Predicting Alzheimer’s disease risk factors from the variant fingerprints of non-AD genes
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Updated
May 12, 2020 - Jupyter Notebook
Predicting Alzheimer’s disease risk factors from the variant fingerprints of non-AD genes
A toolkit for identifying gene homologs in closely related species.
Stone Lab @ CSUEB Collaboration Projects focused on Plant Bioinformatics
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.
Python tool for relative mutation rate of different genes across viral strains.
A bioinformatics software system designed for comparing gene annotations between different releases for a selected species. It includes Python classes for data processing, information extraction, a MySQL relational database, and web-based interfaces for dynamic data querying.
Linux tool for relative mutation rate of different genes across viral strains.
Nextflow workflow to generate gene track files for HiGlass
A pipeline for identification and annotation of transposable element (TE) insertions using next generation sequencing (NGS) 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 NextFlow pipeline for the annotation of gene homologs using SABAT.
Bioinformática Hospital de Amor de Barretos.
Analysis of different versions of Platypus Gene Annotations from the Ensembl database. Includes a basic frontend to present data, hosted using a Miami class server. The backend is a database containing gene data that a user can query through the frontend.
Command line tools for working with various gene annotation formats.
This project deals with predicting the location of a gene in the human genome based off experimental data
Optimising the Definitions of Expressed Regions
Enables Gene Ontology (and other feature annotation) enrichment calculations and comparisons between feature sets.
A new annotation file format based on JSON, containing all information stored in the GenBank format but with advantageoius parsing and information structure properties.
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