SeQuiLa

SeQuiLa computes depth of coverage from next-generation sequencing (NGS) data to support analyses such as RNA-sequencing, copy number variant detection, and sequencing quality control.


Key Features:

  • Depth of coverage computation: Performs depth of coverage calculations for NGS data as a core function.
  • Scalability and performance: Reports over 100 times speedup compared to existing state-of-the-art tools for coverage computation.
  • Big data technologies: Built on big data technologies to enable large-scale data processing.
  • Structured Query Language API: Exposes a Structured Query Language (SQL) API for expressing coverage computations.
  • SeQuiLa platform integration: Implemented as an extension to the SeQuiLa platform.
  • Exome and genome support: Supports exome- and genome-wide coverage calculations.
  • Distributed computing: Operates on distributed computing clusters and local environments for parallelized processing.
  • NGS preprocessing optimization: Targets the computationally demanding preprocessing step of depth of coverage within NGS workflows.

Scientific Applications:

  • RNA-sequencing analysis: Enables coverage-based analyses in RNA-sequencing workflows.
  • Copy number variant detection: Supports coverage calculations used for copy number variant (CNV) detection.
  • Sequencing quality control: Provides coverage metrics for sequencing quality control procedures.
  • Exome and genome analyses: Facilitates exome- and genome-wide coverage assessments for genomic studies.

Methodology:

Implemented as an extension to the SeQuiLa platform using big data technologies and a Structured Query Language (SQL) API to perform distributed depth of coverage calculations on NGS data.

Topics

Details

Added:
11/14/2019
Last Updated:
5/16/2021

Operations

Publications

Wiewiórka M, Szmurło A, Kuśmirek W, Gambin T. SeQuiLa-cov: A fast and scalable library for depth of coverage calculations. GigaScience. 2019;8(8). doi:10.1093/gigascience/giz094. PMID:31378808. PMCID:PMC6680061.

PMID: 31378808
PMCID: PMC6680061
Funding: - Iuventus Plus: IP2015 019874 - Polish National Science Center grant Preludium: 2014/13/N/ST6/01843

Documentation

Links