Python library to parse, format, validate, normalize, and map sequence variants. `pip install hgvs`
-
Updated
Jul 29, 2024 - Python
Python library to parse, format, validate, normalize, and map sequence variants. `pip install hgvs`
non-redundant, compressed, journalled, file-based storage for biological sequences
Intervene: a tool for intersection and visualization of multiple genomic region and gene sets
Earl Grey: A fully automated TE curation and annotation pipeline
provides common tools and lookup tables used primarily by the hgvs and uta packages
Long-reads Gap-free Chromosome-scale Assembler
H.E.L.E.N. (Homopolymer Encoded Long-read Error-corrector for Nanopore)
Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks
Snakemake workflow for the analysis of biosynthetic gene clusters across large collections of genomes (pangenomes)
OpenAPI-based REST interface to biological sequences and sequence metadata
[in development] Proof-of-Concept variation translation, validation, and registration service
Reconstructs complex variation using Bionano optical mapping data and breakpoint graph data
A random forest classifier to identify contigs of plasmid origin in contig and scaffold genomes
A tool for classifying prokaryote protein sequences into COG(Cluster of Orthologous Genes) functional category
biocommons website
HiCARN: Resolution Enhancement of Hi-C Data Using Cascading Residual Networks
A simple tool to generate hierarchical clustering trees from nucleotide sequences. Supports a number of distance metrics and clustering algorithms. Includes a large testset of SARSCOV2 genomes.
NanoRepeat: fast and accurate analysis of Short Tandem Repeats (STRs) from Oxford Nanopore sequencing data
A python project for analysis of codon usage for gene or genome analysis
Add a description, image, and links to the genome-analysis topic page so that developers can more easily learn about it.
To associate your repository with the genome-analysis topic, visit your repo's landing page and select "manage topics."