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Computational studies of biological sequences

Tore Samuelsson

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A huge amount of sequence information is being generated world-wide as part of projects to sequence genomes and transcriptomes of a large number of organisms. This information is a highly valuable source of information to exploit fundamental biological processes such as gene function, transcriptional regulation and molecular evolution. Comparative genomics is a science where genomic features of different organisms are compared. It is used to better understand the evolution of genomes and is also useful in many computational methods, such as prediction of gene structure, prediction of non-coding RNAs and prediction of regulatory sites in the genome.

We are using comparative genomics and DNA and protein sequence analysis to examine the structure, function and evolution of protein genes as well as non-coding RNA (ncRNA) genes. The evolution of proteins is being studied in a number of projects where we make use of tools such as gene prediction, profile-based searches and methods of phylogenetic analysis. We have developed methods to effectively identify ncRNAs in genomic sequences and have applied these methods on a large number of ncRNA families.


Academic textbooks authored by Tore Samuelsson

Genomics and Bioinformatics - An Introduction to Programming Tools for Life Scientists Cambridge University Press (2012).

The Human Genome in Health and Disease - A Story of Four Letters. CRC Press / Garland Science (in press 2018).


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Sidansvarig: Dan Baeckström|Sidan uppdaterades: 2018-08-15

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