MulBlast 1.0: a multiple alignment of BLAST output to boost protein sequence similarity analysis | Zendy

Gilles Labesse | Zendy

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MulBlast 1.0: a multiple alignment of BLAST output to boost protein sequence similarity analysis

Author(s) -

Gilles Labesse

Publication year - 1996

Publication title -

computer applications in the biosciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1460-2059

pISSN - 0266-7061

DOI - 10.1093/bioinformatics/12.6.463

Subject(s) - sequence (biology) , similarity (geometry) , computer science , multiple sequence alignment , sequence alignment , sequence analysis , algorithm , pattern recognition (psychology) , artificial intelligence , computational biology , peptide sequence , biology , genetics , gene , image (mathematics)

The protein sequence similarity search has become a major tool for biologists. Various efficient and rapid programs and comparison matrices have been designed and refined in order to perform the scanning task (BLAST, FASTA, Automat, etc.). However, the final step of the search, the analysis of the results, is still tedious and time consuming. In order to optimize true-positive hit screening, we have developed a program which makes a multiple alignment from the BLAST search output. Conserved sequence segments are pointed out. It makes the recognition of already known as well as new sequence patterns easier. It allows at a glance a rapid identification of significant similarities, protein family signature and new sequence motifs. This alignment is written in a compatible format for the GCG programs LineUp and ProfileMake.

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