Finding Protein and Nucleotide Similarities with FASTA
Open Access
- 24 March 2016
- journal article
- unit
- Published by Wiley in Current Protocols in Bioinformatics
- Vol. 53 (1) , 3.9.1-3.9.25
Abstract
The FASTA programs provide a comprehensive set of rapid similarity searching tools (fasta36, fastx36, tfastx36, fasty36, tfasty36), similar to those provided by the BLAST package, as well as programs for slower, optimal, local, and global similarity searches (ssearch36, ggsearch36), and for searching with short peptides and oligonucleotides (fasts36, fastm36). The FASTA programs use an empirical strategy for estimating statistical significance that accommodates a range of similarity scoring matrices and gap penalties, improving alignment boundary accuracy and search sensitivity. The FASTA programs can produce “BLAST‐like” alignment and tabular output, for ease of integration into existing analysis pipelines, and can search small, representative databases, and then report results for a larger set of sequences, using links from the smaller dataset. The FASTA programs work with a wide variety of database formats, including mySQL and postgreSQL databases. The programs also provide a strategy for integrating domain and active site annotations into alignments and highlighting the mutational state of functionally critical residues. These protocols describe how to use the FASTA programs to characterize protein and DNA sequences, using protein:protein, protein:DNA, and DNA:DNA comparisons. © 2016 by John Wiley & Sons, Inc.Keywords
This publication has 28 references indexed in Scilit:
- Adjusting scoring matrices to correct overextended alignmentsBioinformatics, 2013
- Accelerated Profile HMM SearchesPLOS Computational Biology, 2011
- HMMER web server: interactive sequence similarity searchingNucleic Acids Research, 2011
- RefProtDom: a protein database with improved domain boundaries and homology relationshipsBioinformatics, 2010
- Striped Smith–Waterman speeds database searches six times over other SIMD implementationsBioinformatics, 2006
- Comparison of DNA Sequences with Protein SequencesGenomics, 1997
- Aligning a DNA Sequence with a Protein SequenceJournal of Computational Biology, 1997
- Statistics of local complexity in amino acid sequences and sequence databasesComputers & Chemistry, 1993
- The rapid generation of mutation data matrices from protein sequencesBioinformatics, 1992
- A new algorithm for best subsequence alignments with application to tRNA-rRNA comparisonsJournal of Molecular Biology, 1987