mnshgl0110

mnshgl0110's Stars

• kamimrcht/Grimr

  Language:Rust3

• LRZ-BADW/ai-systems

  A repository of examples that could be run on the LRZ AI Systems

  Language:Python11

• LRZ-BADW/AITS-containers

  The exercises for the AI Training Series on Containers.

  Language:Jupyter Notebook21

• immunitastx/coding_exercise_TCGA_infiltration

  coding exercise using TCGA immune infiltration data

  4214

• schneebergerlab/syri

  Synteny and Rearrangement Identifier

  Language:Cython32335

• mnshgl0110/hometools

  collection of command-line functions used to perform multiple small frequently required analysis

  Language:Python62

• cxli233/Online_R_learning

  Online R learning for applied statistics

  495101

• schneebergerlab/plotsr

  Tool to plot synteny and structural rearrangements between genomes

  Language:Python27828

• JohnLonginotto/pybam

  Very simple, pure python, BAM file reader

  Language:Python7932

• Gabaldonlab/jloh

  A tool to extract LOH blocks from VCF, BAM and FASTA data

  Language:Python202

• schneebergerlab/fixchr

  Language:Python131

• iqbal-lab-org/gramtools

  Genome inference from a population reference graph

  Language:C++9215

• iqbal-lab-org/varifier

  Variant call verification

  Language:Python143

• esi-neuroscience/acme

  Asynchronous Computing Made ESI

  Language:Python112

• schneebergerlab/msyd

  Language:Python9

• mkirsche/Jasmine

  Jasmine: SV Merging Across Samples

  Language:Java17817

• rfael0cm/RTIGER

  Language:R34

• tanghaibao/jcvi

  Python library to facilitate genome assembly, annotation, and comparative genomics

  Language:Python743187

• pyranges/pyranges

  Performant Pythonic GenomicRanges

  Language:Python43746

• RamanLab/iCOMIC

  Language:Perl55

• genome/bam-readcount

  Count bases in BAM/CRAM files

  Language:CMake30095

• JackyHess/Fungal_genome_annotation

  General and specific recipes used for genome annotation of different fungal genomes

  Language:Python64

• rezakj/iCellR

  Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).

  Language:R12019

• schneebergerlab/GameteBinning

  Language:C++123

• eldariont/svim-asm

  Structural Variant Identification Method using Genome Assemblies

  Language:Python9211

• schneebergerlab/toolbox

  Language:Python62

• imbbLab/EPIGENE

  EPIGENE models the observed combination of histone modifications using a product of independent Bernoulli random variables, to identify active transcription units.

  Language:R2