotation of plants and animals
FAIR.*
The Gene Ontology is one of the most widely used databases in the
biosciences, covering functional annotation of genes and gene products
across a wide range of species. The GO is ubiquitously used to analyse a
variety of types of high-throughput experimental data. Originally created
to unify functional annotation across a handful of model organism
databases, the GO has grown to encompass more species, and the structure of
the GO has been extended to integrate with other ontologies such as CHEBI
and the Plant Ontology. The structure of annotations has also evolved, and
the GO now includes more expressive pathway-oriented annotations in the
form of GO-CAMs (Causal Activity Models). In this talk I will give a
practical guide to the structure of GO, how to find and request terms, how
to search and create annotations, and how to use GO tools. I will also talk
about how the broader AgBioData can contribute to the GO consortium to help
seed functional annotation efforts in a more diverse range of organisms,
and in particular with agriculturally relevant species.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+webinar…>
Topic: AgBioData Monthly Webinar
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
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Dear AgBioData community members,
The next Agricultural Genome to Phenome Initiative (AG2PI) Field Day is on Wednesday, September 21 from 10:30 AM to 12:00 PM (Central Time, UTC-5).
In this field day, we will hear from a selection of seed grant recipients regarding the work they are doing to further develop the AG2PI community and advance AG2P science and technology. Talks have been pre-recorded and are in a three-minute thesis format so we can hear from eight project principal investigators in total. Each talk will be played and followed by an open Q&A session.
Please note: these talks were recorded during the AG2PI "Thinking Big: Visualizing the Future of AG2PI" conference, which was co-hosted by USDA NIFA. Other recordings from this event are available on the AG2PI website at https://www.ag2pi.org/workshops-and-activities/conference-2022-09-09/.
We invite you to register for this Zoom event at https://www.ag2pi.org/workshops-and-activities/field-day-2022-09-21/, 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).
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 gentle reminder of *tomorrow's *webinar (*Sept. 7th*) with *Nicholas
J. Provart* from the University of Toronto. He will talk about the visual
analytic tools for transcriptomic and genomics data (e.g., *ePlant*) developed
by his lab and available at the Bio-Analytic <http://bar.utoronto.ca/>
Resource <http://bar.utoronto.ca/>.
Below you can find more details about the webinar and the zoom link to
attend the webinar.
We hope you will join us.
Best,
Annarita
-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. Nicholas J. Provart, the University of Toronto
Host: Dr. Sunita Kumari
Abstract:
*Raising the BAR for Hypothesis Generation in Plant Biology Using Open Big
Data.*
We have developed tools, available as part of the Bio-Analytic Resource at
http://bar.utoronto.ca, for exploring large data sets from plants, to allow
deeper insights into biological questions. My lab’s three visual analytic
tools for transcriptomic data (eFP Browser, ePlant, and eFP-Seq Browser)
allow for rapid access to comprehensive gene expression compendia we have
curated for identifying tissues, cell-types, or perturbations in which a
gene is active or alternatively spliced. Interactions, be they
protein-protein or regulatory, create networks. We have developed new tools
for exploring such data, either from large collections of
experimentally-supported protein-protein or protein-DNA interactions or
from predicted interactions, including protein-protein interactions
inferred from molecular docking studies. We are currently working on
integrating large-scale phenotype data from field trials monitored by
drone-based sensors into ePlants we have developed for several
agronomically-important species to improve understanding of links between
genotype and phenotype.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+monthly…>
Annarita Marrano is inviting you to a scheduled Zoom meeting.
Topic: AgBioData Monthly Webinar
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
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Hi everybody,
Next Wed, *Sept. 7th*, we will have *Nicholas J. Provart* from
the University of Toronto talking about the tools recently developed by his
lab and available at the Bio-Analytic <http://bar.utoronto.ca/>Resource
<http://bar.utoronto.ca> for analyzing large plant data sets.
Below you can find more details about the webinar and the zoom link to
attend the webinar.
We hope you will join us.
Best,
Annarita
-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. Nicholas J. Provart, the University of Toronto
Host: Dr. Sunita Kumari
Abstract:
*Raising the BAR for Hypothesis Generation in Plant Biology Using Open Big
Data.*
We have developed tools, available as part of the Bio-Analytic Resource at
http://bar.utoronto.ca, for exploring large data sets from plants, to allow
deeper insights into biological questions. My lab’s three visual analytic
tools for transcriptomic data (eFP Browser, ePlant, and eFP-Seq Browser)
allow for rapid access to comprehensive gene expression compendia we have
curated for identifying tissues, cell-types, or perturbations in which a
gene is active or alternatively spliced. Interactions, be they
protein-protein or regulatory, create networks. We have developed new tools
for exploring such data, either from large collections of
experimentally-supported protein-protein or protein-DNA interactions or
from predicted interactions, including protein-protein interactions
inferred from molecular docking studies. We are currently working on
integrating large-scale phenotype data from field trials monitored by
drone-based sensors into ePlants we have developed for several
agronomically-important species to improve understanding of links between
genotype and phenotype.
*| 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
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Hi everybody,
This is a gentle reminder of our webinar tomorrow (August 3rd). We will
have *ThankGod Ebenezer* from EMBL-EBI (UK) talking about the African
BioGenome Project (AfricaBP) project and the applications of genomic
approaches for food security and biodiversity conservation in Africa.
I have included below more details about the webinar and the zoom link to
attend the webinar.
We hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. ThankGod Ebenezer, EMBL-EBI (UK). AfricanBP
<https://africanbiogenome.org/>
Host: Dr. Jacqueline Campbell
Abstract:
*The African BioGenome Project (AfricaBP): Genomics in the service of
African biological diversity.*
Food security and biodiversity conservation represents a substantial issue
worldwide, and requires local solutions, as highlighted in the UN’s
Sustainable Development Goals. I will discuss the progress and process of
establishing a pan-African network to address this challenge through
genomic science and how this could inform and influence policy across
Africa.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
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Topic: AgBioData Monthly Webinar
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