Python bioinformatics CLI for k-mer counts and de Bruijn graphs
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Updated
Aug 2, 2024 - Python
Python bioinformatics CLI for k-mer counts and de Bruijn graphs
Tools for filtering k-mer data
Metabuli: specific and sensitive metagenomic classification via joint analysis of DNA and amino acid.
ultrafast genome querying and taxonomic profiling for metagenomic samples by abundance-corrected minhash.
Kmer-db is a fast and memory-efficient tool for large-scale k-mer analyses (indexing, querying, estimating evolutionary relationships, etc.).
A fast and space-efficient pre-filter for querying very large collections of nucleotide sequences.
PopPUNK 👨🎤 (POPulation Partitioning Using Nucleotide Kmers)
A compressed, associative, exact, and weighted dictionary for k-mers.
Polymorphic Edge Detection - An efficient polymorphism detector for NGS data
SEER, reimplemented in python 🐍🔮
Detect complete horizontal gene transfer (HGT) event rapidly and accurately from complex metagenomics data.
A versatile toolkit for k-mers with taxonomic information
An RNA virus strain-level identification tool for short reads.
subset and spaced seed design tool
🧹🦷 aKmerBroom: Ancient oral DNA decontamination using Bloom filters on k-mer sets
Telomeric Repeat motif Identification tool with Short-read sequencing
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