Predicting Shine–Dalgarno Sequence Locations Exposes Genome Annotation Errors
نویسندگان
چکیده
منابع مشابه
Predicting Shine–Dalgarno Sequence Locations Exposes Genome Annotation Errors
In prokaryotes, Shine-Dalgarno (SD) sequences, nucleotides upstream from start codons on messenger RNAs (mRNAs) that are complementary to ribosomal RNA (rRNA), facilitate the initiation of protein synthesis. The location of SD sequences relative to start codons and the stability of the hybridization between the mRNA and the rRNA correlate with the rate of synthesis. Thus, accurate characterizat...
متن کاملErrors in genome annotation.
A t the time that Watson and Crick proposed a structure for DNA, a visionary might have suggested that the complete genetic sequence of an organism would eventually be known. However, nobody could have realistically proposed that machines could automatically indicate gene functions. Yet precisely this has been achieved: with no laboratory experiments at all, the roles of most genes in several o...
متن کاملAutomated genome sequence analysis and annotation
MOTIVATION Large-scale genome projects generate a rapidly increasing number of sequences, most of them biochemically uncharacterized. Research in bioinformatics contributes to the development of methods for the computational characterization of these sequences. However, the installation and application of these methods require experience and are time consuming. RESULTS We present here an auto...
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By using information from an assembly of a genome, a new program called AutoEditor significantly improves base calling accuracy over that achieved by previous algorithms. This in turn improves the overall accuracy of genome sequences and facilitates the use of these sequences for polymorphism discovery. We describe the algorithm and its application in a large set of recent genome sequencing pro...
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Five hundred millions of tweets are posted daily, making Twitter a major social media from which topical information on events can be extracted. Events are represented by time, location and entityrelated information. This paper focuses on location which is an important clue for both users and geo-spatial applications. We address the problem of predicting whether a tweet contains a location or n...
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ژورنال
عنوان ژورنال: PLoS Computational Biology
سال: 2006
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.0020057