Name: Onur Serçinoğlu
Type: User
Company: Gebze Technical University
Bio: Assistant Professor of Bioengineering at GTU, Kocaeli, Turkey.
Twitter: onursercin
Location: Gebze, Kocaeli, Turkey
Blog: http://www.systemsbiology.info.tr/people/staff/onur_sercinoglu.html
Onur Serçinoğlu's Projects
Calculation of interatomic interactions in molecular structures
This repository is intended to store course material for BSB511 - Bioinformatics Fundamentals, a graduate-level course taught at GTU Bioinformatics and Systems Biology Graduate Program.
The home of Computational Structural Biology Research Group led by Dr. Onur Serçinoğlu at GTU Bioengineering Department
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
The Leek group guide to data sharing
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
Coarse-grained Normal Mode Analysis software
This repository contains the pipeline for running the frustratometer software
Github for files currently published in the IMGT/HLA FTP Directory hosted at the European Bioinformatics Institute
Perturbation based Allosteric Pathway Finder
A modern, open library for the analysis of molecular dynamics trajectories
Python code for Machine Learning course from Coursera
Python 3 IDE
Set of utility scripts to manipulate PDB files
Take a PDB file and spit out protein sequence in 3 or 1 letter format
A set of tools for manipulating and doing calculations on wwPDB macromolecule structure files
Tool(s) for cleaning, munging and analysing PDB files for structural bioinformatics analysis.
Repository for Programming Assignment 2 for R Programming on Coursera
A python implementation of the Statistical Coupling Analysis (SCA)
Python library to run structure based model (SBM) simulations using the OpenMM toolkit
A script to measure and limit CPU time and memory consumption of black-box processes in Linux