Hi everybody,
Join us for our monthly webinar next Wednesday, Oct. 2nd, at 12 PM CDT.
Montana Smith will talk about the National Microbiome Data Collaborative
(NMDC) initiative and their work on advancing microbiome science through
FAIR and standardized metadata and data.
I have included more details about the webinar and the Zoom link to attend
the webinar below.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*NMDC: Advancing microbiome science through FAIR and standardized metadata
and data*
The National Microbiome Data Collaborative (NMDC)’s mission is to support a
FAIR microbiome data-sharing network through infrastructure, data
standards, and community building that addresses pressing challenges in
environmental sciences. In this webinar, we will dive into what the NMDC is
and how standardized metadata capture enables FAIR data. We will walk
through the 4 NMDC products and how they’re lowering barriers for
experimental scientists to conduct their research in a way that ensures
data re-use.
*| 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 for our monthly webinar tomorrow at 12 PM CDT! *Dr. David Emms from
InstaDeep* will discuss AgroNT, a foundational large language model for
plant genomics.
I have included more details about the webinar and the Zoom link to attend
the webinar below.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:*
*AgroNT: A Foundational Large Language Model for Plant Genomics*
Foundational large language models can be pre-trained on large unlabelled
datasets and subsequently fine-tuned to a wide range of specific tasks.
We’ll present AgroNT (Agro Nucleotide Transformer), a foundational DNA
large language model pre-trained on reference genomes from 48 plant species
with a predominant focus on crops. We have shown that AgroNT can be
fine-tuned to obtain state-of-the-art predictions of many genomic elements,
including polyadenylation sites, splice sites, open chromatin and enhancer
regions. Furthermore, AgroNT can be fine-tuned to e.g. predict
tissue-specific gene expression levels or to prioritize functional variants.
Building on our Nucleotide Transformer, the novel SegmentNT model is able
to make nucleotide resolution predictions, well suited to tasks such as de
novo genome annotation of previously unseen species. Both our AgroNT and
SegmentNT models are open-sourced for academic research and non-commercial
uses on our GitHub repository
https://github.com/instadeepai/nucleotide-transformer and HuggingFace space
https://huggingface.co/InstaDeepAI.
*| 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
