Python code for versatile k-mer counter and diversity estimator for database independent property analysis (DIPA) obtained from metagenomic and/or metatranscriptomic sequencing dataMerCat (“ Mer - Cat - enate”) is a parallel, highly scalable and modular property software package for robust analysis of features in next-generation sequencing data. Using assembled contigs and raw sequence reads from any platform as input, MerCat performs k-mer counting of any length k, resulting in feature abundance counts tables. MerCat allows for direct analysis of data properties without reference sequence database dependency commonly used by search tools such as BLAST for compositional analysis of whole community shotgun sequencing (e.g., metagenomes and metatranscriptomes)
comprehensive infrastructure for assembly,annotation, and genomic binning of metagenomic and metatranscriptomic data
ATLAS (Automatic Tool for Local Assembly Structures) is a comprehensive multi-omics data analysis pipeline that is massively parallel and scalable. ATLAS contains a modular analysis pipeline for assembly, annotation, quantification and genome binning of metagenomics and metatranscriptomics data and a framework for reference metaproteomic database construction. ATLAS transforms raw sequence data into functional and taxonomic data at the microbial population level and provides genome-centric resolution through genome binning. ATLAS provides robust taxonomy based on majority voting of protein-coding open reading frames (ORFs) rolled-up at the contig level using modified lowest common ancestor (LCA) analysis. ATLAS is user-friendly, easy install through bioconda maintained as open-source on GitHub.