Huntsman Cancer Institute (@HuntsmanCancerInstitute)
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HuntsmanCancerInstitute

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  • Stars
    star
    52
  • Global Org. Rank 78,148 (Top 25 %)
  • Registered over 8 years ago
  • Most used languages
    Java
         25.0 %
    Perl
         25.0 %
    R
         12.5 %
    Shell
         12.5 %
    C
         12.5 %
    Python
         12.5 %
  • Location 🇺🇸 United States
  • Country Total Rank 65,373
  • Country Ranking
    Perl
         882
    R
         2,397
    Java
         7,584

Top repositories

1

USeq

180+ Java applications for analyzing next generation sequencing data from ChIPSeq, RNASeq, BisSeq, DNASeq, variant annotation/ filtering, alignment/VCF QC, capture array design, IGV/ DAS2/IGB/UCSC file manipulation, etc. Both GUI and cmd line interfaces.
Java
16
star
2

hciR

R package for RNA-seq workflows at HCI
R
11
star
3

MultiRepMacsChIPSeq

Multiple-replica multiple-condition Macs2 ChIPSeq wrapper
Perl
7
star
4

Workflows

Snakemake workflows for best practice genomic analysis
Shell
7
star
5

UMIScripts

Simple scripts for handling Unique Molecular Indexes in Fastq and Bam files
Perl
6
star
6

GQuery

GQuery is a software tool for rapidly querying large numbers of bgzip compressed, tabix indexed genomic data files e.g. vcf, maf, bed, bedGraph, etc. from multiple species with different genome builds without the need to develop, debug, and maintain custom file parsers. Search for particular germline or somatic mutations, copy number changes, differentially expressed genes, epigenetic marks, anything that can be associated with genomic coordinates. Just point the GQuery indexer at a collection of tabix indexed files and then run either the GQuery command line app or the web API to search them. GQuery is built using a fast, multi-threaded, genomic range search engine with extensive junit testing.
C
2
star
7

scuir

Single Cell User Interface with R
1
star
8

RBSSeqTools

Java
1
star
9

atac-counter

Alternative counting for 10x Genomics single cell ATAC-seq data
Python
1
star