Protein sequence clustering with DIAMOND | University of Tübingen
Claire McWhite on Twitter: "New preprint with @ProfMonaSingh. We present vcMSA, a totally new algorithm for multiple sequence alignment that's based on clustering protein language representations of amino acids. No gaps penalties,
Diversity and sequence motifs of the bacterial SecA protein motor - ScienceDirect
Novel machine learning approaches revolutionize protein knowledge: Trends in Biochemical Sciences
Clustering huge protein sequence sets in linear time | Nature Communications
Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network | BMC Bioinformatics | Full Text
Sequence similarity clustering of all MCE proteins. A representative... | Download Scientific Diagram
Sequence Embedding for Clustering and Classification - ProcessMiner
clusterMaker: Creating and Visualizing Cytoscape Clusters
Microorganisms | Free Full-Text | A Systematic Approach to Bacterial Phylogeny Using Order Level Sampling and Identification of HGT Using Network Science
The hierarchical clustering of protein sequences from complete... | Download Scientific Diagram
Development of a novel clustering tool for linear peptide sequences - Dhanda - 2018 - Immunology - Wiley Online Library
Protein sequence clustering has been widely used as a part of the analysis of protein structure and function. We demonstrate an approach to protein clustering, - ppt download
Clustering huge protein sequence sets in linear time | bioRxiv
Large-scale sequence similarity analysis reveals the scope of sequence and function divergence in PilZ domain proteins | bioRxiv
![PDF] Minimum Spanning Tree-based Clustering Applied to Protein Sequences in Early Cancer Diagnosis | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/e887dab367f4c77f8b70f7d7a90b8fe77747a9bf/4-Figure1-1.png "PDF] Minimum Spanning Tree-based Clustering Applied to Protein Sequences in Early Cancer Diagnosis | Semantic Scholar")
PDF] Minimum Spanning Tree-based Clustering Applied to Protein Sequences in Early Cancer Diagnosis | Semantic Scholar
Clustering huge protein sequence sets in linear time | Nature Communications
2.4 billion sequences now available in the latest MGnify protein database release | EMBL-EBI
MSA-Regularized Protein Sequence Transformer toward Predicting Genome-Wide Chemical-Protein Interactions: Application to GPCRome Deorphanization | Journal of Chemical Information and Modeling
Clustering biological sequences with dynamic sequence similarity threshold | BMC Bioinformatics | Full Text
![PDF] Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/f77ee5140d2c9408165c6cb756344fa6b0067f10/2-Table1-1.png "PDF] Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences | Semantic Scholar")
PDF] Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences | Semantic Scholar
GitHub - soedinglab/kClust: kClust is a fast and sensitive clustering method for the clustering of protein sequences. It is able to cluster large protein databases down to 20-30% sequence identity. kClust generates
Frontiers | Comparison of Methods for Picking the Operational Taxonomic Units From Amplicon Sequences
How to cluster peptide/protein sequences using cd-hit software? — Bioinformatics Review
Sequence Clustering - an overview | ScienceDirect Topics
EFI - Enzyme Similarity Tool
![Help [PIR - Protein Information Resource]](https://proteininformationresource.org/pirwww/images/creationpirsf.jpg "Help [PIR - Protein Information Resource]")