This project deals with predicting the location of a gene in the human genome based off experimental data
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Updated
Jun 11, 2020 - Python
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
A comprehensive microbial genomic analysis pipeline that includes quality control, gene prediction, annotation, and comparative genomic analysis for identifying and visualizing key genetic features in microbial genomes.
automatically create GLIMMER training materials from GenBank records
Pogigwasc gene prediction of Loxodes magnus genome
A toolkit for identifying gene homologs in closely related species.
Pipelines for gene and TE annotation of pangenomes.
Augustus is a highly customizable client designed to adapt to any anticheat, making it powerful for both PvP and HvH. It supports both blatant and legit modes, offers a lot of modules, and is compatible with versions 1.8.9 through 1.20 (via ViaVersion).
Prediction of genes in genomes with ambiguous stop codons
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
Practical and home works in the discipline Bioinformatics.
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.
Prediction of metastasis sites for breast cancer cells
Scans fasta sequences for putative viruses - uses prokka, blast, and hhpred to predict ORFs and gene products
ncRNA identification, annotation and functional prediction
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