SISRS

SISRS identifies and selects phylogenetically informative genomic regions directly from next-generation whole-genome shotgun sequencing reads to enable phylogenetic inference without de novo genome assembly, multiple-genome alignment, or a reference genome.


Key Features:

  • Reference-Free Analysis: Processes raw sequencing reads without requiring a reference genome, de novo whole-genome assembly, or multiple-genome alignment.
  • Efficient Identification of Phylogenetically Informative Loci: Identifies numerous loci containing variable sites with phylogenetic signal from large-scale datasets, enabling marker discovery directly from reads.
  • Application in Diverse Taxonomic Groups: Has been applied to apes and to placental mammals to identify thousands of variable sites used for phylogeny reconstruction.
  • Robustness in Handling Missing Data: Produces reliable phylogenies across datasets with varying levels of missing data and recovered eight distinct phylogenies resolving basal relationships among mammals.

Scientific Applications:

  • Phylogenetic reconstruction from whole-genome shotgun data: Provides loci and variable sites directly from whole-genome shotgun sequence data for phylogenetic analyses.
  • Estimation of mammalian relationships: Has been used to estimate placental mammal phylogeny and resolve basal mammalian relationships.
  • Evolutionary studies across diverse taxa: Supports evolutionary biology research across diverse taxa where traditional marker development is impractical.

Methodology:

Simultaneous identification and selection of genomic regions with phylogenetic signal directly from next-generation sequencing reads by processing raw whole-genome shotgun reads without de novo assembly, multiple-genome alignment, or a reference genome.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Python
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Schwartz RS, Harkins KM, Stone AC, Cartwright RA. A composite genome approach to identify phylogenetically informative data from next-generation sequencing. BMC Bioinformatics. 2015;16(1). doi:10.1186/s12859-015-0632-y. PMID:26062548. PMCID:PMC4464851.

Documentation

Links