Personal Information
Entreprise/Lieu de travail
Copenhagen Area, Capital Region, Denmark Denmark
Profession
Interdisciplinary Life Scientist/ Bioinformatician
Secteur d’activité
Education
À propos
Differentiation of neuronal cells by single-cell transcriptomics.
Data Analysis/ Visualisation:
Regression, Correlation, Bayesian methods, Classification, Linear Algebra, Calculus, Machine learning (ANN, SVM, clustering, ...), Parallel and distributed computing, AWS, C/C++, Matlab, Python (numPy, SciPy, Pandas, matplotlib), R, Bash, SQL, noSQL (MongoDB), ElasticSearch
Bioinformatics:
Molecular Modelling, Protein Structure Prediction, Docking, MD/MCMC Simulations, Analysis of Next Generation Sequencing Data, Genome Assembly, Proteomics
Wet Lab:
Basic Molecular Biology skills such as Cloning, Protein Purification, Cell Culture, Transfection.
Experience with sample preparation for and ha...
Mots-clés
mongodb
nosql
hpc
oxford nanopore
sql
cloud computing
amazon web services
database
aws
structural biology
rna
protein
dna
simulations
monte carlo
structural bioinformatics
Tout plus
Présentations
(1)J’aime
(13)Part 1 of RNA-seq for DE analysis: Defining the goal
Joachim Jacob
•
il y a 10 ans
RNAseq Analysis
Aureliano Bombarely
•
il y a 11 ans
Genomics, Transcriptomics, Proteomics, Metabolomics - Basic concepts for clinicians
Prasenjit Mitra
•
il y a 6 ans
Fehrman Nat Gen 2014 - Journal Club
Giovanni Marco Dall'Olio
•
il y a 8 ans
Combining PacBio with short read technology for improved de novo genome assembly
Lex Nederbragt
•
il y a 11 ans
150514 jts london_calling
Jared Simpson
•
il y a 8 ans
MongoDB and the Internet of Things
MongoDB
•
il y a 8 ans
OSCON 2012 MongoDB Tutorial
Steven Francia
•
il y a 11 ans
Overview of Amazon Web Services
Amazon Web Services
•
il y a 11 ans
IonGAP - an Integrated Genome Assembly Platform for Ion Torrent Data
Adrian Baez-Ortega
•
il y a 9 ans
ECCMID 2015 - So I have sequenced my genome ... what now?
Nick Loman
•
il y a 9 ans
TDD - Inevitable Challenge for Software Developers (phpkonf15 keynote)
Lemi Orhan Ergin
•
il y a 8 ans
What can you learn from molecular modeling?
digitalbio
•
il y a 8 ans
Personal Information
Entreprise/Lieu de travail
Copenhagen Area, Capital Region, Denmark Denmark
Profession
Interdisciplinary Life Scientist/ Bioinformatician
Secteur d’activité
Education
À propos
Differentiation of neuronal cells by single-cell transcriptomics.
Data Analysis/ Visualisation:
Regression, Correlation, Bayesian methods, Classification, Linear Algebra, Calculus, Machine learning (ANN, SVM, clustering, ...), Parallel and distributed computing, AWS, C/C++, Matlab, Python (numPy, SciPy, Pandas, matplotlib), R, Bash, SQL, noSQL (MongoDB), ElasticSearch
Bioinformatics:
Molecular Modelling, Protein Structure Prediction, Docking, MD/MCMC Simulations, Analysis of Next Generation Sequencing Data, Genome Assembly, Proteomics
Wet Lab:
Basic Molecular Biology skills such as Cloning, Protein Purification, Cell Culture, Transfection.
Experience with sample preparation for and ha...
Mots-clés
mongodb
nosql
hpc
oxford nanopore
sql
cloud computing
amazon web services
database
aws
structural biology
rna
protein
dna
simulations
monte carlo
structural bioinformatics
Tout plus