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SIB-BLAST:一个用于在PSI-BLAST搜索中更好地区分真阳性和假阳性的网络服务器。

SIB-BLAST: a web server for improved delineation of true and false positives in PSI-BLAST searches.

作者信息

Lee Marianne M, Chan Michael K, Bundschuh Ralf

机构信息

The Ohio State Biophysics Program, Ohio State University, Columbus, OH 43210-1117, USA.

出版信息

Nucleic Acids Res. 2009 Jul;37(Web Server issue):W53-6. doi: 10.1093/nar/gkp301. Epub 2009 May 8.

DOI:10.1093/nar/gkp301
PMID:19429693
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2703926/
Abstract

A SIB-BLAST web server (http://sib-blast.osc.edu) has been established for investigators to use the SimpleIsBeautiful (SIB) algorithm for sequence-based homology detection. SIB was developed to overcome the model corruption frequently observed in the later iterations of PSI-BLAST searches. The algorithm compares resultant hits from the second iteration to the final iteration of a PSI-BLAST search, calculates the figure of merit for each 'overlapped' hit and re-ranks the hits according to their figure of merit. By validating hits generated from the last profile against hits from the first profile when the model is least corrupted, the true and false positives are better delineated, which in turn, improves the accuracy of iterative PSI-BLAST searches. Notably, this improvement to PSI-BLAST comes at minimal computational cost as SIB-BLAST utilizes existing results already produced in a PSI-BLAST search.

摘要

已建立一个SIB-BLAST网络服务器(http://sib-blast.osc.edu),供研究人员使用SimpleIsBeautiful(SIB)算法进行基于序列的同源性检测。开发SIB是为了克服在PSI-BLAST搜索的后期迭代中经常观察到的模型损坏问题。该算法将PSI-BLAST搜索第二次迭代的结果命中与最终迭代进行比较,计算每个“重叠”命中的品质因数,并根据其品质因数对命中进行重新排序。通过在模型损坏最小的时候将最后一个轮廓生成的命中与第一个轮廓的命中进行验证,可以更好地区分真阳性和假阳性,从而提高迭代PSI-BLAST搜索的准确性。值得注意的是,对PSI-BLAST的这种改进只需最小的计算成本,因为SIB-BLAST利用了PSI-BLAST搜索中已经产生的现有结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3598/2703926/2a72a64c25fe/gkp301f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3598/2703926/2a72a64c25fe/gkp301f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3598/2703926/2a72a64c25fe/gkp301f1.jpg

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