MarioStanke

Professor of Bioinformatics

University of GreifswaldGreifswald, Germany

Pinned Repositories

Augustus
Genome annotation with AUGUSTUS
Language:C++296 17 285113
learnMSA
Learning and Aligning Large Protein Families with support of protein language models.
Language:Jupyter Notebook21 3 164
alv
A console-based alignment viewer
Language:Python0 1 00
ClassyFlu
Subfamily Identification and Classification of the Influenza A Virus
Language:Perl0 2 00
ddpg
Deep Deterministic Policy Gradient - Reinforcement Learning with Continuous Action Space
Language:Python1 2 00
galaxy-hub
Galaxy Community Hub
Language:HTML0 2 00
GeneMark-ETP
GeneMark-ETP: gene finding in eukaryotic genomes supported by transcriptome sequencing and protein homology
Language:AMPL0 0 00
GeneMarkHmmEukaryotic3
GeneMark.hmm eukaryotic algorithm-3 version 3.68.pub
Language:C++0 0 00
learn_specific_profiles
One idea to find sequence similarity
Language:Jupyter Notebook2 2 00
plant-landmarks
Bärlapp - Unterscheidung von Subspecies (Schnittler)
1 2 00

MarioStanke/learn_specific_profiles
One idea to find sequence similarity
Language:Jupyter Notebook2 2 00
MarioStanke/ddpg
Deep Deterministic Policy Gradient - Reinforcement Learning with Continuous Action Space
Language:Python1 2 00
MarioStanke/plant-landmarks
Bärlapp - Unterscheidung von Subspecies (Schnittler)
1 2 00
MarioStanke/alv
A console-based alignment viewer
Language:Python0 1 00
MarioStanke/ClassyFlu
Subfamily Identification and Classification of the Influenza A Virus
Language:Perl0 2 00
MarioStanke/galaxy-hub
Galaxy Community Hub
Language:HTML0 2 00
MarioStanke/GeneMark-ETP
GeneMark-ETP: gene finding in eukaryotic genomes supported by transcriptome sequencing and protein homology
Language:AMPL0 0 00
MarioStanke/GeneMarkHmmEukaryotic3
GeneMark.hmm eukaryotic algorithm-3 version 3.68.pub
Language:C++0 0 00
MarioStanke/git-workflows
Git-Workflows for Praktikum Softwaretechnik
Language:C++0 3 00
MarioStanke/reinforce-one
Reinforcement learning for One Health
Language:Python0 2 00
MarioStanke/resistance
"The Resistance" card game - winning probability of random strategy
Language:Jupyter Notebook0 2 00