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Figure 2 from A RNA Virus Reference Database (RVRD) to Enhance Virus  Detection in Metagenomic Data | Semantic Scholar
Figure 2 from A RNA Virus Reference Database (RVRD) to Enhance Virus Detection in Metagenomic Data | Semantic Scholar

Analysis and comparison of very large metagenomes with fast clustering and  functional annotation Weizhong Li, BMC Bioinformatics 2009 Present by  Chuan-Yih. - ppt download
Analysis and comparison of very large metagenomes with fast clustering and functional annotation Weizhong Li, BMC Bioinformatics 2009 Present by Chuan-Yih. - ppt download

CD-HIT and USEARCH report different %ids
CD-HIT and USEARCH report different %ids

Swarm: robust and fast clustering method for amplicon-based studies [PeerJ]
Swarm: robust and fast clustering method for amplicon-based studies [PeerJ]

Computational analysis and prediction of PE_PGRS proteins using machine  learning - Computational and Structural Biotechnology Journal
Computational analysis and prediction of PE_PGRS proteins using machine learning - Computational and Structural Biotechnology Journal

Genes | Free Full-Text | Ensemble-AMPPred: Robust AMP Prediction and  Recognition Using the Ensemble Learning Method with a New Hybrid Feature  for Differentiating AMPs
Genes | Free Full-Text | Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPs

CD-HIT User's Guide
CD-HIT User's Guide

PDF] Cd-hit: a fast program for clustering and comparing large sets of  protein or nucleotide sequences by Weizhong Li, Adam Godzik ·  10.1093/bioinformatics/btl158 · OA.mg
PDF] Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences by Weizhong Li, Adam Godzik · 10.1093/bioinformatics/btl158 · OA.mg

An example illustrating how the CD-HIT main paradigm works. Record 1 is...  | Download Scientific Diagram
An example illustrating how the CD-HIT main paradigm works. Record 1 is... | Download Scientific Diagram

GitHub - LeeBergstrand/CDHITtoFASTA: Extracts CD-Hit clusters which contain  reference proteins and stores them in FASTA format.
GitHub - LeeBergstrand/CDHITtoFASTA: Extracts CD-Hit clusters which contain reference proteins and stores them in FASTA format.

De Novo Assembly of the Transcriptome of the Non-Model Plant Streptocarpus  rexii Employing a Novel Heuristic to Recover Locus-Specific Transcript  Clusters | PLOS ONE
De Novo Assembly of the Transcriptome of the Non-Model Plant Streptocarpus rexii Employing a Novel Heuristic to Recover Locus-Specific Transcript Clusters | PLOS ONE

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

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

CD-HIT User's Guide
CD-HIT User's Guide

Frontiers | Comparison of Methods for Picking the Operational Taxonomic  Units From Amplicon Sequences
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
How to cluster peptide/protein sequences using cd-hit software? — Bioinformatics Review

Sensitive clustering of protein sequences at tree-of-life scale using  DIAMOND DeepClust | bioRxiv
Sensitive clustering of protein sequences at tree-of-life scale using DIAMOND DeepClust | bioRxiv

USEARCH performance
USEARCH performance

Index of /~psgendb/birchhomedir/FTP/doc/cd-hit
Index of /~psgendb/birchhomedir/FTP/doc/cd-hit

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

Clustering redundant transcripts in OmicsBox with CD-HIT %%page%%
Clustering redundant transcripts in OmicsBox with CD-HIT %%page%%

Fast Program for Clustering and Comparing Large Sets of Protein or  Nucleotide Sequences | SpringerLink
Fast Program for Clustering and Comparing Large Sets of Protein or Nucleotide Sequences | SpringerLink

PDF) CD-HIT: Accelerated for clustering the next-generation sequencing data
PDF) CD-HIT: Accelerated for clustering the next-generation sequencing data

An example illustrating how the CD-HIT main paradigm works. Record 1 is...  | Download Scientific Diagram
An example illustrating how the CD-HIT main paradigm works. Record 1 is... | Download Scientific Diagram

Cd-hit: a fast program for clustering and comparing large sets of protein  or nucleotide sequences.
Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences.

kClust: fast and sensitive clustering of large protein sequence databases |  BMC Bioinformatics | Full Text
kClust: fast and sensitive clustering of large protein sequence databases | BMC Bioinformatics | Full Text

Comparison of Methods for Biological Sequence Clustering
Comparison of Methods for Biological Sequence Clustering