GigaScienceBioinformaticsPeer-reviewed journal article
SeQuiLa-cov: A fast and scalable library for depth of coverage calculations
Marek S. WiewiórkaiD, Agnieszka SzmurłoiD, Wiktor KuśmirekiD, Tomasz GambiniD
Abstract
BackgroundDepth of coverage calculation is an important and computationally intensive preprocessing step in a variety of next generation sequencing pipelines, including the analyses of RNA-seq data, detection of copy number variants, or quality control procedures.\n\nResultsBuilding upon big data technologies, we have developed SeQuiLa-cov, an extension to the recently released SeQuiLa platform, which provides efficient depth of coverage calculations, reaching more than 100x speedup over the state-of-the-art tools. Performance and scalability of our solution allows for exome and genome-wide calculations running locally or on a cluster while hiding the complexity of the distributed computing with Structured Query Language Application Programming Interface.\n\nConclusionsSeQuiLa-cov provides significant performance gain in depth of coverage calculations streamlining the widely used bioinformatic processing pipelines.
- assay: whole-genome sequencing
- assay: whole-exome sequencing
- research focus: variant calling
- research focus: software / tool
- research focus: benchmarking
- approach: experimental assay
- Citations
- 23
- FWCI
- 1.74
- Field percentile
- top 15%
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