000114993 001__ 114993
000114993 005__ 20181203021034.0
000114993 037__ $$aARTICLE
000114993 245__ $$aESTScan: a program for detecting, evaluating, and reconstructing potential coding regions in EST sequences
000114993 269__ $$a1999
000114993 260__ $$c1999
000114993 336__ $$aJournal Articles
000114993 500__ $$aISMB 1999 best paper award
000114993 520__ $$aOne of the problems associated with the large-scale analysis of unannotated, low quality EST sequences is the detection of coding regions and the correction of frameshift errors that they often contain. We introduce a new type of hidden Markov model that explicitly deals with the possibility of errors in the sequence to analyze, and incorporates a method for correcting these errors. This model was implemented in an efficient and robust program, ESTScan. We show that ESTScan can detect and extract coding regions from low-quality sequences with high selectivity and sensitivity, and is able to accurately correct frameshift errors. In the framework of genome sequencing projects, ESTScan could become a very useful tool for gene discovery, for quality control, and for the assembly of contigs representing the coding regions of genes.
000114993 700__ $$aIseli, C.
000114993 700__ $$aJongeneel, C. V.
000114993 700__ $$g113607$$aBucher, P.$$0244404
000114993 773__ $$tProc Int Conf Intell Syst Mol Biol$$q138-148
000114993 909C0 $$xU11780$$0252244$$pGR-BUCHER
000114993 909CO $$pSV$$particle$$ooai:infoscience.tind.io:114993
000114993 917Z8 $$x182396
000114993 937__ $$aGR-BUCHER-ARTICLE-2007-007
000114993 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000114993 980__ $$aARTICLE