Roberson Lab (@RobersonLab)
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RobersonLab

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  • Stars
    star
    35
  • Global Org. Rank 92,625 (Top 30 %)
  • Registered over 11 years ago
  • Most used languages
    Python
         40.0 %
    C++
         30.0 %
    R
         10.0 %
    Dockerfile
         10.0 %
    HTML
         10.0 %
  • Location 🇺🇸 United States
  • Country Total Rank 82,464
  • Country Ranking
    Dockerfile
         5,361
    HTML
         7,899
    R
         8,098

Top repositories

1

drop_it_like_its_hot_r

Compilation of R heatmap functions.
HTML
12
star
2

motif_scraper

Tool for finding matches to degenerate sequence motifs in FASTA files.
Python
11
star
3

vcf2snpduo

Simple python script for converting a valid, multi-sample VCF file into a SNPduo compatible format.
Python
3
star
4

ngg2

Python package to identify NGGNGG Cas9 gRNA sites in any indexed FASTA file.
Python
2
star
5

snpduo

Repository for the snpduo command-line tool. The tool is designed to calculate identity-by-state in large SNP genotyping datasets. Originally developed in the lab of Dr. Jonathan Pevsner at the Kennedy Krieger Institute in Baltimore. Publication PMID: 19696932.
C++
2
star
6

count_dual_indexes

C++ program to take the FASTQ files of two indexes and count the index pairs.
C++
1
star
7

wustl_ris_docker_image_builds

Dockerfile
1
star
8

genbankFeatureFasta2Bed

Simple python script to convert the exported features for a genbank record (FASTA format) into a 5 column BED file.
Python
1
star
9

fastqSol2Phred

Simple program that converts FASTQ files in Solexa quality offset (QUAL+64) to a FASTQ file with Phred/Sanger offset (QUAL+33).
C++
1
star
10

fastq_scrubber

Really hacky way to remove adapters from NGS while keeping reads in order. Recommend alt strategy with cutadapt instead.
1
star
11

snpduoweb

Repository for the web-based version / visualization engine for the SNPduoWeb tool. Designed to visualize identity-by-state in high-density snp data. Originally developed in the lab of Dr. Jonathan Pevsner at the Kennedy Krieger Institute in Baltimore. Publication PMID: 19696932.
R
1
star