Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33853
Title: POSA: Perl objects for DNA sequencing data analysis
Authors: AERTS, Jan 
Jungerius, BJ
Groenen, MA
Issue Date: 2004
Publisher: BIOMED CENTRAL LTD
Source: BMC GENOMICS, 5 (1) (Art N° 60)
Abstract: Background: Capillary DNA sequencing machines allow the generation of vast amounts of data with little hands-on time. With this expansion of data generation, there is a growing need for automated data processing. Most available software solutions, however, still require user intervention or provide modules that need advanced informatics skills to allow implementation in pipelines.Results: Here we present POSA, a pair of new perl objects that describe DNA sequence traces and Phrap contig assemblies in detail. Methods included in POSA include basecalling with quality scores ( by Phred), contig assembly ( by Phrap), generation of primer3 input and automated SNP annotation ( by PolyPhred). Although easily implemented by users with only limited programming experience, these objects considerabily reduce hands-on analysis time compared to using the Staden package for extracting sequence information from raw sequencing files and for SNP discovery.Conclusions: The POSA objects allow a flexible and easy design, implementation and usage of perl-based pipelines to handle and analyze DNA sequencing data, while requiring only minor programming skills.
Document URI: http://hdl.handle.net/1942/33853
ISSN: 1471-2164
e-ISSN: 1471-2164
DOI: 10.1186/1471-2164-5-60
ISI #: WOS:000223920100001
Rights: 2004 Aerts et al; licensee BioMed Central Ltd. 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.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

Show full item record

WEB OF SCIENCETM
Citations

6
checked on May 8, 2024

Page view(s)

28
checked on Jul 28, 2023

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.