EasyPiPi's Stars
crazyhottommy/getting-started-with-genomics-tools-and-resources
Unix, R and python tools for genomics and data science
Anduin2017/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
RILAB/statements
Successful Job Applications and Grants
macarthur-lab/gene_lists
List of gene lists for genomic analyses.
meyer-lab-cshl/snakemake-uge
stephenturner/annotables
R data package for annotating/converting Gene IDs
GreenleafLab/ArchR
ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)
hms-dbmi/UpSetR
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
lmcinnes/umap
Uniform Manifold Approximation and Projection
KlugerLab/FIt-SNE
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
seandavi/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
azofeifa/Tfit
Transcription fit (Tfit) utilizes a generative model of RNA Polymerase to identify sites of divergent transcription in assays like GRO-seq, PRO-seq and GRO-cap
tidyverse/dtplyr
Data table backend for dplyr
TysonStanley/tidyfast
Fast and efficient alternatives to tidyr functions built on data.table #rdatatable #rstats
yonicd/bplyr
basic dplyr and tidyr functionality without the tidyverse dependencies
LKremer/ggpointdensity
:chart_with_upwards_trend: :bar_chart: Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.
plaidml/plaidml
PlaidML is a framework for making deep learning work everywhere.
dpryan79/ChromosomeMappings
This repository contains chromosome/contig name mappings between UCSC <-> Ensembl <-> Gencode for a variety of genomes.
huangyifeicmb/RNA-SEM
RNA structural equation modeling
Danko-Lab/CD4-Cell-Evolution
Analyses for an initial paper on the evolutionary CD4+ T-cell PRO-seq datasets.