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SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments

BACKGROUND: High throughput sequencing has become an increasingly important tool for biological research. However, the existing software systems for managing and processing these data have not provided the flexible infrastructure that research requires. RESULTS: Existing software solutions provide s...

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Autores principales: Burdick, David B, Cavnor, Chris C, Handcock, Jeremy, Killcoyne, Sarah, Lin, Jake, Marzolf, Bruz, Ramsey, Stephen A, Rovira, Hector, Bressler, Ryan, Shmulevich, Ilya, Boyle, John
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2916924/
https://www.ncbi.nlm.nih.gov/pubmed/20630057
http://dx.doi.org/10.1186/1471-2105-11-377
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author Burdick, David B
Cavnor, Chris C
Handcock, Jeremy
Killcoyne, Sarah
Lin, Jake
Marzolf, Bruz
Ramsey, Stephen A
Rovira, Hector
Bressler, Ryan
Shmulevich, Ilya
Boyle, John
author_facet Burdick, David B
Cavnor, Chris C
Handcock, Jeremy
Killcoyne, Sarah
Lin, Jake
Marzolf, Bruz
Ramsey, Stephen A
Rovira, Hector
Bressler, Ryan
Shmulevich, Ilya
Boyle, John
author_sort Burdick, David B
collection PubMed
description BACKGROUND: High throughput sequencing has become an increasingly important tool for biological research. However, the existing software systems for managing and processing these data have not provided the flexible infrastructure that research requires. RESULTS: Existing software solutions provide static and well-established algorithms in a restrictive package. However as high throughput sequencing is a rapidly evolving field, such static approaches lack the ability to readily adopt the latest advances and techniques which are often required by researchers. We have used a loosely coupled, service-oriented infrastructure to develop SeqAdapt. This system streamlines data management and allows for rapid integration of novel algorithms. Our approach also allows computational biologists to focus on developing and applying new methods instead of writing boilerplate infrastructure code. CONCLUSION: The system is based around the Addama service architecture and is available at our website as a demonstration web application, an installable single download and as a collection of individual customizable services.
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spelling pubmed-29169242010-08-06 SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments Burdick, David B Cavnor, Chris C Handcock, Jeremy Killcoyne, Sarah Lin, Jake Marzolf, Bruz Ramsey, Stephen A Rovira, Hector Bressler, Ryan Shmulevich, Ilya Boyle, John BMC Bioinformatics Software BACKGROUND: High throughput sequencing has become an increasingly important tool for biological research. However, the existing software systems for managing and processing these data have not provided the flexible infrastructure that research requires. RESULTS: Existing software solutions provide static and well-established algorithms in a restrictive package. However as high throughput sequencing is a rapidly evolving field, such static approaches lack the ability to readily adopt the latest advances and techniques which are often required by researchers. We have used a loosely coupled, service-oriented infrastructure to develop SeqAdapt. This system streamlines data management and allows for rapid integration of novel algorithms. Our approach also allows computational biologists to focus on developing and applying new methods instead of writing boilerplate infrastructure code. CONCLUSION: The system is based around the Addama service architecture and is available at our website as a demonstration web application, an installable single download and as a collection of individual customizable services. BioMed Central 2010-07-14 /pmc/articles/PMC2916924/ /pubmed/20630057 http://dx.doi.org/10.1186/1471-2105-11-377 Text en Copyright ©2010 Burdick et al; licensee BioMed Central Ltd. 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 Software
Burdick, David B
Cavnor, Chris C
Handcock, Jeremy
Killcoyne, Sarah
Lin, Jake
Marzolf, Bruz
Ramsey, Stephen A
Rovira, Hector
Bressler, Ryan
Shmulevich, Ilya
Boyle, John
SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments
title SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments
title_full SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments
title_fullStr SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments
title_full_unstemmed SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments
title_short SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments
title_sort seqadapt: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2916924/
https://www.ncbi.nlm.nih.gov/pubmed/20630057
http://dx.doi.org/10.1186/1471-2105-11-377
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