bvieth

bvieth's Stars

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

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• scverse/scanpy

  Single-cell analysis in Python. Scales to >1M cells.

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• rstudio/webinars

  Code and slides for RStudio webinars

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• brentthorne/posterdown

  Use RMarkdown to generate PDF Conference Posters via HTML

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• workflowr/workflowr

  Organize your project into a research website

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• mikelove/awesome-multi-omics

  List of software packages for multi-omics analysis

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• daattali/timevis

  📅 Create interactive timeline visualizations in R

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• scRNA-tools/scRNA-tools

  Table of software for the analysis of single-cell RNA-seq data.

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• JamesHWade/gpttools

  gpttools extends gptstudio for package development to help you document code, write tests, or even explain code

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• dylkot/cNMF

  Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data

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• ggseg/ggseg

  Plotting tool for brain atlases, in ggplot

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• shantnu/PyEng

  Python for engineers

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• mlverse/chattr

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• LuyiTian/sc_mixology

  This contains the dataset for comparing scRNA-seq analysis methods

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• HenrikBengtsson/doFuture

  :rocket: R package: doFuture - Use Foreach to Parallelize via Future Framework

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• czi-hca-comp-tools/easy-data

  easy access to benchmark datasets

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• tobigithub/R-parallel

  Using R with many CPUs

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• csoneson/ExploreModelMatrix

  Explore design matrices interactively with R/Shiny

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• Bioconductor/basilisk

  Clone of the Bioconductor repository for the basilisk package.

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• TomKellyGenetics/graphsim

  R package: Simulate Expression data from igraph network using mvtnorm (CRAN; JOSS)

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• Albluca/ElPiGraph.R

  An R package to construct Elastic Principal Graphs

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• lgatto/tidies

  A Grammar of Data Manipulation for Omics Data

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• kdzimm/PseudoreplicationPaper

  Code used to carry out parameter estimation, correlation estimation, type 1 error analysis, and power analysis for our "Pseudoreplication in Single-Cell" study

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• HelenaLC/simulation-comparison

  Snakemake workflow to benchmark scRNA-seq data simulators

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• Hellmann-Lab/scRNA-seq_Contamination

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• drisso/deconsgl

  Deconvolution of RNA-Seq Via Sparse Group Lasso

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• Hellmann-Lab/gRNA-design

  gRNA-design

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• huiwenzh/scVar

  A wrapper method to measure cell-to-cell variability in scRNA-seq data

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• tombartlett/SBDN

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• winni2k/winni2k.github.io

  Personal homepage of Warren W. Kretzschmar

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