ATGACGGATGCCGGAATTGGCATGACGGATGCCGGAATTGGCACATAACAAGTACTGCTCGGTCCTTAAGCTGTATTGCACCATATGACGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG

Data Science in Life Sciences

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Abdullah Kahraman

FHNW, School of Life Sciences

Muttenz

Development of computational and machine learning algorithms and implementation of databases for knowledge representation and discovery in the life sciences.

The Data Sciences in Life Sciences team is implementing software and database solutions for various biological, chemical and clinical problems including analysis of cancer OMICs data, alternative splicing, enhancing diagnostic assays, drug development and designing protein and enzyme macromolecules.

Domain(s) of application

Basic research