2011
DOI: 10.1093/bioinformatics/btr174
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BamTools: a C++ API and toolkit for analyzing and managing BAM files

Abstract: BamTools was written in C++, and is supported on Linux, Mac OSX and MS Windows. Source code and documentation are freely available at http://github.org/pezmaster31/bamtools.

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Cited by 892 publications
(701 citation statements)
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“…Indel detection was disabled, and only unique alignments were reported using the -g option; all other options were set to default. BAMTools (v 1.0.2) (Barnett et al, 2011) was used to calculate mapping result statistics. The BAM file for each sample was sorted by leftmost coordinates using the SAMTools sort function (v 0.1.12a) (Li et al, 2009).…”
Section: Identification Of Snps In Rna-seq Datamentioning
confidence: 99%
“…Indel detection was disabled, and only unique alignments were reported using the -g option; all other options were set to default. BAMTools (v 1.0.2) (Barnett et al, 2011) was used to calculate mapping result statistics. The BAM file for each sample was sorted by leftmost coordinates using the SAMTools sort function (v 0.1.12a) (Li et al, 2009).…”
Section: Identification Of Snps In Rna-seq Datamentioning
confidence: 99%
“…Reads that were mapped to multiple positions were filtered out by Bamtools (Barnett et al, 2011). The Cuffdiff software (2.1.0) (Trapnell et al, 2010) was used to quantify the raw read count in each gene, using the version 5a gene annotation (working set genes) provided by the maize genome sequencing project .…”
Section: Bioinformaticsmentioning
confidence: 99%
“…For RNA-seq, reads were mapped onto the hg19 genome and exon-exon junctions by splice-aware aligner Tophat [47], using the known gene model annotation from Ensembl release 62. Reads with an unmapped mate or multi-mapped location were filtered out using Bamtools [48] and PCR or sequencing optical duplicates were marked and removed by Picard [49]. Using NCBI dbSNP build 132, multiple sequence local realignment around InDels and base quality recalibration was performed by GATK (The Genome Analysis Toolkit) [50] to correct likely misalignments.…”
Section: Sequence Data Mapping and Processingmentioning
confidence: 99%