Fastbreak: a tool for analysis and visualization of structural variations in genomic data

Genomic studies are now being undertaken on thousands of samples requiring new computational tools that can rapidly analyze data to identify clinically important features. Inferring structural variations in cancer genomes from mate-paired reads is a combinatorially difficult problem. We introduce Fa...

Full description

Bibliographic Details
Main Authors:	Bressler, Ryan, Lin, Jake, Eakin, Andrea, Robinson, Thomas, Kreisberg, Richard, Rovira, Hector, Knijnenburg, Theo, Boyle, John, Shmulevich, Ilya
Format:	Online
Language:	English
Published:	BioMed Central 2012
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605143/

id	pubmed-3605143
recordtype	oai_dc
spelling	pubmed-36051432013-03-22 Fastbreak: a tool for analysis and visualization of structural variations in genomic data Bressler, Ryan Lin, Jake Eakin, Andrea Robinson, Thomas Kreisberg, Richard Rovira, Hector Knijnenburg, Theo Boyle, John Shmulevich, Ilya Research Genomic studies are now being undertaken on thousands of samples requiring new computational tools that can rapidly analyze data to identify clinically important features. Inferring structural variations in cancer genomes from mate-paired reads is a combinatorially difficult problem. We introduce Fastbreak, a fast and scalable toolkit that enables the analysis and visualization of large amounts of data from projects such as The Cancer Genome Atlas. BioMed Central 2012 2012-10-09 /pmc/articles/PMC3605143/ /pubmed/23046488 http://dx.doi.org/10.1186/1687-4153-2012-15 Text en Copyright ©2012 Bressler et al; licensee Springer. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Bressler, Ryan Lin, Jake Eakin, Andrea Robinson, Thomas Kreisberg, Richard Rovira, Hector Knijnenburg, Theo Boyle, John Shmulevich, Ilya
spellingShingle	Bressler, Ryan Lin, Jake Eakin, Andrea Robinson, Thomas Kreisberg, Richard Rovira, Hector Knijnenburg, Theo Boyle, John Shmulevich, Ilya Fastbreak: a tool for analysis and visualization of structural variations in genomic data
author_facet	Bressler, Ryan Lin, Jake Eakin, Andrea Robinson, Thomas Kreisberg, Richard Rovira, Hector Knijnenburg, Theo Boyle, John Shmulevich, Ilya
author_sort	Bressler, Ryan
title	Fastbreak: a tool for analysis and visualization of structural variations in genomic data
title_short	Fastbreak: a tool for analysis and visualization of structural variations in genomic data
title_full	Fastbreak: a tool for analysis and visualization of structural variations in genomic data
title_fullStr	Fastbreak: a tool for analysis and visualization of structural variations in genomic data
title_full_unstemmed	Fastbreak: a tool for analysis and visualization of structural variations in genomic data
title_sort	fastbreak: a tool for analysis and visualization of structural variations in genomic data
description	Genomic studies are now being undertaken on thousands of samples requiring new computational tools that can rapidly analyze data to identify clinically important features. Inferring structural variations in cancer genomes from mate-paired reads is a combinatorially difficult problem. We introduce Fastbreak, a fast and scalable toolkit that enables the analysis and visualization of large amounts of data from projects such as The Cancer Genome Atlas.
publisher	BioMed Central
publishDate	2012
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605143/
_version_	1611964482359132160

Fastbreak: a tool for analysis and visualization of structural variations in genomic data

Similar Items