The Biodata Analysis Group (also known as the Bioinformatics Lab at the Institute of Applied Biosciences (INAB / CERTH) is active in Bioinformatics research, focusing on the design of new algorithms and pipelines.
We are a group of enthusiastic researchers, active in the following key fields:
For more details, have a look at our site.
Forked from mcmaniou/Project-UMIs
A framework implementing a method for UMI deduplication and reads correction.
CWL workflows and wrappers for processing HTS data from RNA-Seq, ChIP-Seq and Germline Variant calling experiments
Forked from sfragkoul/synth4bench
A framework for generating synthetic genomics data for the evaluation of tumor-only somatic variant calling algorithms.
Exploring Molecular Biodiversity: An Interactive R Shiny App Approach
Forked from npechl/InterTADs
Integrating multi-omics data coming from the same physical source (e.g. patient) by taking into account the chromatin configuration of the genome, i.e. the topologically associ-ating domains (TADs)
R 2
This a repository that holds the training course for the DOME ML Recommendations.
A framework for generating synthetic genomics data for the evaluation of tumor-only somatic variant calling algorithms.
A collection of Galaxy-related training material
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