Manifold learning for single-cell single-nucleotide genetic variations
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Updated
Jun 3, 2024 - Jupyter Notebook
Manifold learning for single-cell single-nucleotide genetic variations
Advanced bioinformatics analysis of RNA sequencing data and genomic databases using R. Explore allelic imbalances, SNP variants, and phylogenetic trees to uncover genetic insights and visualize complex data interactions.
Repository for method to analyse the relationship between germline variants and somatic mutations and alternative splicing in breast cancer patients based on RNA-Seq data,
Efficient genotyping bi-allelic SNPs on single cells
using all the bits for echt rapid variant annotation and filtering
An R package for interpreting genetic variants according to the ACMG guidelines.
Data repository for NeurIPS 2022 LMRL workshop paper.
NCBI Medical Genetics, UMLS Unified Medical Language System Concepts and PubMed linked citations
Decentralized data market for GenoPharmatic information
Final Project - Post Genomic Analysis
Pileup biallelic SNPs from single-cell and bulk RNA-seq data
Bioinformatic approach to identify functional transcription factor binding motifs
At The ODIN, we believe the future is going to be dominated by genetic engineering and consumer genetic design will be a big part of that. We are making that happen by creating kits and tools that allow anyone to make unique and usable organisms at home or in a lab or anywhere.
The general impact of haploinsufficiency on brain connectivity underlies the pleiotropic effect of neuropsychiatric CNVs
An R package for the Latent Environmental & Genetic InTeraction (LEGIT) model
Regulatory Element Locus Intersection (RELI) Analysis
DNAc is a programming language for DNAs.
Extracting gene variants from supplemental data files of human genomics research articles.
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