Rostlab

NLP framework in python for entity recognition and relationship extraction

Text mining of natural language mutations mentions

Prediction of binding site residues in DNA-binding proteins and enzymes

In this project we created the framework that translates natural language to data visualization creation. This project encompasses loading and querying data and creating simple graphs.

Prediction of subnuclear locations

Relation Extraction (RE) of: Proteins <--> Cell Compartments

General-utility scripts that hopefully are useful for somebody

Biomedical Relation Extraction for Transcription Factor and Gene / Gene Products (part of a Master Thesis at Rostlab, TUM)

In this project we will build a web portal for our GoT data analysis and visualization system. The website will integrate all the apps created in projects B-D with the help of the integration team assigned to Project E.

Evolutionary conservation estimation of residues or nucleotides

General repository with instructions and how-to's

The known GoT world is vast and stretches over the three continents of Westeros, Essos and Sothorys. Readers of the Ice and Fire books will get acquainted and transported from King's Landing to the borders of the Seven Kingdoms, and further on across the Narrow Sea. Over two thousand characters mentioned in the books have been associated with mu…

Protein Subcelullar Localization Sequenced-Based Predictor

Repo for general info of the course and communication

A simple JS pssh parser

In this project we will lay the foundations for our system by integrating data from multiple sources into a central database. The database will serve the apps and the visualization tool that will be developed in other projects.

Joffrey Baratheon is one of the most loathed characters in TV history. As a matter of fact people were celebrating his TV death on Twitter. We are interested to learn more on how people feel about different characters by analyzing tweets mentioning GoT characters. In this project you will be analyzing Twitter feeds across a timeline, you will lo…

Game of Thrones characters are always in danger of being eliminated. The challenge in this assignment is to see at what risk are the characters that are still alive of being eliminated. The goal of this project is to rank characters by their Percentage Likelihood of Death (PLOD). You will assign a PLOD using machine learning approaches.

Joffrey Baratheon is one of the most loathed characters in TV history. As a matter of fact people were celebrating his TV death on Twitter. We are interested to learn more on how people feel about different characters by analyzing tweets mentioning GoT characters. In this project you will be analyzing Twitter feeds across a timeline, you will lo…

Game of Thrones characters are always in danger of being eliminated. The challenge in this assignment is to see at what risk are the characters that are still alive of being eliminated. The goal of this project is to rank characters by their Percentage Likelihood of Death (PLOD). You will assign a PLOD using machine learning approaches.

Protein sequenced-based Disorder Predictor

In this project we will put all the apps developed in Projects B, C and D into the website that is developed in Project F. In this project you will pull the code from each project repository, compile it with the set of dependencies and package the apps, so that they can be easily called from the web site developed in project F.