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HybPiper: Extracting coding sequence and introns for phylogenetics from high-throughput sequencing reads using target
Matthew G Johnson1, Elliot M Gardner2, Yang Liu3
1Chicago Botanic Garden, 1000 Lake Cook Road, Glencoe, Illinois 60022 USA.
Applications in Plant Sciences
|July 21, 2016
Summary
HybPiper is a user-friendly bioinformatics platform that simplifies the assembly of gene regions from target enrichment sequencing data. It efficiently extracts exon and intron sequences and identifies paralogous genes, aiding phylogenetic analysis.
Area of Science:
- Bioinformatics
- Phylogenetics
- Genomics
Background:
- Target enrichment sequencing generates high-throughput reads requiring reassembly into loci for phylogenetic analysis.
- Bioinformatics challenges exist in assembling these reads into accurate gene regions.
- Efficient assembly is crucial for robust phylogenetic studies.
Purpose of the Study:
- To develop a user-friendly platform, HybPiper, for assembling gene regions from target enrichment data.
- To enable extraction of exon and intron sequences.
- To facilitate the identification of paralogous gene copies.
Main Methods:
- HybPiper employs a three-phase parallel execution pipeline: read mapping, contig assembly, and target sequence extraction.
- The platform was tested using baits for 333 phylogenetic markers and 125 functional genes in Artocarpus.
- Tested on 22 species within the Artocarpus genus.
Main Results:
- HybPiper successfully recovered nearly complete gene sequences for all targeted genes across 22 Artocarpus species.
- The pipeline recovered over 500 bp of non-targeted intron sequence for more than half of the phylogenetic markers.
- Paralogous gene copies were effectively identified within the Artocarpus dataset.
Conclusions:
- HybPiper provides a robust solution for assembling gene regions and extracting sequence data for phylogenetic studies.
- The platform is designed for Linux and Mac OS X operating systems.
- HybPiper is freely available for download, promoting wider adoption in the research community.
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