4Pipe4 – A 454 data analysis pipeline for SNP detection in datasets with no reference sequence or strain information

BMC Bioinformatics

Software

Sofia G. Seabra¹  Octávio S. Paulo¹  Dora Batista²  Francisco Pina-Martins³  Bruno M. Vieira⁴ 

[1] Departamento de Biologia Animal, Faculdade de Ciências, Computational Biology and Population Genomics Group, cE3c - Centre for Ecology, Evolution and Environmental Changes, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal;Departamento de Biologia Animal, Faculdade de Ciências, Computational Biology and Population Genomics Group, cE3c - Centre for Ecology, Evolution and Environmental Changes, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal;Centro de Investigação das Ferrugens do Cafeeiro (CIFC), Instituto Superior de Agronomia (ISA), Universidade de Lisboa, Quinta do Marquês, 2784-505, Oeiras, Portugal;Departamento de Biologia Animal, Faculdade de Ciências, Computational Biology and Population Genomics Group, cE3c - Centre for Ecology, Evolution and Environmental Changes, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal;Departamento de Biologia e CESAM, Univ. de Aveiro, Aveiro, Portugal;Departamento de Biologia Animal, Faculdade de Ciências, Computational Biology and Population Genomics Group, cE3c - Centre for Ecology, Evolution and Environmental Changes, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal;Wurm Lab, School of Biological & Chemical Sciences, Queen Mary University of London, Mile End Road, E1 4NS, London, UK;

关键词: Genomics;    SNP detection;    Next generation sequencing;    454;    Pipeline;    EST;    Non model organisms;   

DOI  :  10.1186/s12859-016-0892-1

 received in 2015-03-31, accepted in 2016-01-15,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundNext-generation sequencing datasets are becoming more frequent, and their use in population studies is becoming widespread. For non-model species, without a reference genome, it is possible from a panel of individuals to identify a set of SNPs that can be used for further population genotyping. However the lack of a reference genome to which the sequenced data could be compared makes the finding of SNPs more troublesome. Additionally when the data sources (strains) are not identified (e.g. in datasets of pooled individuals), the problem of finding reliable variation in these datasets can become much more difficult due to the lack of specialized software for this specific task.ResultsHere we describe 4Pipe4, a 454 data analysis pipeline particularly focused on SNP detection when no reference or strain information is available. It uses a command line interface to automatically call other programs, parse their outputs and summarize the results. The variation detection routine is built-in in the program itself. Despite being optimized for SNP mining in 454 EST data, it is flexible enough to automate the analysis of genomic data or even data from other NGS technologies. 4Pipe4 will output several HTML formatted reports with metrics on many of the most common assembly values, as well as on all the variation found. There is also a module available for finding putative SSRs in the analysed datasets.ConclusionsThis program can be especially useful for researchers that have 454 datasets of a panel of pooled individuals and want to discover and characterize SNPs for subsequent individual genotyping with customized genotyping arrays. In comparison with other SNP detection approaches, 4Pipe4 showed the best validation ratio, retrieving a smaller number of SNPs but with a considerably lower false positive rate than other methods.4Pipe4’s source code is available at https://github.com/StuntsPT/4Pipe4.

【 授权许可】

CC BY   
© Pina-Martins et al. 2016