Manageable Workflows for Processing Parallel Sequencing Data

Krachunov, Milko, et al. "Manageable Workflows for Processing Parallel Sequencing Data." Serdica Journal of Computing 8.1 (2014): 1-14. <http://eudml.org/doc/268672>.

@article{Krachunov2014,
abstract = {ACM Computing Classification System (1998): D.2.11, D.1.3, D.3.1, J.3, C.2.4.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.},
author = {Krachunov, Milko, Kulev, Ognyan, Simeonova, Valeriya, Nisheva, Maria, Vassilev, Dimitar},
journal = {Serdica Journal of Computing},
keywords = {Next-Generation Sequencing; Metagenomics; Workflow Design; Data Analysis; YAML},
language = {eng},
number = {1},
pages = {1-14},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Manageable Workflows for Processing Parallel Sequencing Data},
url = {http://eudml.org/doc/268672},
volume = {8},
year = {2014},
}

TY - JOUR
AU - Krachunov, Milko
AU - Kulev, Ognyan
AU - Simeonova, Valeriya
AU - Nisheva, Maria
AU - Vassilev, Dimitar
TI - Manageable Workflows for Processing Parallel Sequencing Data
JO - Serdica Journal of Computing
PY - 2014
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 8
IS - 1
SP - 1
EP - 14
AB - ACM Computing Classification System (1998): D.2.11, D.1.3, D.3.1, J.3, C.2.4.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.
LA - eng
KW - Next-Generation Sequencing; Metagenomics; Workflow Design; Data Analysis; YAML
UR - http://eudml.org/doc/268672
ER -