Татьяна Евгеньевна Дворкина - Speaker
Дмитрий Юрьевич Антипов - Speaker
Антон Иванович Коробейников - Speaker
Сергей Юрьевич Нурк - Speaker
Draft genome assemblies are commonly represented by assembly graphs. Tools for accurately aligning nucleotide and amino-acid sequences onto such graphs can facilitate hybrid assembly, read error correction, analysis of hypervariable genes, reconstruction of complex multi-domain genes and haplotype separation. At the same time, currently available solution, such as vg, GraphAligner, TAG, have significant limitations. Here, we present GAligner (GA) — a general purpose tool for local alignment of DNA sequences onto assembly graphs. In particular, GAligner is able to accurately map long erroneous sequences (e.g. single-molecule sequencing reads). We comprehensively benchmark GA using different datasets and sequencing technologies and show that it produces accurate alignments on assembly graphs of varying complexity.
16 Jul 2018 → 19 Jul 2018
Title | Bioinformatics: from Algorithms to Applications |
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Abbrev. Title | BiATA |
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Period | 16/07/18 → 19/07/18 |
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Web address (URL) | |
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Location | СПбГУ |
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City | Санкт-Петербург |
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Country/Territory | Russian Federation |
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Degree of recognition | International event |
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