MetaEuk - sensitive, high-throughput gene discovery and annotation for large-scale eukaryotic metagenomics
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Updated
May 1, 2024 - C
MetaEuk - sensitive, high-throughput gene discovery and annotation for large-scale eukaryotic metagenomics
A toolkit for identifying gene homologs in closely related species.
Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples
GeneValidator: Identify problems with predicted genes
ncRNA identification, annotation and functional prediction
Nextflow pipeline for genome annotation of protein-coding genes
The AugusMake pipeline is a Snakemake-based workflow for generating gene annotations using the Augustus software. AugusMake can perform gene predictions using any combination of the three methods: ab initio, with extrinsic hints, or by training a new species.
PredGenesGetPepts is an easy-to-use, beginner-friendly pipeline to call genes from fasta files, retrieve peptides and blasting them against a given protein database
Pogigwasc gene prediction of Loxodes magnus genome
Practical and home works in the discipline Bioinformatics.
Same species annotation lift over pipeline.
Python3 wrapper for parallelized gene prediction using Prodigal
Prediction of genes in genomes with ambiguous stop codons
iPat allows you to perform GWAS and GS with drags and clicks!
Better and faster Rust implementation of the FragGeneScan gene prediction model for short and error-prone reads.
Using un-assembled genome sequence data from the Centers for Disease Control and Prevention (CDC) proceed through five distinct stages of analysis and interpretation of that data: 1-genome assembly, 2-gene prediction, 3-functional annotation, 4-comparative genomics and 5-production of a predictive webserver.
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