nsalomonis
Our laboratory works to develop computational genomics methods for to understand cellular heterogeneity at the level of gene expression and splicing.
Cincinnati Children's Hospital and Medical Research CenterCincinnati, Ohio
nsalomonis's Stars
CCSB-DFCI/TF_isoforms_paper
KyleFerchen/pyInfinityFlow
Python package to generate high dimensional Flow Cytometry datasets using imputation by XGBoost regression
frankligy/scTriangulate
scTriangulate is a Python package to mix-and-match conflicting clustering results in single cell analysis and generate reconciled clustering solutions
frankligy/SNAF
Splicing Neo Antigen Finder (SNAF) is an easy-to-use Python package to identify splicing-derived tumor neoantigens from RNA sequencing data, it further leverages both deep learning and hierarchical Bayesian models to prioritize certain candidates for experimental validation
khandaud15/RNA-Seq-Variant-Calling
Snakemake based workflow for calling Variants on RNA-Seq data in a joint calling mode
jw156605/MATCHER
MATCHER (Manifold Alignment to Characterize Experimental Relationships) is an approach for integrating single cell transcriptomic and epigenomic data. See Welch et al. (2017) for more details: https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1269-0
nsalomonis/altanalyze
AltAnalyze is a multi-functional and easy-to-use software package for automated single-cell and bulk gene and splicing analyses. Easy-to-use precompiled graphical user-interface versions available from our website.