Performance of genetic programming optimised Bowtie2 on genome comparison and analytic testing (GCAT) benchmarks

Background Genetic studies are increasingly based on short noisy next generation scanners. Typically complete DNA sequences are assembled by matching short NextGen sequences against reference genomes. Despite considerable algorithmic gains since the turn of the millennium, matching both single ended...

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Vydáno v:	BioData mining Ročník 8; číslo 1; s. 1
Hlavní autor:	Langdon, W B
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 08.01.2015 BioMed Central Ltd
Témata:	Algorithms Benchmarks Bioinformatics Biomedical and Life Sciences Comparative analysis Computational Biology/Bioinformatics Computer Appl. in Life Sciences Data Mining and Knowledge Discovery Deoxyribonucleic acid DNA sequencing Gene sequencing Genetic algorithms Genomes Genomics Life Sciences Matching Methods Nucleotide sequencing Scanners Short Report Technology application High throughput Solexa 454 nextgen NGS sequence query Rapid fuzzy string matching Double-ended DNA sequence Homo sapiens genome reference consortium HG19
ISSN:	1756-0381, 1756-0381
On-line přístup:	Získat plný text
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