SECAPR
SECAPR processes raw sequencing reads from sequence capture (target/hybrid enrichment) and Massive Parallel Sequencing (MPS) platforms into multiple sequence alignments for phylogenetic and phylogeographic analyses.
Key Features:
- Targeted sequence capture processing: Designed to process sequence capture (target/hybrid enrichment) datasets commonly generated from non-model organisms.
- Raw reads to alignments: Transforms raw sequencing reads into multiple sequence alignments suitable for downstream phylogenetic analyses.
- Quality control and plotting: Implements quality-control steps and plotting functions to assess data quality and inform parameter selection.
- Parallel processing: Supports simultaneous processing of multiple samples to increase throughput on large datasets.
- Reproducible workflow: Provides an automated workflow aimed at reproducible handling and analysis of large-scale sequencing datasets.
- Empirical demonstration: Applied to sequence capture data from the palm genus Geonoma (Arecaceae) as an empirical example.
Scientific Applications:
- Phylogenetic inference: Produces multiple sequence alignments for use in phylogenetic tree reconstruction and related evolutionary analyses.
- Phylogeography and population studies: Enables generation of aligned loci for phylogeographic and population-level investigations using sequence capture data.
Methodology:
Automates the transformation of raw sequencing reads into aligned sequences, incorporates quality-control steps, and supports parallel processing of multiple samples for sequence capture/MPS datasets.
Topics
Details
- License:
- MIT
- Programming Languages:
- Python
- Added:
- 1/9/2020
- Last Updated:
- 12/18/2020
Operations
Publications
Andermann T, Cano A, Zizka A, Bacon C, Antonelli A. SECAPR - A bioinformatics pipeline for the rapid and user-friendly processing of Illumina sequences, from raw reads to alignments. Unknown Journal. 2018. doi:10.7287/peerj.preprints.26477v3.
Andermann T, Cano A, Zizka A, Bacon C, Antonelli A. SECAPR - A bioinformatics pipeline for the rapid and user-friendly alignment of hybrid enrichment sequences, from raw reads to alignments. Unknown Journal. 2018. doi:10.7287/peerj.preprints.26477v2.