Gene prediction using empirically determined introns
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Updated
Oct 14, 2022 - Python
Gene prediction using empirically determined introns
This pipeline infers exon functional annotations using coordinates from a .gff file and derives corresponding intron coordinates along with relevant annotations. Users can optionally specify the length of intronic fragments to extract. The pipeline is suited for splicing code analyses.
A database of introns and alternative splicing events across human tissues
A Python-based bioinformatics project that performs DNA sequence analysis including nucleotide mutation conversion, DNA to RNA transcription, mRNA translation into amino acids, AT content calculation, and exon-intron splicing operations.
A tool to determine locations of potential novel intronic splicing
Creating so called sequence logos for UTRs and introns of genes in the human genome
Scripts used to prepare the "Self-splicing introns in genes of Bastillevirinae bacteriophages" paper
Intron mapping for genes linked to psychiatric disorders from Cell 2025 MPRA & CROP-seq data
Manuscript data and code repository
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