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- W2162429168 abstract "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." @default.
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- W2162429168 date "2010-04-22" @default.
- W2162429168 modified "2023-09-26" @default.
- W2162429168 title "HangOut: generating clean PSI-BLAST profiles for domains with long insertions" @default.
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- W2162429168 doi "https://doi.org/10.1093/bioinformatics/btq208" @default.
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