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Fluidigm2PURC: Automated processing and haplotype inference for double-barcoded PCR amplicons.

Paul D Blischak1, Maribeth Latvis2, Diego F Morales-Briones3

  • 1Department of Evolution, Ecology, and Organismal Biology The Ohio State University 318 W. 12th Avenue Columbus Ohio 43210-1242 USA.

Applications in Plant Sciences
|August 23, 2018
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Summary

This study introduces Fluidigm2PURC, a Python tool that automates DNA data processing for phylogenomic studies. It works with paired-end Illumina data to infer haplotypes for various ploidy levels, enhancing phylogenetic research efficiency.

Keywords:
bioinformaticshaplotype inferencehigh‐throughput sequencingmicrofluidic PCRphylogenomicspolyploidy

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Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Targeted enrichment strategies efficiently collect DNA sequence data for phylogenomic inference.
  • Automated and reproducible data processing is essential for phylogenetic studies.

Purpose of the Study:

  • To present Fluidigm2PURC, an open-source Python utility for processing paired-end Illumina data.
  • To enable automated and reproducible analysis of phylogenomic data.

Main Methods:

  • Developed Fluidigm2PURC, a Python utility for processing double-barcoded PCR amplicon data.
  • Integrated Fluidigm2PURC with the PURC (Pipeline for Untangling Reticulate Complexes) program.
  • Processed raw FASTQ files for PURC analysis and inferred haplotypes for various ploidy levels.

Main Results:

  • Fluidigm2PURC successfully processes paired-end Illumina data.
  • The pipeline infers haplotypes for diploids, polyploids, and samples with unknown ploidy.
  • Demonstrated utility with a dataset from the genus Thalictrum (Ranunculaceae).

Conclusions:

  • Fluidigm2PURC is freely available on GitHub for Unix-like systems.
  • The utility is also accessible via Docker for all operating systems.
  • Fluidigm2PURC facilitates efficient and reproducible phylogenomic data analysis.