Hello everyone,
Join us next *Wednesday, May 6th at 1 pm ET* for a compelling look at how
MaizeGDB is transforming maize research with AI-ready data infrastructure.
Discover how cutting-edge DNA and protein language models, precomputed
features, and interactive tools are unlocking faster gene discovery and
smarter crop improvement. See how standardized, accessible genomics data is
paving the way for the next generation of agricultural innovation.
As part of the AgBioData webinar series, *Olivia Haley*, a USDA-ARS
Postdoctoral Research Fellow at the Oak Ridge Institute for Science and
Education, will present the talk titled: “*Delivering AI-Ready Genomics
with MaizeGDB*”.
The zoom link and abstract are below. We hope you can join us!
Best,
Marcela
--
Wednesday, May 6th, 1PM ET
| 1P ET | 12P CT | 11A MT | 10A PT |
Find your local time *here*
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+May+202…>
.
Join Zoom Meeting
https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09
Meeting ID: 820 3835 6125
Passcode: 160683
--
Speaker: *Olivia Haley, *USDA-ARS Postdoctoral Research Fellow at the Oak
Ridge Institute for Science and Education
Title: Delivering AI-Ready Genomics with MaizeGDB
Abstract: The integration of Artificial Intelligence (AI) into
computational biology is changing biological research, particularly in
agriculture, where large and complex datasets offer opportunities for
discovery and crop improvement. Maize (Zea mays L.), a globally critical
crop with extensive genomic, genetic, proteomic, and functional resources,
stands to benefit from AI integration. The Maize Genetics and Genomics
Database (MaizeGDB) is proactively building an AI-ready infrastructure by
standardizing datasets, pre-computing complex features, developing novel
interactive tools, and providing reproducible workflows. This paper details
MaizeGDB's strategic initiatives to create a foundation of AI-ready data in
standardized formats and generate precomputed embeddings from cutting-edge
DNA and protein language models. We introduce new functionalities,
including zero-shot variant effect scoring derived from biological language
models (protein and DNA) and genome browser tracks for visualizing
nucleotide conservation (conveying potential functional significance).
Furthermore, we provide custom dataset assembly resources and reproducible
workflows via GitHub. By providing access to and organization of maize
data, MaizeGDB enables the maize research and breeding community to
leverage AI for the accelerated discovery of gene function, variant
interpretation, and the development of improved maize varieties.
--
Marcela Karey Tello-Ruiz, PhD
AgBioData Program Manager
Phoenix Bioinformatics
Dear AgBioData Community:
Please see below an event on single-cell RNA-seq analysis that may be of
interest to some of you.
Regards,
Marcela
*From: *Alex Clop <alex.clop(a)cragenomica.es>
*Date: *Monday, April 27, 2026 at 9:30 AM
*To: *faang-SingleCell(a)animalgenome.org <faang-singlecell(a)animalgenome.org>,
Giuseppe-Antonio Saldi <gas361(a)nyu.edu>
*Subject: *Seminar 18 May 2026 by G Saldi on analysis of scRNA-seq data
Dear colleagues,
Within the framework of the regular seminar series organized by the FAANG
Single Cell Task Force, we are pleased to announce an upcoming online
seminar by Dr Giuseppe A. Saldi (New York University Abu Dhabi, UAE).
Dr Saldi is a bioinformatician with extensive expertise in the analysis of
single cell RNA sequencing (scRNA-seq) data and in the development of
computational methodologies and tools for single cell transcriptomics
(*https://scholar.google.com/citations?user=o7hIBDwAAAAJ&hl=fr__;!!D9dNQwwGXtA!TtXNLgMw37gAnM6lXo0OjOEgUVNTMnd-6QSm357Ny8ggn1vgEGZzMLGGZulOSlfgMPrDyEofuxImdvzfEtviiA$
<https://scholar.google.com/citations?user=o7hIBDwAAAAJ&hl=fr__;!!D9dNQwwGXt…>*
).
In this seminar, Dr Saldi will present an overview of the core analytical
steps in scRNA-seq data analysis, with emphasis on the statistical and
biological rationale underlying each step, from raw data pre-processing
through differential gene expression (DGE) testing.
The focus will be on conceptual frameworks, assumptions, and common
pitfalls associated with standard scRNA-seq workflows (e.g. quality control
metrics, dimensionality reduction, and DGE design). Given the limited
duration, the seminar will not provide an exhaustive comparison of
alternative methods or software packages (e.g. detailed benchmarking of
normalization strategies) but will instead aim to clarify why specific
analytical steps are required and how analytical choices propagate
downstream.
Date: Monday, May 18, 2026
Time: 17:00–19:40 (Central European Summer Time, CEST)
(Time conversions for other time zones are provided at the end of this
email)
Format: Online
The session is structured to encourage active discussion, with dedicated
question and discussion periods following each module.
