Cnidaria: fast, reference-free clustering of raw and assembled genome and transcriptome NGS data
Abstract
Background: Identification of biological specimens is a major requirement for a range of applications. Reference-free methods analyse unprocessed sequencing data without relying on prior knowledge, but generally do not scale to arbitrarily large genomes and arbitrarily large phylogenetic distances. Results: We present Cnidaria, a practical tool for clustering genomic and transcriptomic data with no limitation on genome size or phylogenetic distances. We successfully simultaneously clustered 169 genomic and transcriptomic datasets from 4 kingdoms, achieving 100% identification accuracy at supra-species level and 78% accuracy for species level. Discussion: CNIDARIA allows for fast, resource-efficient comparison and identification of both raw and assembled genome and transcriptome data. This can help answer both fundamental (e.g. in phylogeny, ecological diversity analysis) and practical questions (e.g. sequencing quality control, primer design).
Keywords
Cite
@article{arxiv.1511.05530,
title = {Cnidaria: fast, reference-free clustering of raw and assembled genome and transcriptome NGS data},
author = {Saulo Alves Aflitos and Edouard Severing and Gabino Sanchez-Perez and Sander Peters and Hans de Jong and Dick de Ridder},
journal= {arXiv preprint arXiv:1511.05530},
year = {2015}
}
Comments
47 pages, 13 figures