Abstract
Summary: Profile-based similarity search is an essential step in structure-function studies of proteins. However, inclusion of non-homologous sequence segments into a profile causes its corruption and results in false positives. Profile corruption is common in multidomain proteins, and single domains with long insertions are a significant source of errors. We developed a procedure (HangOut) that, for a single domain with specified insertion position, cleans erroneously extended PSI-BLAST alignments to generate better profiles. Availability: HangOut is implemented in Python 2.3 and runs on all Unix-compatible platforms. The source code is available under the GNU GPL license at http://prodata.swmed.edu/HangOut/. Contact: kim@chop.swmed.edu; grishin@chop.swmed.edu. Supplementary information: Supplementary data are available at Bioinformatics online.
Original language | English (US) |
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Article number | btq208 |
Pages (from-to) | 1564-1565 |
Number of pages | 2 |
Journal | Bioinformatics |
Volume | 26 |
Issue number | 12 |
DOIs | |
State | Published - Apr 22 2010 |
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics