Personal Information
Entreprise/Lieu de travail
Berlin Area, Germany Germany
Profession
Group Leader, Head of Bioinformatics Platform at Max Delbrück Center
Secteur d’activité
Medical / Health Care / Pharmaceuticals
Site Web
bioinformatics.mdc-berlin.de/
À propos
I am working on computational genomics of cancer. Particularly, I am developing methods for DNA methylation analysis, RNA-seq analysis and integration of high-throughput genomics datasets. My other general interests are as follows:
- Gene regulation and gene regulatory networks in disease
- DNA sequencing analysis and its applications to genome biology
- Highly conserved elements and their regulatory function
- Transcription factor binding site prediction and related algorithms
- Application of machine learning methods to biological problems
Mots-clés
genomics
bioinformatics
methylation
sequencing
r
cancer
machine learning
science
ngs
epigenomics
data analysis
rrbs
target capture
Tout plus
Présentations
(7)Documents
(5)J’aime
(5)Jonathan Ronen - Variational Autoencoders tutorial
Jonathan Ronen
•
il y a 6 ans
Digging into the Dirichlet Distribution by Max Sklar
Hakka Labs
•
il y a 10 ans
The 10 Timeless Productivity Hacks
Bernard Marr
•
il y a 9 ans
10 R Packages to Win Kaggle Competitions
DataRobot
•
il y a 9 ans
Machine Learning and Hadoop
Josh Patterson
•
il y a 12 ans
Personal Information
Entreprise/Lieu de travail
Berlin Area, Germany Germany
Profession
Group Leader, Head of Bioinformatics Platform at Max Delbrück Center
Secteur d’activité
Medical / Health Care / Pharmaceuticals
Site Web
bioinformatics.mdc-berlin.de/
À propos
I am working on computational genomics of cancer. Particularly, I am developing methods for DNA methylation analysis, RNA-seq analysis and integration of high-throughput genomics datasets. My other general interests are as follows:
- Gene regulation and gene regulatory networks in disease
- DNA sequencing analysis and its applications to genome biology
- Highly conserved elements and their regulatory function
- Transcription factor binding site prediction and related algorithms
- Application of machine learning methods to biological problems
Mots-clés
genomics
bioinformatics
methylation
sequencing
r
cancer
machine learning
science
ngs
epigenomics
data analysis
rrbs
target capture
Tout plus