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Peter J. A. Cock

Publications and source records attributed to Peter J. A. Cock.

2 recordsLinked to original sources

SAM/BAM format v1.5 extensions for de novo assemblies

SummaryThe plain text Sequence Alignment/Map (SAM) file format and its companion binary form (BAM) are a generic alignment format for storing read alignments against reference sequences (and unmapped reads) together with structured meta-data (Li et al., 2009). Driven by the needs of the 1000 Genomes Project which sequenced many individual human genomes, early SAM/BAM usage focused on pairwise alignments of reads to a reference. However, through the CIGAR P operator multiple sequence alignments can also be preserved. Herein we describe clarifications and additions in version 1.5 of the specification to facilitate storing de novo sequence alignments: Padded reference sequences (with gap characters), annotation of reads or regions of the reference, and the option of embedding the reference sequence within the file.\n\nAvailabilityThe latest public release of the specification is at http://samtools.sourceforge.net/SAM1.pdf, with in development drafts at https://github.com/samtools/hts-specs/ under version control.\n\nContactpeter.cock@hutton.ac.uk

Bioinformatics

NCBI BLAST+ integrated into Galaxy

BackgroundThe NCBI BLAST suite has become ubiquitous in modern molecular biology, used for small tasks like checking capillary sequencing results of single PCR products through to genome annotation or even larger scale pan-genome analyses. For early adopters of the Galaxy web-based biomedical data analysis platform, integrating BLAST was a natural step for sequence comparison workflows.\n\nFindingsThe command line NCBI BLAST+ tool suite was wrapped for use within Galaxy, defining appropriate datatypes as needed, with the goal of making common BLAST tasks easy, and advanced tasks possible.\n\nConclusionsThis effort has been come an informal international collaborative effort, and is deployed and used on Galaxy servers worldwide. Several example use-cases are described herein.

Bioinformatics