singhbhavya
Currently: PhD Student at the Icahn School of Medicine at Mount Sinai. Previously: Bioinformatician, Weill Cornell. MSc, McMaster University.
New York
Pinned Repositories
cell2location
Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)
SoloTE
RiboDetector
Accurate and rapid RiboRNA sequences Detector based on deep learning
igv
Integrative Genomics Viewer. Fast, efficient, scalable visualization tool for genomics data and annotations
bio_utils
General utilities, functions, and to-dos for single-cell, spatial transcriptomic, and other bioinformatics analyses. Some functions and utilities may be geared towards usage within Mount Sinai's Minerva HPC infrastructure.
gtex_sc_bulk_comparison
Comparison of GTEx bulk and single-cell retrotranscriptomic data, generated from Telescope and Stellarscope respectively.
hematological_malignancies_te_analysis
tea-biscuit-retro
TEA-BISCUIT Workshop Day 2: Bulk Retrotranscriptomic Analysis
Telescope_Bootcamp
A Nixon Lab bootcamp to familiarize lab members with bioinformatics, Snakelike workflows, GitHub, Anaconda, and general analysis and quantification of transposable elements in RNA-seq data.
ribotricer
A tool for accurately detecting actively translating ORFs from Ribo-seq data
singhbhavya's Repositories
singhbhavya/bio_utils
General utilities, functions, and to-dos for single-cell, spatial transcriptomic, and other bioinformatics analyses. Some functions and utilities may be geared towards usage within Mount Sinai's Minerva HPC infrastructure.
singhbhavya/gtex_sc_bulk_comparison
Comparison of GTEx bulk and single-cell retrotranscriptomic data, generated from Telescope and Stellarscope respectively.
singhbhavya/hematological_malignancies_te_analysis
singhbhavya/tea-biscuit-retro
TEA-BISCUIT Workshop Day 2: Bulk Retrotranscriptomic Analysis
singhbhavya/Telescope_Bootcamp
A Nixon Lab bootcamp to familiarize lab members with bioinformatics, Snakelike workflows, GitHub, Anaconda, and general analysis and quantification of transposable elements in RNA-seq data.