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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-07-14

AUTHORS

David B Burdick, Chris C Cavnor, Jeremy Handcock, Sarah Killcoyne, Jake Lin, Bruz Marzolf, Stephen A Ramsey, Hector Rovira, Ryan Bressler, Ilya Shmulevich, John Boyle

ABSTRACT

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. More... »

PAGES

377-377

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2105-11-377

DOI

http://dx.doi.org/10.1186/1471-2105-11-377

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010428956

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20630057


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