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May 26, 2006BioinformaticsOpen Access

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

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Authors

WLWeizhong LiAGAdam Godzik

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Overview

This randomized trial evaluates cd-hit programs for clustering and comparing protein and nucleotide sequences, indicating significant efficiency gains.

Key Points

  • The central aim is to present an efficient algorithm for clustering and comparing large sets of protein and nucleotide sequences.
  • Developed multiple versions of the cd-hit program for clustering and comparison of sequences.
  • Evaluated performance against traditional tools like BLAST.
  • Demonstrated efficiency in handling large databases with millions of sequences.
  • Cd-hit can cluster millions of protein sequences significantly faster than BLAST.
  • New programs cd-hit-2d and cd-hit-est perform rapid comparisons across datasets.
  • The efficiency of cd-hit algorithms could enhance bioinformatics workflows.

Cite This Study

Li et al. (2006) studied this question.

synapsesocial.com/papers/69cd082c3dbc5538dfcf4349https://doi.org/10.1093/bioinformatics/btl158
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