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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2426

Title: Manageable Workflows for Processing Parallel Sequencing Data
Authors: Krachunov, Milko
Kulev, Ognyan
Simeonova, Valeriya
Nisheva, Maria
Vassilev, Dimitar
Keywords: Next-Generation Sequencing
Metagenomics
Workflow Design
Data Analysis
YAML
Issue Date: 2014
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 8, No 1, (2014), 1p-14p
Abstract: Data analysis after parallel sequencing is a process that uses combinations of software tools that is often subject to experimentation and on-the-fly substitution, with the necessary file conversion. This article presents a developing system for creating and managing workflows aiding the tasks one encounters after parallel sequences, particularly in the area of metagenomics. The semantics, description language and software implementation aim to allow the creation of flexible, configurable workflows that are suitable for sharing and are easy to manipulate through software or by hand. The execution system design provides user-defined operations and interchangeability between an operation and a workflow. This allows significant extensibility, which can be further complemented with distributed computing and remote management interfaces.
Description: ACM Computing Classification System (1998): D.2.11, D.1.3, D.3.1, J.3, C.2.4.
URI: http://hdl.handle.net/10525/2426
ISSN: 1312-6555
Appears in Collections:Volume 8 Number 1

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