Protein Multiple Sequence Alignment Benchmarking through Secondary Structure Prediction
نویسندگان
چکیده
منابع مشابه
Protein multiple sequence alignment benchmarking through secondary structure prediction
Motivation Multiple sequence alignment (MSA) is commonly used to analyze sets of homologous protein or DNA sequences. This has lead to the development of many methods and packages for MSA over the past 30 years. Being able to compare different methods has been problematic and has relied on gold standard benchmark datasets of 'true' alignments or on MSA simulations. A number of protein benchmark...
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Sequence alignment methods are very e ective for secondary structure prediction. However, they are only applicable when the similarity of the sequences is high enough. We previously reported that the extended sequence alignment method, which uses not only amino acid letters but also strings of amino acid letters representing motifs as comparing units, enabled us to nd common motifs even among t...
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In molecular biology, sequence alignment is a fundamental but powerful technique. Biologists find the similarity, the difference and even the function of the input sequences (DNA, RNA and protein sequences) by it. With various purposes, there are many algorithms to align two sequences based on different criteria. Though there are various ways to align macromolecular sequences, a sequence alignm...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2017
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btw840