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PDF] CD-HIT: accelerated for clustering the next-generation sequencing data | Semantic Scholar
Towards an Automated Population Genomics Pipeline for Microsatellite Screening and Primer Design
Gclust: A Parallel Clustering Tool for Microbial Genomic Data - ScienceDirect
PDF) CD-HIT: Accelerated for clustering the next-generation sequencing data
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Evaluation of full-length nanopore 16S sequencing for detection of pathogens in microbial keratitis [PeerJ]
Frontiers | Comparison of Methods for Picking the Operational Taxonomic Units From Amplicon Sequences | Microbiology
Frontiers | A de novo Full-Length mRNA Transcriptome Generated From Hybrid-Corrected PacBio Long-Reads Improves the Transcript Annotation and Identifies Thousands of Novel Splice Variants in Atlantic Salmon | Genetics
GenAPI: a tool for gene absence-presence identification in fragmented bacterial genome sequences | BMC Bioinformatics | Full Text
A Bioinformatic Analysis of Integrative Mobile Genetic Elements Highlights Their Role in Bacterial Adaptation - ScienceDirect
Fast Program for Clustering and Comparing Large Sets of Protein or Nucleotide Sequences | SpringerLink
Clustering huge protein sequence sets in linear time
RefPlantNLR is a comprehensive collection of experimentally validated plant disease resistance proteins from the NLR family | PLOS Biology
Clustering huge protein sequence sets in linear time | Nature Communications
CD-HIT: accelerated for clustering the next ... - Bioinformatics
Clustering redundant transcripts in OmicsBox with CD-HIT - BioBam
PDF) CD-HIT: Accelerated for clustering the next-generation sequencing data
Clustering huge protein sequence sets in linear time. - Abstract - Europe PMC
Plants | Free Full-Text | De novo Sequencing and Analysis of Salvia hispanica Tissue-Specific Transcriptome and Identification of Genes Involved in Terpenoid Biosynthesis | HTML
CD-HIT User's Guide
EdClust: A heuristic sequence clustering method with higher sensitivity
Clustering biological sequences with dynamic sequence similarity threshold | BMC Bioinformatics | Full Text
EdClust: A heuristic sequence clustering method with higher sensitivity
Clustering huge protein sequence sets in linear time
Fast Program for Clustering and Comparing Large Sets of Protein or Nucleotide Sequences | SpringerLink