Title: Analytical considerations in single cell RNA seq: from
pre-processing to differential gene expression analysis
Program (~2 h 40 min):
• 17:00 – Welcome and introduction (~5 min)
• 17:05 – Background and high-level workflow overview (~15 min)
*Data structure, noise sources in scRNA-seq, and positioning of key
analytical steps*
• 17:20 – Quality control considerations (~25 min)
*Cell and gene level QC metrics; mitochondrial transcript proportions;
detection of doublets/multiplets; ambient RNA contamination and background
correction*
• 17:45 – Discussion (~15 min)
• 18:00 – Break (15 min)
• 18:15 – Feature selection and dimensionality reduction (~30 min)
*Normalization and variance stabilization; log1p transformation;
identification of highly variable genes (HVGs); principal component
analysis (PCA)*
• 18:45 – Discussion (~15 min)
• 19:00 – Differential gene expression (DGE) analysis (~25 min)
*DGE strategies in single cell contexts; pseudo replication; statistical
power; appropriate experimental and model design*
• 19:25 – Discussion (~15 min)
• 19:40 – Closing remarks
Access: The seminar will be held online via Teams: *Joseph FAANG SC |
Meeting-Join | Microsoft Teams
<https://teams.microsoft.com/meet/348312092317295?p=jgru5YQSAWnvSG00a2>*
Time zone conversions:
• CEST (Barcelona): 17:00–19:40
• New York (EDT): 11:00–13:40
• Los Angeles (PDT): 08:00–10:40
• Beijing (CST): 23:00–01:40 (+1 day)
• Tokyo (JST): 00:00–02:40 (+1 day)
• Sydney (AEST): 01:00–03:40 (+1 day)
Note that you may have received, in parallel, an automatic email from Teams
informing about this seminar, as a result of the schedule of this meeting
in the Teams calendar.
With kind regards,
Alex Clop¹ and Christopher K. Tuggle²
¹ Centre for Research in Agricultural Genomics (CRAG)
Campus UAB
08193 Cerdanyola del Vallès
Catalonia, Spain
*https://www.cragenomica.es <https://www.cragenomica.es/>*
² Iowa State University — Department of Animal Science
C. F. Curtiss Distinguished Professor in Agriculture and Life Sciences
806 Stange Road, 2255 Kildee Hall
Ames, IA 50011, USA
Email: *cktuggle(a)iastate.edu <cktuggle(a)iastate.edu>*
Phone: +1 515 294 4252
FAX 515-294-2401
*http://www.ans.iastate.edu/people/christopher-tuggle
<http://www.ans.iastate.edu/people/christopher-tuggle>*
--
Marcela Karey Tello-Ruiz, PhD
AgBioData Program Manager
Phoenix Bioinformatics
Dear AgBioData Community,
Tomorrow, Monday April 19, will be the kickoff of our 2026 AgBioData
Community Workshop!
This workshop is a great opportunity to connect, share ideas, and
collaborate on advancing agricultural data resources.
If you have not yet registered and want to join virtually, please respond
now:
https://tinyurl.com/agbiodata2026
The workshop program is available on our website:
https://www.agbiodata.org/2026-agbcomworks
Our Working Agenda
<https://docs.google.com/document/d/1nZNyadmxqOEQcDyxiotahVOnxFkmAUswavMs5PD…>
(subject
to change) includes logistics and Zoom links for all sessions. All sessions
will use Zoom and Slack. Please join Slack in advance if you have not
already. Workshop channels are prefixed with *ag-workshop26-*, organized by
breakout session, and will include Zoom links as well as serve as hubs for
discussion and resource sharing.
Highlights include:
- AgBioData Working Groups and Funding updates 🌱 🐄 🧬 🖥️
- Interactive breakout discussions on Artificial Intelligence for Data
FAIRification & Data Biocuration, FAIR Scientific Literature, etc. 🤖 🧠
- Database Sustainability: One-pagers for scientific research
stakeholders (Researchers, Industry Partners, Legislators, Publishers) 🔬
🚜 ⚖️ 📚
- Network Sustainability: Discussions on shared infrastructure,
resources and funding for keeping AgBioData going strong! 👩🌾 💻 💪
- International priorities open discussion 🌍 🌎 🌏
These sessions are interactive, and your participation is highly encouraged.
If you have any questions or need assistance ahead of the workshop, please
don’t hesitate to reach out.
We look forward to a productive and engaging event.
Best regards,
Marcela Karey Tello-Ruiz
On behalf of the AgBioData Community Workshop Organizing Committee
--
Marcela Karey Tello-Ruiz, PhD
AgBioData Program Manager
Phoenix Bioinformatics
Hello AgBioData Friends,
Please take a minute to nominate a colleague
<https://agbiodata.us18.list-manage.com/track/click?u=fa993e8c3bab82b2a98140…>
or
two for the following AgBioData Awards categories before next *Wednesday,
April 8*:
- Mission and Leadership
- Best Working Group Member
- FAIRification
The awards ceremony will take place on the last day of the Community
Workshop (April 22).
Also note that the deadline for Ambassador Awards
<https://agbiodata.us18.list-manage.com/track/click?u=fa993e8c3bab82b2a98140…>
was
extended to *April 13*.
Enjoy the holidays if you celebrate!
Marcela
--
Marcela Karey Tello-Ruiz, PhD
AgBioData Program Manager
Phoenix Bioinformatics