There are 0 repository under kmers topic.
counts k-mers, written in rust
Analysis of DNA Sequence Classification Using Neural Networks - Bioinformatics Course Project - Winter 2022
K-mer counting algorithms and count-data utilities for the BioJulia framework
KmerCamel🐫 provides implementations of several algorithms for efficiently representing a set of k-mers as a masked superstring.
A naive implementation of a k-mer counter in Python, takes fasta files and k-mer length requests and outputs all k-mers of length k, their reverse complement, and their frequency within their respective sequence for each sequence in the file.
Alignment-free method to identify and analyse discriminant genomic subsequences within pathogen sequences
Tetemer, an R package and Shiny app for interactively fitting population parameters to k-mer spectra of diploids, triploids, and tetraploids (allo and auto)
Extract SNPs and accessory differences in closely related bacterial genomes from k-mers
The generation of a kmers dataset that is associated with multiple gene sequences and the further manipulation of this generated dataset are the main contents of the current project.
An algorithm for finding SNPs of a long read compared to a reference genome
NAUniSeq: A fast computational pipeline to search unique sequences for microbial diagnostics
Evaluation of Statistical Linear Models for Genome Virus Classification
Generate K-mer spectra to observe modalities of distributions
Alignment-Free phylogenetic tree construction from .fasta sequence files
[Features extraction method] You can find the new version of CASTOR_KRFE at https://github.com/bioinfoUQAM/CASTOR_KRFE
Python assignment for my Bio-535 course at URI, Spring 2018.
DNA CLASSIFICATION
A collection of various biopython scripts.
Benchmarks and evaluation scripts for the Fulgor index.
Coding problems from course 1 of the Bioinformatics specialization
This is the repository of the pipeline META-DIFF, which detects sequences in differential abundances between two conditions, and annotates them taxonomicaly and functionaly.