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Computational Genetics Group
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Research
Prediction of protein structure and function
Machine learning algorithms
Genetic epidemiology
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Pantelis Bagos
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Georgia Braliou
Margarita Theodoropoulou
Panagiota Kontou
Thodoris Liakopoulos
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Tools
A Multivariate Method for Meta-Analysis of Multiple Outcomes in Genetic Association Studies
Advanced meta-analysis in Stata using gllamm
GWAR
JUCHMME: Biological sequence analysis using Class Hidden Markov Models (CHMM)
meta-analysis for comparison of diagnostic tests
Meta-analysis for gene-gene and gene-environment interaction
Meta-analysis of haplotype association studies
meta-tdt
metagen
metatrend
Methods for robust meta-analysis of GAS and GWAS
MIGMA: A mixture transition distribution markov model-based software for biological sequence analysis
multivariate genetic
multivariate-microarrays
On the covariance of regression coefficients
Poisson meta-analysis
powerClust
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PRED-TMBB2
CW-PRED
Statistical Methods for analysis and meta-analysis of microarrays
vizHMM
ΗΜΜ-ΤΜ
membrane proteins
signal peptides
sequence analysis
databases
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Bioinformatics I
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Bioinformatics and the Internet
Biological Databases
Hidden Markov Models and Neural Networks
Homology Modelling
Membrane Proteins
Molecular Graphics
Motifs and Periodicities
Secondary Structure
Sequence Alignment
Structural Classification
Bioinformatics II
1. Perl
2. Genetic code
3. Sequence manipulation
4. Transmembrane proteins
5. Lipoprotein signals
6. Prediction methods
7. Subcellular location
8. Hidden Markov Models
Biological Databases
Biological Sequence Analysis
Biology I
Lab1
Biology II
Lecture2
Lecture3
Genetics
Methodology of Research
Organization of Matter in Life Systems
Special Topics in Biostatistics
Genetic Epidemiology
Hidden Markov Models
Meta-analysis
Tutorial on multivariate meta-analysis
Stata
Presentations
Announcements
A press release from PLoS ONE
Best poster award (HSCBB10)
BMC Genetics paper
Computational scientist
ECCB18
Faculty Position The Johns Hopkins University
HPC Systems Administrator
HuGE Review and meta-analysis: protocol
IntDaMuS
IntDamus
IntDaMuS (2nd call)
IntDaMuS - final results
Invited Lecture
Lectureship in Statistics - Lancaster University
One funded PhD Studentship
PhD positions
PhD student (1)
PhD Student (2)
PhD Studentship in Biostatistics
Postdoc positions
Postdoctoral Research Associate in Applied Statistics and Epidemiology
Postdoctoral Research Associate in Applied Statistics and Epidemiology.
Postdoctoral Research Fellows
Regression Models as a Tool in Medical Research
Research Fellow in Medical Statistics
Senior Research Associate or Research Associate
Tenure Track position in Statistical Genomics
Two PhD Studentships
Two positions for post-doctoral research fellows
Vacancies for Research Personnel
Young Researchers Winter School
ΠΡΟΚΗΡΥΞΗ ΘΕΣΕΩΝ ΓΙΑ ΤΟ ΔΠΜΣ ΠΛΗΡΟΦΟΡΙΚΗ ΚΑΙ ΥΠΟΛΟΓΙΣΤΙΚΗ ΒΙΟΙΑΤΡΙΚΗ
Το ελληνικό παράδοξο στην επιστημονική έρευνα
ΦΕΚ Εργαστηρίου
Conferences
28th European Meeting of Statisticians
33ο ΕΠΙΣΤΗΜΟΝΙΚΟ ΣΥΝΕΔΡΙΟ Ε.Ε.Β.Ε.
6th EMR-IBS conference
EMR2017
HeCrA-HSCBB2016
HSCBB10
HSCBB11
ISCB2010
ISMB/ECCB 2011
SETN12
Society for Clinical Trials Annual Meeting
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Computational resources for membrane proteins
Hidden Markov Models for biological sequence analysis: the JUCHMME package
Meta-analysis of OMICs Data
Prediction of Structure and Function of Proteins
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Computational Genetics Group
Hidden Markov Models and Neural Networks
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