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Clustering biological sequences with dynamic sequence similarity threshold | BMC Bioinformatics | Full Text
Clustering biological sequences with dynamic sequence similarity threshold | BMC Bioinformatics | Full Text

Diversity and sequence motifs of the bacterial SecA protein motor - ScienceDirect
Diversity and sequence motifs of the bacterial SecA protein motor - ScienceDirect

Clustering huge protein sequence sets in linear time | bioRxiv
Clustering huge protein sequence sets in linear time | bioRxiv

Protein sequence clustering with DIAMOND | University of Tübingen
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,
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,

Novel machine learning approaches revolutionize protein knowledge: Trends in Biochemical Sciences
Novel machine learning approaches revolutionize protein knowledge: Trends in Biochemical Sciences

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences | PNAS
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences | PNAS

Hierarchical clustering of the HL4E10 protein sequence with known... | Download Scientific Diagram
Hierarchical clustering of the HL4E10 protein sequence with known... | Download Scientific Diagram

Microorganisms | Free Full-Text | A Systematic Approach to Bacterial Phylogeny Using Order Level Sampling and Identification of HGT Using Network Science
Microorganisms | Free Full-Text | A Systematic Approach to Bacterial Phylogeny Using Order Level Sampling and Identification of HGT Using Network Science

Visualizing and Clustering Protein Similarity Networks: Sequences, Structures, and Functions | Journal of Proteome Research
Visualizing and Clustering Protein Similarity Networks: Sequences, Structures, and Functions | Journal of Proteome Research

Sequence Clustering Update
Sequence Clustering Update

Protein Multiple Sequence Alignments - T-Coffee Tutorials
Protein Multiple Sequence Alignments - T-Coffee Tutorials

2.4 billion sequences now available in the latest MGnify protein database release | EMBL-EBI
2.4 billion sequences now available in the latest MGnify protein database release | EMBL-EBI

Help [PIR - Protein Information Resource]
Help [PIR - Protein Information Resource]

Partitioning clustering algorithms for protein sequence data sets – topic of research paper in Biological sciences. Download scholarly article PDF and read for free on CyberLeninka open science hub.
Partitioning clustering algorithms for protein sequence data sets – topic of research paper in Biological sciences. Download scholarly article PDF and read for free on CyberLeninka open science hub.

DPCfam: Unsupervised protein family classification by Density Peak Clustering of large sequence datasets | PLOS Computational Biology
DPCfam: Unsupervised protein family classification by Density Peak Clustering of large sequence datasets | PLOS Computational Biology

Clustering huge protein sequence sets in linear time | Nature Communications
Clustering huge protein sequence sets in linear time | Nature Communications

Sequence Embedding for Clustering and Classification - ProcessMiner
Sequence Embedding for Clustering and Classification - ProcessMiner

Navigating the amino acid sequence space between functional proteins using a deep learning framework [PeerJ]
Navigating the amino acid sequence space between functional proteins using a deep learning framework [PeerJ]

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
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

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