MetaEuk - sensitive, high-throughput gene discovery and annotation for large-scale eukaryotic metagenomics
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Updated
Jul 12, 2024 - C
MetaEuk - sensitive, high-throughput gene discovery and annotation for large-scale eukaryotic metagenomics
Same species annotation lift over pipeline.
GeneValidator: Identify problems with predicted genes
Genome Annotation for the Masses
Better and faster Rust implementation of the FragGeneScan gene prediction model for short and error-prone reads.
Nextflow pipeline for genome annotation of protein-coding genes
iPat allows you to perform GWAS and GS with drags and clicks!
Gene Prediction using MAKER, CEGMA, SNAP, GENEMARK & AUGUSTUS
Python3 wrapper for parallelized gene prediction using Prodigal
scripts associated with yam genome assembly
Scalable high-throughput short-read open reading frame prediction
Scans fasta sequences for putative viruses - uses prokka, blast, and hhpred to predict ORFs and gene products
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.
ncRNA identification, annotation and functional prediction
Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples
Prediction of genes in genomes with ambiguous stop codons
Cpp Programs for feature extraction
Gene Prediction Meta Server is a project that aims to bring multiple offline gene prediction tools online and integrating them into a single online platform in a user-friendly way. The related video link is attached.
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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