Predict RNA velocity through deep learning
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Updated
Dec 12, 2023 - Jupyter Notebook
Predict RNA velocity through deep learning
𝒫robabilistic modeling of RNA velocity ⬱
IRIS: Isoform peptides from RNA splicing for Immunotherapy target Screening
A script used to calculate percent spliced-in (PSI) values from bulk RNA sequencing data.
Data and code for the paper 'Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression'.
Nextflow pipeline for estimating relative changes in transcription elongation, splicing, and RNA decay kinetics from total RNA-seq data.
Splikit /ˈsplaɪ.kɪt/ is a toolkit designed for analyzing high-dimensional single-cell splicing data.
A database of introns and alternative splicing events across human tissues
A Python-based bioinformatics project that performs DNA sequence analysis including uppercase conversion, AT content calculation, complementary DNA generation, DNA to mRNA transcription, RNA splicing, and protein translation.
Ensemble-based deep learning framework for annotating intronic branchpoints in the human genome
Python functions for DNA sequence validation, Hamming distance, transition/transversion classification, plus a full pipeline for complementary strand generation, transcription, intron splicing, and protein translation.
Nextflow pipeline for estimating relative changes in transcription elongation, splicing, and RNA decay kinetics from total RNA-seq data.
Annotate splicing regulatory elements on genomic DNA sequences
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