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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

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

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

How to cluster peptide/protein sequences using cd-hit software? —  Bioinformatics Review
How to cluster peptide/protein sequences using cd-hit software? — Bioinformatics Review

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

A comparison of the performance of different clustering approaches. For...  | Download Scientific Diagram
A comparison of the performance of different clustering approaches. For... | Download Scientific Diagram

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: 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.

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

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

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

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

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

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

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

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

cdhit/doc/cdhit-user-guide.wiki at master · weizhongli/cdhit · GitHub
cdhit/doc/cdhit-user-guide.wiki at master · weizhongli/cdhit · GitHub

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

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.

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

Clustering
Clustering

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

using cd hit software? 0 - Issuu
using cd hit software? 0 - Issuu

MeShClust: an intelligent tool for clustering DNA sequences | bioRxiv
MeShClust: an intelligent tool for clustering DNA sequences | bioRxiv

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