Our vision is to enhance medical and health research with AI - aiming for a future without diseases.
Currently we are in a finding phase: studying, watching the current progress in AI and Biotech, whereas constantly having eyes open on new opportunities and ideas. This project was originally developed in context of the Bioinformatics programming course 2024. Main contributors were Hunor Frey, Sean Ladewig, Ingmar Lesch and Moritz Rothhaar. Special thanks for all the support of supervisors Evi Berchtold, Caroline Friedel, Volker Heun, Markus Joppich, Felix Offensperger, Ralf Zimmer and all other Tutors. Here you can read more about Bioinformatics in Munich.
Sequence alignment is a computational technique employed to compare and identify similarities between biological sequences, such as DNA, RNA, or protein sequences. By aligning sequences, researchers can infer evolutionary relationships, detect conserved regions, and identify functional motifs. Understanding sequence alignment is fundamental for various applications in bioinformatics, including genome annotation, phylogenetic analysis, and protein structure prediction. Predicting sequence alignment aids in deciphering genetic variations, designing experiments, and understanding the molecular basis of diseases.
Protein secondary structure prediction is a computational method used to forecast the local structural elements within a protein sequence, such as alpha-helices, beta-strands, and turns. Understanding protein secondary structure is crucial for elucidating protein function, folding, and interactions. Predicting secondary structure aids in protein engineering, drug design, and understanding disease mechanisms.
Here you can see the results of a cross-validation we performed.
We've crafted a variety of smaller utilities to complement our main offerings. Feel free to discover and utilize them:
2024-04-23: The recent server infrastructure doesnt support python, so we cant provide these programs at the moment.
The bioinformatic workbench supports a variety of file formats including FASTA, PDB, DB, and ALI. These formats are commonly used in bioinformatics for storing biological sequence and structural data. Please inform yourself on the specifications before entering any data.
Sequence alignment is a fundamental technique in bioinformatics used to identify similarities between biological sequences, such as DNA, RNA, or protein sequences. GOR, or Garnier-Osguthorpe-Robson method, is a widely used algorithm for predicting secondary structures of proteins based on sequence data. It utilizes statistical methods to predict regions of alpha-helices, beta-strands, and coils within a protein sequence.
Yes, the bioinformatic workbench also provides smaller tools for different types of analysis, allowing users to study the evolutionary relationships between different biological sequences.
Absolutely not! The workbench's concept is to keep it as simple and user-friendly as possible. The only thing you need is a working browser to access this webpage. All the computational intense tasks are run externally.
Bugs, errors and questions? Just write an E-Mail
