Deep learning methods for feature selection in gene expression autism data.
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Updated
Jun 21, 2022 - Jupyter Notebook
Deep learning methods for feature selection in gene expression autism data.
Pipeline for the identification of (coding) gene structures in draft genomes.
Annotate DNA sequences for Gene Ontology terms
Visualizing transcript structure and annotation using ggplot2
A minimal desktop app for easy and convenient gene annotation and lookup.
GeneSCF moved to a dedicated GitHub page, https://github.com/genescf/GeneSCF
Integrative systems analysis identifying the associations between genes and biological process or modules.
An R framework for phylostratigraphy
The post-TOGA processing pipeline
MetaDome is aimed at professionals in the (bio-)medical field of human genetics who wish to visualize the position of their mutation of interest in the context of general population-based genetic variation and provide detailed information of pathogenic variants found across homologous domain positions.
ncRNA identification, annotation and functional prediction
Enables Gene Ontology (and other feature annotation) enrichment calculations and comparisons between feature sets.
Co-occurrence of enzyme domains
A pipeline for identification and annotation of transposable element (TE) insertions using next generation sequencing (NGS) data.
cool BED-to-GFF3 converter that runs in parallel
Package to gather gene information, annotations, and functions
Structural variant VCF annotation, duplicate removal and comparison
Predicting Alzheimer’s disease risk factors from the variant fingerprints of non-AD genes
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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