MGnify is a free resource for the assembly, analysis, archiving and browsing of microbiome derived sequence data. Service status: https://xitter.cf/t.co/nFJI4qFajO
Hinxton, UK
Joined February 2011
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At @ELIXIREurope's 2024 BioHackathon, we co-led work to improve how the metagenomics community can use RO-Crates to collectively describe and analyse more datasets, more efficiently. Our preprint envisions this as a federated microbiome analysis service: doi.org/10.37044/osf.io/3x27…
MGnify is also live on @bluesky
🦋 bsky.app/profile/mgnifydb.bs…
We will continue to post on both X and bluesky, and we look forward to engaging with you on your preferred platform.
We are very pleased to announce that we are now also live on @bluesky 🦋
Follow us and join our growing bioinformatics community as we are exploring the opportunities this platform has to offer.
bsky.app/profile/ebi.embl.or…
MGnify retweeted
Did you know that it's World Antimicrobial Resistance Awareness Week? So it's the perfect time to explore our new tutorial that explores the tools and resources that support AMR research. ebi.ac.uk/training/online/co…
Available to access at any time, for free.
#WAAW #AMR
ALT EMBL-EBI online tutorial Investigating antimicrobial resistance with EMBL-EBI resources A practical introduction Access anytime, anywhere
MGnify retweeted
@_martinbc just gave a great talk on the migration of MGnify, the metagenomics resource at @emblebi, to Nextflow, while adhering to @nf_core best practices!
Join @vagkaratzas on the 13th of November for a webinar: how our MGnify Proteins resource helps with exploration of the metagenomics sequence space. He'll demo newly released ways to query the dataset, and MGnifams - a new set of protein families derived from it.
We have a number of exciting webinars over the next month, which will go into more depth about several @emblebi resources including @uniprot @MGnifyDB @ebi_jdispatcher. You can also explore mouse phenotyping data with the @impc
Find out more: ebi.ac.uk/training/live-even…
ALT EMBL-EBI training Upcoming webinars Programmatic access to UniProt using Python A guide to Job Dispatcher sequence analysis tools and programmatic access MGnify Proteins: a new resource of 2.5 billion proteins for exploring metagenomics sequence space Investigating gene function and human disease through data on the IMPC portal
Take a sneak peek into some of the work done by the MGnify team as our coordinator Lorna Richardson talks about the exciting world of the microbiome data!
Did you know that almost everything has a microbiome? 🦠
Lorna Richardson, our Coordinator for Microbiome Resources, discusses the world of microbiomes and her fascination for uncovering new things hidden within them.
youtube.com/watch?v=kRJtFYrP…
@MGnifyDB
The BigQuery Public Dataset, hosted by @googlecloud, enables rapid direct querying of the database in the cloud: console.cloud.google.com/mar…
MGnify Proteins – our vast database of protein sequences derived from metagenomic sequencing – is now accessible via the web (ebi.ac.uk/metagenomics/prote…) and via @googlecloud BigQuery Public Datasets.
For the full news, see ebi.ac.uk/about/news/updates…
ALT Schematic of the MGnify Proteins resource. Metagenomic sequencing reads from a wide range of biomes are assembled. Protein sequences are predicted from these assemblies, and stored in a database of 2.5billion sequences. These are available via the web and ftp, searchable via HMMER and BigQuery, and structure predictions are also available.
The new web resource includes annotations and genomic context information for each protein cluster, along with a structure prediction from @AIatMeta's ESM Atlas when available. For example: ebi.ac.uk/metagenomics/prote…
MGnify retweeted
Plastic pollution is an environmental challenge. However, nature is creating its own solutions, such as plastic-eating bacteria.
Our researchers are using data from @TaraOcean_, @MGnifyDB and the #AlphaFold Database to find these enzymes in our oceans 🌊
nature.com/articles/s41587-0…
MGnify retweeted
It's been great getting back to running our courses after the summer break. This week we've enjoyed meeting participants for "Metagenomics bioinformatics at @MGnifyDB".
Interested in doing this course in 2025? Sign up to our list to receive updates: ebi.ac.uk/training/events/me…
ALT Metagenomics bioinformatics at MGnify 23 - 27 September, EMBL's European Bioinformatics Institute Virtual
MGnify retweeted
🎙🙌@NatureBiotech interviewed our project co-coordinator Rob Finn from @emblebi on "#Plastic-eating bacteria that boost the growing business of #bioremediation"! Read how #BlueRemediomics uses @MGnifyDB to screen for plastic-eating enzymes.👉 nature.com/articles/s41587-0…
MGnify retweeted
From @ensembl to @uniprot , the @ENASequence , and more, our data resources provide scientists with vital access to biodiversity data.
Discover how these data resources are supporting global biodiversity and climate change research.
ebi.ac.uk/about/news/technol…
MGnify retweeted
Coordinator @robdfinn was invited to present @BlueRemediomics developments again at #ISME19 in the marine ecology session - shown here is the updated version of the marine genomes catalogue in @MGnifyDB
Excited to present our work on MGnify genome catalogues at #ISME19 Tuesday afternoon. We are up to ~0.5 million genomes and ~30k species across 12 biomes. Stop by to chat all things MAGs if attending.
MGnify retweeted
Cyanobacteria are key players in the food chain to support all other life forms.
New research uncovers unique genetic adaptations that facilitate cyanobacteria symbioses, expanding our understanding of their role in sustaining our ecosystems.
nature.com/articles/s41598-0…
@blaxterlab
MGnify retweeted
Introducing the 😱OMG dataset and 🤖gLM2! OMG is a massive Open MetaGenomic corpus totaling 3.1Tbp of data and 3.3B proteins. We train gLM2, the first mixed-modality genomic language model, on OMG. 1/🧵 #BioML #AI4Science
We are thrilled to make the OMG dataset and gLM2 models available for the research community! Check out our latest preprint at tatta.bio/omg (BioRxiv link coming soon)
MGnify Genomes’ #marine catalogue has been updated to v2, with 33x the number of genomes compared to v1. It covers nearly 9x more species, and brings new annotations from our updated pipeline. This work is part of @BlueRemediomics and @EU_AtlantECO.
ebi-metagenomics.github.io/b…