In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth data
نویسندگان
چکیده
منابع مشابه
In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth data
Four popular somatic single nucleotide variant (SNV) calling methods (Varscan, SomaticSniper, Strelka and MuTect2) were carefully evaluated on the real whole exome sequencing (WES, depth of ~50X) and ultra-deep targeted sequencing (UDT-Seq, depth of ~370X) data. The four tools returned poor consensus on candidates (only 20% of calls were with multiple hits by the callers). For both WES and UDT-...
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Next generation sequencing (NGS) has been leading the genetic study of human disease into an era of unprecedented productivity. Many bioinformatics pipelines have been developed to call variants from NGS data. The performance of these pipelines depends crucially on the variant caller used and on the calling strategies implemented. We studied the performance of four prevailing callers, SAMtools,...
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We have developed a targeted next generation sequencing (NGS) methodology for sensitive DNA variant detection that is highly optimized for clinical specimens and enables the accurate detection of clinically actionable mutations from low input DNA quantities. This strategy provides reliable, uniform, and high depth (>1000x) sequencing across gene regions representing >500 known cancerassociated ...
متن کاملTargeted High Depth Next Generation Sequencing of Tumor Specimens
We have developed a targeted next generation sequencing (NGS) methodology for sensitive DNA variant detection that is highly optimized for clinical specimens and enables the accurate detection of clinically actionable mutations from low input DNA quantities. This strategy provides reliable, uniform, and high depth (>1000x) sequencing across gene regions representing >500 known cancerassociated ...
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Background: Somatic mutation-calling based on DNA from matched tumor-normal patient samples is one of the key tasks carried by many cancer genome projects. One such large-scale project is The Cancer Genome Atlas (TCGA), which is now routinely compiling catalogs of somatic mutations from hundreds of paired tumor-normal DNA exome-sequence data. Nonetheless, mutation calling is still very challeng...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2016
ISSN: 2045-2322
DOI: 10.1038/srep36540