Savant: genome browser for high-throughput sequencing data
Open Access
- 20 June 2010
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 26 (16) , 1938-1944
- https://doi.org/10.1093/bioinformatics/btq332
Abstract
Motivation: The advent of high-throughput sequencing (HTS) technologies has made it affordable to sequence many individuals' genomes. Simultaneously the computational analysis of the large volumes of data generated by the new sequencing machines remains a challenge. While a plethora of tools are available to map the resulting reads to a reference genome, and to conduct primary analysis of the mappings, it is often necessary to visually examine the results and underlying data to confirm predictions and understand the functional effects, especially in the context of other datasets. Results: We introduce Savant, the Sequence Annotation, Visualization and ANalysis Tool, a desktop visualization and analysis browser for genomic data. Savant was developed for visualizing and analyzing HTS data, with special care taken to enable dynamic visualization in the presence of gigabases of genomic reads and references the size of the human genome. Savant supports the visualization of genome-based sequence, point, interval and continuous datasets, and multiple visualization modes that enable easy identification of genomic variants (including single nucleotide polymorphisms, structural and copy number variants), and functional genomic information (e.g. peaks in ChIP-seq data) in the context of genomic annotations. Availability: Savant is freely available at http://compbio.cs.toronto.edu/savant Contact:savant@cs.toronto.eduKeywords
This publication has 18 references indexed in Scilit:
- The 1000 Genomes Project: new opportunities for research and social challengesGenome Medicine, 2010
- Tablet—next generation sequence assembly visualizationBioinformatics, 2009
- Computation for ChIP-seq and RNA-seq studiesNature Methods, 2009
- The Sequence Alignment/Map format and SAMtoolsBioinformatics, 2009
- Combinatorial algorithms for structural variation detection in high-throughput sequenced genomesGenome Research, 2009
- High-resolution mapping of copy-number alterations with massively parallel sequencingNature Methods, 2008
- Ensembl 2009Nucleic Acids Research, 2008
- Accurate whole human genome sequencing using reversible terminator chemistryNature, 2008
- Mapping short DNA sequencing reads and calling variants using mapping quality scoresGenome Research, 2008
- The Human Genome Browser at UCSCGenome Research, 2002