Python3 wrapper for parallelized gene prediction using Prodigal
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Updated
Mar 3, 2023 - Python
Python3 wrapper for parallelized gene prediction using Prodigal
scripts associated with yam genome assembly
Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples
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
Comprehensive genome annotation pipeline for plant combining EVM/PASA, GETA, AUGUSTUS and Helixer with semi-supervised filtering for high-quality gene models.
A toolkit for identifying gene homologs in closely related species.
Prediction of metastasis sites for breast cancer cells
This project deals with predicting the location of a gene in the human genome based off experimental data
EMBLish aims to provide a tool for converting gene prediction files such as Maker output file and gene annotation files such as Pannzer2 output file into the EMBL format
Pogigwasc gene prediction of Loxodes magnus genome
automatically create GLIMMER training materials from GenBank records
🔬🚀Prokaryotic gene prediction using Shine-Dalgarno motif and reading frame detection🧬🦠
🔮🧬 Gene prediction tool
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