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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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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. |
format | Text |
id | pubmed-2916924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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