Adam Gudyś retweeted
Vclust (the ultra-fast, high-accuracy tool for viral genome comparison & clustering) is now published:
nature.com/articles/s41592-0…
Great collaboration with @a_zielezinski, @AdamGudys, UAM guys, and Bas E.Dutilh
Adam Gudyś retweeted
I am happy to announce that ProteStAr, our compressor of CIF/PDB files with 3D atom coordinates, is now published at Bioinformatics. With this, you can store the whole ESM Atlas or AlphaFold DB in a few files (rather than 200M+) with fast random access.
doi.org/10.1093/bioinformati…
Adam Gudyś retweeted
Excited to share Vclust! It's a fast and accurate tool for calculating intergenomic similarities (like ANI) and clustering virus/#phage genomes/contigs according to ICTV and MIUViG standards.
💻 Tool: github.com/refresh-bio/vclus…
📄 Preprint: biorxiv.org/content/10.1101/…
Thread! 1/6 ↓
Adam Gudyś retweeted
After a few years of development, Kmer-db v.2, our tool for finding similar sequences in large collections of genomic data (even millions of viral genomes), is ready.
If interested, take a look at the GitHub repo and related paper. github.com/refresh-bio/kmer-…
biorxiv.org/content/10.1101/…
Adam Gudyś retweeted
Clustering large datasets can be challenging. Fortunately, even slow methods can sprint for sparse similarity matrices. Clusty offers s-, c-link, uclust, set-cover, cd-hit, leiden. The paper shows an application for 15M+ sequences.
github.com/refresh-bio/clust…
biorxiv.org/content/10.1101/…
Thinking of aligning a million of sequences? Take a look at our @COSB_CRSB review on ultra-scale protein sequence alignments. @SantusLuisa @edgano90 @sdeorowicz and @cnotred - great pleasure to work with you!
authors.elsevier.com/a/1grRh…
Adam Gudyś retweeted
NOMAD2 is an unsupervised, reference-free, ultra-fast next generation of NOMAD, revealing new insights into cancer transcriptomes. Joint work with @salzmanlab. Many thanks to all for great collab!
biorxiv.org/content/10.1101/…



