memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping
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Updated
Mar 11, 2024 - C++
memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping
Fast in-silico normalization algorithm for NGS data
Fast sequence vectorization for metagenomics analysis. Converts input sequences into oligonucleotide frequency vectors, fast!
KOMB is a tool for fast identification of unitigs of interest in metagenomes. KOMB introduces the concept of a Hybrid Unitig Graph (an extension to compacted de Bruijn graphs) and relies on k-core and K-truss decomposition algorithms.
A graphical user interface for a genomic contamination filtering pipeline to filter out reads from metagenomic files
Accurate taxonomic classification and abundance profiling using locality-sensitive hashing.
Fast sequence vectorization for metagenomics analysis. Converts input sequences into k-mer coverage vectors, fast! Read more detail in our paperhttps://doi.org/10.1093/bioinformatics/btaa441
Common bioinformatic tools in C/C++
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