Bioinformatics AdvancesBioinformaticsPeer-reviewed journal article
MerCat2: a versatile k-mer counter and diversity estimator for database-independent property analysis obtained from omics data
Jose L. Figueroa, Andrew Redinbo, Ajay PanyalaiD, Sean ColbyiD, Maren FrieseniD, Lisa K. TiemanniD, Richard Allen White IIIiD
Abstract
SummaryMerCat2 ("Mer - Catenate2") is a versatile, parallel, scalable and modular property software package for robustly analyzing features in omics data. Using massively parallel sequencing raw reads, assembled contigs, and protein sequences from any platform as input, MerCat2 performs k-mer counting of any length k, resulting in feature abundance counts tables, quality control reports, protein feature metrics, ecological diversity metrics, and graphical representation (i.e., PCA). MerCat2 allows for direct analysis of data properties in a database-independent manner that initializes all data, which other profilers and assembly-based methods cannot perform. MerCat2 represents an integrated tool to illuminate omics data within a sample for rapid cross-examination and comparisons. Availability and implementationMerCat2 is written in Python and distributed under a BSD-3 license. The source code of MerCat2 is freely available at https://github.com/raw-lab/mercat2. MerCat2 is compatible with Python 3 on Mac OS X and Linux. MerCat2 can also be easily installed using bioconda: conda install MerCat2. ContactRichard Allen White III, UNC Charlotte, rwhit101@uncc.edu Supplementary informationSupplementary data are available online.
- assay: whole-genome sequencing
- assay: protein sequence
- research focus: benchmarking
- research focus: database / resource
- research focus: software / tool
- approach: statistical model
- Citations
- 8
- FWCI
- 0.95
- Field percentile
- top 29%
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