Fast and sensitive taxonomic classification for metagenomics
Quantifying abundances of transcripts from RNA-Seq data, or more generally of target sequences using high-throughput sequencing reads.
KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts
Deep Learning for Python
`Kinship-based INference for Gwas (KING) is a toolset that makes use of high-throughput SNP data typically seen in a genome-wide association study <http://people.virginia.edu/~wc9c/KING/>`_
Jellyfish is a tool for fast, memory-efficient counting of k-mers in DNA. A k-mer is a substring of length k, and counting the occurrences of all such substrings is a central step in many analyses of DNA sequence
Kodoja: identifying viruses from plant RNA sequencing data
KofamKOALA assigns K numbers to the user's sequence data by HMMER/HMMSEARCH against KOfam
Kraken is a system for assigning taxonomic labels to short DNA sequences, usually obtained through metagenomic studies.
Kraken2 is a system for assigning taxonomic labels to short DNA sequences, usually obtained through metagenomic studies.
KrakenTools is a suite of scripts to be used for post-analysis of Kraken/KrakenUniq/Kraken2/Bracken results. Please cite the relevant paper if using KrakenTools with any of the listed programs.
Metagenomics classifier with unique k-mer counting for more specific results
Krona Tools is a set of scripts to create Krona charts from several Bioinformatics tools as well as from text and XML files.