Addressing the problem of automatic fault detection in woven and dyed fabric, we discuss a number of new statistical model-based methods and relate them to a first stage of point/local detection and a second stage of extended pattern detection. One model-based method defines a maximum likelihood bin
Blocks-based methods for detecting protein homology
β Scribed by Jorja G. Henikoff; Shmuel Pietrokovski; Claire M. McCallum; Steven Henikoff
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 431 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0173-0835
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β¦ Synopsis
Blocks-based methods for detecting protein homology
The most highly conserved regions of proteins can be represented as blocks of aligned sequence segments, typically with multiple blocks for a given protein family. The Blocks Database World Wide Web (http://blocks.fhcrc.org) and e-mail (blocks@blocks. fhcrc.org) servers provide tools to search DNA and protein queries against the Blocks+ Database of multiple alignments. We describe features for detection of distant relationships using blocks. Blocks+ includes protein families from the PROSITE, Prints, Pfam-A, ProDom and Domo databases. Other features include searching Blocks+ with the BLIMPS and NCBIΒ©s IMPALA programs, sequence logos, phylogenetic trees, threedimensional display of blocks on PDB structures, and a polymerase chain reaction (PCR) primer design strategy based on blocks.
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