Gene prediction by multiple syntenic alignment
نویسندگان
چکیده
منابع مشابه
Gene prediction by multiple syntenic alignment
Given the increasing number of available genomic sequences, one now faces the task of identifying their functional parts, like the protein coding regions. The gene prediction problem can be addressed in several ways. One of the most promising methods makes use of similarity information between the genomic DNA and previously annotated sequences (proteins, cDNAs and ESTs). Recently, given the hug...
متن کاملGene Prediction by Syntenic Alignment
Abstract. Given the number of available genomic DNA, one now faces the task of identifying the functional parts of such raw sequence data, like the protein-coding regions. The gene prediction problem can be addressed in several ways. The most recently methods make use of the similarities between regions of two unannotated genomic sequences in order to find their genes. In this paper we present ...
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We describe a multiple alignment program named MAP2 based on a generalized pairwise global alignment algorithm for handling long, different intergenic and intragenic regions in genomic sequences. The MAP2 program produces an ordered list of local multiple alignments of similar regions among sequences, where different regions between local alignments are indicated by reporting only similar regio...
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Context prediction is the approach to provide applications with information about future contexts. Some work has already been done on predicting future contexts based on the observed context history. The observed context timeline is analysed for typical patterns in the context history. Based on this knowledge the most probable future contexts are forecast. The authors of [1] and [2] study predi...
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ژورنال
عنوان ژورنال: Journal of Integrative Bioinformatics
سال: 2005
ISSN: 1613-4516
DOI: 10.1515/jib-2005-13