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• W1835146852 abstract "Structural variations (SVs) play a crucial role in genetic diversity. However, the alignments of reads near/across SVs are made inaccurate by the presence of polymorphisms. BatAlign is an algorithm that integrated two strategies called 'Reverse-Alignment' and 'Deep-Scan' to improve the accuracy of read-alignment. In our experiments, BatAlign was able to obtain the highest F-measures in read-alignments on mismatch-aberrant, indel-aberrant, concordantly/discordantly paired and SV-spanning data sets. On real data, the alignments of BatAlign were able to recover 4.3% more PCR-validated SVs with 73.3% less callings. These suggest BatAlign to be effective in detecting SVs and other polymorphic-variants accurately using high-throughput data. BatAlign is publicly available at https://goo.gl/a6phxB." @default.
• W1835146852 created "2016-06-24" @default.
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• W1835146852 date "2015-07-13" @default.
• W1835146852 modified "2023-10-01" @default.
• W1835146852 title "BatAlign: an incremental method for accurate alignment of sequencing reads" @default.
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• W1835146852 doi "https://doi.org/10.1093/nar/gkv533" @default.
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