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...

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Detalles Bibliográficos
Autores principales: Bressler, Ryan, Lin, Jake, Eakin, Andrea, Robinson, Thomas, Kreisberg, Richard, Rovira, Hector, Knijnenburg, Theo, Boyle, John, Shmulevich, Ilya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605143/
https://www.ncbi.nlm.nih.gov/pubmed/23046488
http://dx.doi.org/10.1186/1687-4153-2012-15
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author Bressler, Ryan
Lin, Jake
Eakin, Andrea
Robinson, Thomas
Kreisberg, Richard
Rovira, Hector
Knijnenburg, Theo
Boyle, John
Shmulevich, Ilya
author_facet Bressler, Ryan
Lin, Jake
Eakin, Andrea
Robinson, Thomas
Kreisberg, Richard
Rovira, Hector
Knijnenburg, Theo
Boyle, John
Shmulevich, Ilya
author_sort Bressler, Ryan
collection PubMed
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.
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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 EURASIP J Bioinform Syst Biol 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.
spellingShingle Research
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
title 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_short 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
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605143/
https://www.ncbi.nlm.nih.gov/pubmed/23046488
http://dx.doi.org/10.1186/1687-4153-2012-15
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