Perl module and PISE wrappers for the integrated analysis of sequence data and SNP features

<p>Abstract</p> <p>Background</p> <p>There is a need for software scripts and modules for format parsing, data manipulation, statistical analysis and annotation especially for tasks related to marker identification from sequence data and sequence diversity analysis.<...

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Main Authors: Nayak Spurthi, Reddy P Srinivasa, Jami Anusha, BhanuPrakash A, Jayashree B, Varshney Rajeev K
Format: Article
Language:English
Published: BMC 2009-05-01
Series:BMC Research Notes
Online Access:http://www.biomedcentral.com/1756-0500/2/92
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author Nayak Spurthi
Reddy P Srinivasa
Jami Anusha
BhanuPrakash A
Jayashree B
Varshney Rajeev K
author_facet Nayak Spurthi
Reddy P Srinivasa
Jami Anusha
BhanuPrakash A
Jayashree B
Varshney Rajeev K
author_sort Nayak Spurthi
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>There is a need for software scripts and modules for format parsing, data manipulation, statistical analysis and annotation especially for tasks related to marker identification from sequence data and sequence diversity analysis.</p> <p>Results</p> <p>Here we present several new Perl scripts and a module for sequence data diversity analysis. To enable the use of these software with other public domain tools, we also make available PISE (Pasteur Institute Software Environment) wrappers for these Perl scripts and module. This enables the user to generate pipelines for automated analysis, since PISE is a web interface generator for bioinformatics programmes.</p> <p>Conclusion</p> <p>A new set of modules and scripts for diversity statistic calculation, format parsing and data manipulation are available with PISE wrappers that enable pipelining of these scripts with commonly used contig assembly and sequence feature prediction software, to answer specific sequence diversity related questions.</p>
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spelling doaj.art-9d884aeb38c544fc94005a4c79cad1ab2022-12-22T00:48:12ZengBMCBMC Research Notes1756-05002009-05-01219210.1186/1756-0500-2-92Perl module and PISE wrappers for the integrated analysis of sequence data and SNP featuresNayak SpurthiReddy P SrinivasaJami AnushaBhanuPrakash AJayashree BVarshney Rajeev K<p>Abstract</p> <p>Background</p> <p>There is a need for software scripts and modules for format parsing, data manipulation, statistical analysis and annotation especially for tasks related to marker identification from sequence data and sequence diversity analysis.</p> <p>Results</p> <p>Here we present several new Perl scripts and a module for sequence data diversity analysis. To enable the use of these software with other public domain tools, we also make available PISE (Pasteur Institute Software Environment) wrappers for these Perl scripts and module. This enables the user to generate pipelines for automated analysis, since PISE is a web interface generator for bioinformatics programmes.</p> <p>Conclusion</p> <p>A new set of modules and scripts for diversity statistic calculation, format parsing and data manipulation are available with PISE wrappers that enable pipelining of these scripts with commonly used contig assembly and sequence feature prediction software, to answer specific sequence diversity related questions.</p>http://www.biomedcentral.com/1756-0500/2/92
spellingShingle Nayak Spurthi
Reddy P Srinivasa
Jami Anusha
BhanuPrakash A
Jayashree B
Varshney Rajeev K
Perl module and PISE wrappers for the integrated analysis of sequence data and SNP features
BMC Research Notes
title Perl module and PISE wrappers for the integrated analysis of sequence data and SNP features
title_full Perl module and PISE wrappers for the integrated analysis of sequence data and SNP features
title_fullStr Perl module and PISE wrappers for the integrated analysis of sequence data and SNP features
title_full_unstemmed Perl module and PISE wrappers for the integrated analysis of sequence data and SNP features
title_short Perl module and PISE wrappers for the integrated analysis of sequence data and SNP features
title_sort perl module and pise wrappers for the integrated analysis of sequence data and snp features
url http://www.biomedcentral.com/1756-0500/2/92
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