vickyrev's Stars
BostonGene/MFP
Mollecular Functional Portraits
siyao-liu/MultiK
MultiK is a data-driven tool that objectively assesses the optimal number(s) of clusters based on the concept of consensus clustering via a multi-resolution perspective.
califano-lab/PISCES
R package for Protein activity analysis of single-cell RNAseq.
krumsieklab/maplet
R statistical toolbox for metabolomics
immunogenomics/presto
Fast Wilcoxon and auROC
sqjin/CellChat
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
aertslab/SCENIC
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
nf-core/atacseq
ATAC-seq peak-calling and QC analysis pipeline
theislab/cellrank
CellRank: dynamics from multi-view single-cell data
broadinstitute/Celligner_ms
Code related to the Celligner manuscript
saeyslab/nichenetr
NicheNet: predict active ligand-target links between interacting cells
theislab/scvelo
RNA Velocity generalized through dynamical modeling
quadbio/simspec
Calculation of Reference/Cluster Similarity Spectrum (RSS/CSS)
facebookresearch/PoincareMaps
The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclidean geometry which is not an optimal choice for modeling complex cell trajectories with multiple branches. To overcome this fundamental representation issue we propose Poincaré maps, a method harnessing the power of hyperbolic geometry into the realm of single-cell data analysis.
velocyto-team/velocyto.R
RNA velocity estimation in R
soedinglab/merlot
Reconstruct the lineage topology of a scRNA-seq differentiation dataset.
GuoliangLi-HZAU/BatMeth2
BS-seq analysis pipeline
apptainer/singularity
Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
harvardinformatics/ATAC-seq
williamritchie/IRFinder
Detecting intron retention from RNA-Seq experiments
marislab/create-pptc-pdx-oncoprints
As part of an overall strategy for improving therapies for childhood cancers, the PPTC seeks to develop models for the types of tumors that will be encountered in early phase clinical testing by establishing patient derived xenografts (PDXs) from high-risk childhood cancers refractory to current standard of care treatments. Genomic profiling of these models is required to enable PPTC investigators to develop robust "responder hypotheses" when drug activity is observed. With funding provided by Alex's Lemonade Stand Foundation, we genomically characterize a major subset of 286 PDX models. We use whole exome sequencing, transcriptome sequencing, and SNPArray to characterize the tumor models. The focus on DNA and RNA sequencing data mirrors the current standard practice in most clinical diagnostics lab that use these technologies to detect the spectrum of targetable mutations, gene amplifications, and gene fusion events relevant to preclinical drug development.
AlexsLemonade/OpenPBTA-analysis
The analysis repository for the Open Pediatric Brain Tumor Atlas Project
bcbio/bcbio_validations
Validation runs using bcbio: germline, somatic, structural variant calling and RNA-seq analyses
methodistsmab/CCCExplorer
Paper - Transcriptome analysis of individual stromal cell populations identifies stroma-tumor crosstalk in mouse lung cancer model
LSun/cashr
`cashr`: Solve the correlated Empirical Bayes Normal Means problem, with applications to large-scale multiple testing
shenorrLabTRDF/bseqsc
Bulk-Sequence Single-Cell Gene Expression Deconvolution Pipeline
xuranw/MuSiC
Multi-subject Single Cell Deconvolution
jasongfleischer/Predicting-age-from-the-transcriptome-of-human-dermal-fibroblasts
Code to generate Figure 2 of the paper "Predicting age from the transcriptome of human dermal fibroblasts" from the FPKM tables
PoisonAlien/maftools
Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
NKI-GCF/XenofilteR
Filtering of PDX samples for mouse derived reads