Bengt Sennblad

Uppsala University

External website

bengt.sennblad@scilifelab.se

Keywords

Bioinformatics, biostatics, cancer genomics, genetic association studies, genomics, human/clinical data, integrativ omics, Machine learning, Metabolomics, precision medicine, Proteomics, transcriptomics

Key publications

J. Hård, E. Al Hakim, M. Kindblom, Å.K. Björklund, Bengt Sennblad, and (8 further authors). Conbase: A software for unsupervised discovery of clonal somatic mutations in single cells through read phasing. Genome Biology, 20(1), 2019. doi: 10.1186/s13059-019-1673-8.

Björn Grüning, Ryan Dale, Andreas Sjödin,(…123 authors…), Bengt Sennblad, and (40 further authors). Bioconda: sustainable and comprehensive software distribution for the life sciences. Nature Methods, 15(7):475–476, 2018. doi: 10.1038/s41592-018-0046-7.

Mattias Frånberg, Karl Gertow, Anders Hamsten, PROCARDIS Consortium, Jens Lagergren, and Bengt Sennblad. Discovering Genetic Interactions in Large-Scale Association Studies by Stage-wise Likelihood Ratio Tests. PLoS Genetics, 11(9):e1005502, 2015.

Dmitry Shungin, Thomas W Winkler, Damien C Croteau-Chonka, (. . . 157 authors . . . ), Bengt Sennblad, and (68 further authors). New genetic loci link adipose and insulin biology to body fat distribution. Nature, 518(7538):187–196, 2015.

Joel Sjöstrand, Ali Tofigh, Vincent Daubin, Lars Arvestad, Bengt Sennblad, and (1 further authors). A Bayesian Method for Analyzing Lateral Gene Transfer. Systematic Biology, 63(3):409–420, 2014.

Ö Åkerborg, Bengt Sennblad, Lars Arvestad, and Jens Lagergren. Simultaneous Bayesian gene tree reconstruction and reconciliation analysis. Proc. Natl. Acad. Sci. U.S.A., 106(14):5714–5719, 2009.

SciLifeLab / Contact / Bengt Sennblad

Bengt Sennblad

Bengt works as a manager of the NBIS Health and Clinical Support team, which is part of the Support, Infrastructure and Training unit of the SciLifeLab Bioinformatics platform (NBIS). The team provides advanced bioinformatics support and training to Swedish life science, focusing on studies with medical and health-related questions.

We mainly work with human data, including genomics, transcriptomics, proteomics, metabolomics and phenotypic/clinical information. Our work includes consultation and hands-on support in study design, data processing, genetic associations, biomarker identification, cancer genomics, multi-omics integration and machine learning. We are engaged in the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS), by providing bioinformatics support within the DDLS Precision Medicine research area.

For further information about NBIS services and activities, please see https://nbis.se.

Team managers:
Pär Engström
Bengt Sennblad

Previous research experience:
Bengt has a PhD in Biology and an Associate professorship in Computer Science. His previous research span molecular evolution of plants, probabilistic models and algorithms for studying gene family evolution in a multispecies context, analyses and development of new methods in genome-wide association analysis, particularly in relation to cardiovascular disease.

Group Members:
Prasoon Agarwal, LU
Olga Dethlefsen, SU
Sebastian DiLorenzo, UU
Diana Ekman, SU
Payam Emami, SU
Eva Freyhult, UU
Mun-Gwan Hong, SU
Marcin Kierczak, UU
Malin Larsson, LiU
Yuan Li, LU
Julie Lorent, SU
Emilio Mármol-Sánchez, KI
Markus Mayrhofer, UU
Paul Pyl, LU
Ann-Sofi Sandberg, KI
Louella Vasquez, LU