Sรถding Lab (@soedinglab)
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soedinglab

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  • Stars
    star
    2,135
  • Global Org. Rank 9,041 (Top 3 %)
  • Registered over 10 years ago
  • Most used languages
    C
         28.6 %
    C++
         20.0 %
    Python
         20.0 %
    HTML
         11.4 %
    Shell
         8.6 %
    Perl
         2.9 %
    Papyrus     2.9 %
    TeX
         2.9 %
    Vue     2.9 %
  • Location ๐Ÿ‡ฉ๐Ÿ‡ช Germany
  • Country Total Rank 795
  • Country Ranking
    Papyrus     1
    C
         28
    Vue     82
    HTML
         520
    C++
         677
    Perl
         719
    Shell
         794
    TeX
         850
    Python
         2,211

Top repositories

1

MMseqs2

MMseqs2: ultra fast and sensitive search and clustering suite
C
1,391
star
2

hh-suite

Remote protein homology detection suite.
C
535
star
3

metaeuk

MetaEuk - sensitive, high-throughput gene discovery and annotation for large-scale eukaryotic metagenomics
C
175
star
4

plass

sensitive and precise assembly of short sequencing reads
C
145
star
5

CCMpred

Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
C
93
star
6

MMseqs2-App

MMseqs2 app to run on your workstation or servers
Vue
58
star
7

WIsH

Predict prokaryotic host for phage metagenomic sequences
C++
52
star
8

spacedust

Discovery of conserved gene clusters in multiple genomes
C
42
star
9

uniclust-pipeline

Shell
35
star
10

spacepharer

SpacePHARER CRISPR Spacer Phage-Host pAiRs findER
C
34
star
11

prosstt

PRObabilistic Simulations of ScRNA-seq Tree-like Topologies
Python
25
star
12

CCMgen

HTML
20
star
13

pdbx

pdbx is a parser module in python for structures of the protein data bank in the mmcif format
Python
20
star
14

BaMMmotif

Bayesian Markov Model motif discovery - An expectation maximization algorithm for the de novo discovery of enriched motifs as modelled by higher-order Markov models.
C++
19
star
15

merlot

Reconstruct the lineage topology of a scRNA-seq differentiation dataset.
HTML
18
star
16

kClust

kClust is a fast and sensitive clustering method for the clustering of protein sequences. It is able to cluster large protein databases down to 20-30% sequence identity. kClust generates a clustering where each cluster is represented by its longest sequence (representative sequence).
C++
17
star
17

b-lore

Bayesian multiple logistic regression for GWAS meta-analysis
Python
16
star
18

MMseqs

C++
14
star
19

BaMMmotif2

Bayesian Markov Model motif discovery tool version 2 - An expectation maximization algorithm for the de novo discovery of enriched motifs as modelled by higher-order Markov models.
C++
12
star
20

ffindex_soedinglab

C
11
star
21

tejaas

Tejaas - a tool for discovering trans-eQTLs
C
10
star
22

bbcontacts

Prediction of beta-strand pairing from direct coupling patterns
Papyrus
8
star
23

hhdatabase_cif70

Scripts to generate the pdb70 database for hh-suite on the basis of pdb's mmcif format
Shell
7
star
24

PEnG-motif

PEnG-motif is an open-source software package for searching statistically overrepresented motifs (position specific weight matrices, PWMs) in a set of DNA sequences.
C++
7
star
25

transannot

TransAnnot - a fast transcriptome annotation pipeline
C
5
star
26

BaMM_webserver

Webserver for motif discovery with higher-order Bayesian Markov Models (BaMMs)
HTML
4
star
27

metaG-ECCB18-partII

MMseqs2 tutorial for metagenomics sequence data
TeX
3
star
28

bamm-suite

De-novo motif discovery and optimization
Python
3
star
29

CCMgen-scripts

Contains plotting scripts, examples, and other small scripts relevant to CCMgen and the corresponding publication.
Python
2
star
30

mockinbird

PAR-CLIP data processing pipeline
Python
2
star
31

bipartite_motif_finder

BMF: Bipartite Motif Finder
Python
1
star
32

CoCo

Consensus Correction
C++
1
star
33

MMseqs2-Regression

MMseqs2 Regression Testing
Shell
1
star
34

xxmotif

XXmotif: eXhaustive, weight matriX-based motif discovery in nucleotide sequences
Perl
1
star
35

prosstt-r

An R package with evaluation and visualization functions for the python PROSSTT package
HTML
1
star