srubinacci

srubinacci's Stars

• just-the-docs/just-the-docs

  A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

  Language:SCSS7.8k654683.7k

• EleutherAI/gpt-neox

  An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

  Language:Python7k1284511k

• TheLartians/ModernCppStarter

  🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.

  Language:CMake4.5k6755392

• sib-swiss/training-collection

  Collection of bioinformatics training materials

  Language:Python9894568183

• powturbo/TurboPFor-Integer-Compression

  Fastest Integer Compression

  Language:C7844795112

• hms-dbmi/UpSetR

  An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..

  Language:R76638234158

• vcflib/vcflib

  C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings

  Language:C++62940273221

• pachterlab/BI-BE-CS-183-2023

  Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023

  Language:Jupyter Notebook4619372

• luntergroup/octopus

  Bayesian haplotype-based mutation calling

  Language:C++3051926937

• stephens999/fiveMinuteStats

  A repo of short "vignettes" illustrating statistical concepts

  Language:HTML302152386

• GoekeLab/bioinformatics-workflows

  minimal example implementations for bioinformatics workflow managers

  Language:Python26612246

• freeseek/score

  Tools to work with GWAS-VCF summary statistics files

  Language:C1105247

• stephenslab/mashr

  An R package for multivariate adaptive shrinkage.

  Language:R901410719

• genome-in-a-bottle/genome-stratifications

  Stratification BED files from the Global Alliance for Genomics and Health (GA4GH) Benchmarking Team and the Genome in a Bottle Consortium. These files can be used as standard resource of BED files for use with GA4GH benchmarking tools such as hap.py to stratify true positive, false positive, and false negative variant calls based on genomic context.

  Language:HTML76626

• odelaneau/shapeit5

  Segmented HAPlotype Estimation and Imputation Tool

  Language:C++7349912

• Illumina/akt

  Ancestry and Kinship Tools

  Language:C++70112213

• mmistakes/jekyll-sample-content

  :paperclip: Sample Jekyll content (posts, pages, collections, and images) to test your theme against.

  Language:HTML624040

• mourisl/T1K

  T1K is a versatile methods to genotype highly polymorphic genes (e.g. KIR, HLA) with bulk or single-cell RNA-seq, WGS or WES data.

  Language:C548358

• PacificBiosciences/sv-benchmark

  Public Benchmark of Long-Read Structural Variant Caller on PacBio CCS HG002 Data

  487420

• lh3/etrf

  Exact Tandem Repeat Finder (not a TRF replacement)

  Language:C47502

• HipSTR-Tool/HipSTR

  Genotype and phase short tandem repeats using Illumina whole-genome sequencing data

  Language:C27506

• SUwonglab/arcsv

  Complex structural variant detection from WGS data

  Language:Python264108

• tobiasrausch/vc

  A tutorial on structural variant calling for short read sequencing data

  Language:R26322

• joonanlab/BSMS205_2020Spring

  BSMS205 Genetics

  19209

• TiffanyAmariuta/TCSC

  TCSC (Tissue co-regulation score regression) is a statistical genetics method to identify causal tissues in diseases and complex traits.

  Language:R12124

• medical-genomics-group/gmrm

  A Bayesian grouped mixture of regressions model capable of estimating SNP marker effect sizes for multiple outcomes simultaneously

  Language:C++9111

• lindgrengroup/hail-on-dnanexus

  An unofficial alternative to DXJupyterlab Spark Cluster App

  Language:Shell6411

• alanrogers/agar22

  AGAR Workshop, 2022

  Language:Jupyter Notebook5605

• mbi2gs/seq_learn_tutorial

  :symbols: Code for the Sequence Learning Tutorial at BC2 2021 :nut_and_bolt:

  Language:Jupyter Notebook4202

• CERC-Genomic-Medicine/glimpse_pipeline

  Pipeline for variant imputation in low depth sequencing data using GLIMPSE

  Language:Nextflow3311