@SchulzLab
  • Stars
    star
    168
  • Global Rank 140,790 (Top 5 %)
  • Followers 46
  • Following 3
  • Registered almost 11 years ago
  • Most used languages
    Python
    31.8 %
    R
    22.7 %
    C++
    18.2 %
    HTML
    13.6 %
    Shell
    4.5 %
    Java
    4.5 %
    Makefile
    4.5 %
  • Location πŸ‡©πŸ‡ͺ Germany
  • Country Total Rank 7,449
  • Country Ranking
    R
    309
    Makefile
    711
    HTML
    929
    C++
    1,322
    Shell
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    Python
    2,229
    Java
    9,187

Top repositories

1

TEPIC

Annotation of genomic regions using transcription factor binding sites and epigenetic data
Python
38
star
2

ORNA

Fast in-silico normalization algorithm for NGS data
C++
22
star
3

EpigenomicsTutorial-ISMB2017

Repository for the Epigenomics Tutorial hold at ISMB 2017 in Prague
Shell
14
star
4

STARE

TF analysis from epigenetic and Hi-C data
C++
13
star
5

STITCHIT

Learning gene-specific regulatory elements from epigenetic data
HTML
11
star
6

Aeron

Alignment, quantification and fusion prediction from long RNA reads
Python
10
star
7

EpigenomeAnalysisTutorial-2020

This website contains material for an epigenome analysis tutorial that covers ATAC-seq analysis and integration with TF motifs and gene expression
Python
8
star
8

RAPID

RAPID is a set of tools for the alignment, and analysis of genomic regions with small RNA clusters derived from small RNA sequencing data.
HTML
7
star
9

SNEEP

SNp Exploration and Analysis using EPigenomics data
C++
7
star
10

KREATION

automated k-mer range estimation for de novo transcriptome assembly
Python
7
star
11

Triangulate

Inferring regulators from single cell RNA-seq data
R
6
star
12

OntologyEval

OntologyEval is an approach that can be used to compare batch effect correction of normalisation methods for cell heterogeneous genome-wide datasets, like RNA-seq. It uses the cell ontology to evaluate whether datasets derived from different cell types are similar to one another.
R
6
star
13

TriplexAligner

A method for sequence based prediction of RNA-DNA triplices.
R
4
star
14

SOS

Automated de novo transcriptome assembly
Python
3
star
15

MASSIF

Improved motif enrichment analysis using protein domain type information
HTML
2
star
16

JAMI

Java tool for computing conditional mutual information from large datasets
Java
2
star
17

SingleCellStitchit

Learning enhancer-gene interactions from single cell data
C++
2
star
18

SplitOrfs

A workflow to computationally detect transcripts that could generate several distinct ORFs that match to the same protein. This can be used to find for example nonsense-mediated decay transcripts that make more than one ORF.
Python
1
star
19

TFML

Makefile
1
star
20

RJAMI

R-wrapper for JAMI: Computation of conditional mutual information from large datasets
R
1
star
21

TFAnalysis

processing and analysis of transcription factor binding sites
Python
1
star
22

Codefinder

Learning translation code between sets of DNA motifs
R
1
star