SePIA: RNA and small RNA sequence processing, integration, and analysis. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- SePIA: RNA and small RNA sequence processing, integration, and analysis. Issue 1 (December 2016)
- Main Title:
- SePIA: RNA and small RNA sequence processing, integration, and analysis
- Authors:
- Icay, Katherine
Chen, Ping
Cervera, Alejandra
Rantanen, Ville
Lehtonen, Rainer
Hautaniemi, Sampsa - Abstract:
- Abstract Background Large-scale sequencing experiments are complex and require a wide spectrum of computational tools to extract and interpret relevant biological information. This is especially true in projects where individual processing and integrated analysis of both small RNA and complementary RNA data is needed. Such studies would benefit from a computational workflow that is easy to implement and standardizes the processing and analysis of both sequenced data types. Results We developed SePIA (Sequence Processing, Integration, and Analysis), a comprehensive small RNA and RNA workflow. It provides ready execution for over 20 commonly known RNA-seq tools on top of an established workflow engine and provides dynamic pipeline architecture to manage, individually analyze, and integrate both small RNA and RNA data. Implementation with Docker makes SePIA portable and easy to run. We demonstrate the workflow's extensive utility with two case studies involving three breast cancer datasets. SePIA is straightforward to configure and organizes results into a perusable HTML report. Furthermore, the underlying pipeline engine supports computational resource management for optimal performance. Conclusion SePIA is an open-source workflow introducing standardized processing and analysis of RNA and small RNA data. SePIA's modular design enables robust customization to a given experiment while maintaining overall workflow structure. It is available athttp://anduril.org/sepia .
- Is Part Of:
- Biodata mining. Volume 9:Issue 1(2016)
- Journal:
- Biodata mining
- Issue:
- Volume 9:Issue 1(2016)
- Issue Display:
- Volume 9, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 9
- Issue:
- 1
- Issue Sort Value:
- 2016-0009-0001-0000
- Page Start:
- 1
- Page End:
- 18
- Publication Date:
- 2016-12
- Subjects:
- Sequencing -- Integration -- miRNA -- totalRNA -- RNA -- Breast cancer
Bioinformatics -- Periodicals
Computational biology -- Periodicals
Data mining -- Periodicals
570.285 - Journal URLs:
- http://www.biodatamining.org/ ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s13040-016-0099-z ↗
- Languages:
- English
- ISSNs:
- 1756-0381
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9879.xml