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A novel algorithm to reconstruct phylogenies using gene sequences and expression data
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Matematiska institutionen, Tillämpad matematik och statistik.
Cambridge University.
2014 (engelsk)Inngår i: International Proceedings of Chemical, Biological & Environmental Engineering; Environment, Energy and Biotechnology III, 2014, s. 8-12Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Phylogenies based on single loci should be viewed with caution and the best approach for obtaining robust trees is to examine numerous loci across the genome. It often happens that for the same set of species trees derived from different genes are in conflict between each other. There are several methods that combine information from different genes in order to infer the species tree. One novel approach is to use informationfrom different -omics. Here we describe a phylogenetic method based on an Ornstein–Uhlenbeck process that combines sequence and gene expression data. We test our method on genes belonging to the histidine biosynthetic operon. We found that the method provides interesting insights into selection pressures and adaptive hypotheses concerning gene expression levels.

sted, utgiver, år, opplag, sider
2014. s. 8-12
HSV kategori
Forskningsprogram
Bioinformatik; Matematisk statistik; Statistik
Identifikatorer
URN: urn:nbn:se:uu:diva-235964OAI: oai:DiVA.org:uu-235964DiVA, id: diva2:762640
Konferanse
6th International Conference on Bioinformatics and Biomedical Technology
Merknad

Svenska institutet supported this work through their Östersjösamarbetet scholarship program.

Tilgjengelig fra: 2014-11-12 Laget: 2014-11-12 Sist oppdatert: 2018-01-11

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