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Jonas Behr

Explore the profile of Jonas Behr including associated specialties, affiliations and a list of published articles. Areas
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Articles 12
Citations 777
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Recent Articles
1.
Dimitrakopoulos C, Hindupur S, Colombi M, Liko D, Ng C, Piscuoglio S, et al.
BMC Genomics . 2021 Aug; 22(1):592. PMID: 34348664
Background: Genetic aberrations in hepatocellular carcinoma (HCC) are well known, but the functional consequences of such aberrations remain poorly understood. Results: Here, we explored the effect of defined genetic changes...
2.
Kuipers J, Thurnherr T, Moffa G, Suter P, Behr J, Goosen R, et al.
Nat Commun . 2018 Oct; 9(1):4353. PMID: 30341300
Large-scale genomic data highlight the complexity and diversity of the molecular changes that drive cancer progression. Statistical analysis of cancer data from different tissues can guide drug repositioning as well...
3.
Dimitrakopoulos C, Hindupur S, Hafliger L, Behr J, Montazeri H, Hall M, et al.
Bioinformatics . 2018 Mar; 34(14):2441-2448. PMID: 29547932
Motivation: Several molecular events are known to be cancer-related, including genomic aberrations, hypermethylation of gene promoter regions and differential expression of microRNAs. These aberration events are very heterogeneous across tumors...
4.
Hofmann A, Behr J, Singer J, Kuipers J, Beisel C, Schraml P, et al.
BMC Bioinformatics . 2017 Jan; 18(1):8. PMID: 28049408
Background: Next-generation sequencing of matched tumor and normal biopsy pairs has become a technology of paramount importance for precision cancer treatment. Sequencing costs have dropped tremendously, allowing the sequencing of...
5.
Hartmann L, Drewe-Boss P, Wiessner T, Wagner G, Geue S, Lee H, et al.
Plant Cell . 2016 Nov; 28(11):2715-2734. PMID: 27803310
Plants use light as source of energy and information to detect diurnal rhythms and seasonal changes. Sensing changing light conditions is critical to adjust plant metabolism and to initiate developmental...
6.
Kahles A, Behr J, Ratsch G
Bioinformatics . 2015 Nov; 32(5):770-2. PMID: 26519503
Motivation: Mapping high-throughput sequencing data to a reference genome is an essential step for most analysis pipelines aiming at the computational analysis of genome and transcriptome sequencing data. Breaking ties...
7.
Drechsel G, Kahles A, Kesarwani A, Stauffer E, Behr J, Drewe P, et al.
Plant Cell . 2013 Oct; 25(10):3726-42. PMID: 24163313
The nonsense-mediated decay (NMD) surveillance pathway can recognize erroneous transcripts and physiological mRNAs, such as precursor mRNA alternative splicing (AS) variants. Currently, information on the global extent of coupled AS...
8.
Behr J, Kahles A, Zhong Y, Sreedharan V, Drewe P, Ratsch G
Bioinformatics . 2013 Aug; 29(20):2529-38. PMID: 23980025
Motivation: High-throughput sequencing of mRNA (RNA-Seq) has led to tremendous improvements in the detection of expressed genes and reconstruction of RNA transcripts. However, the extensive dynamic range of gene expression,...
9.
Gan X, Stegle O, Behr J, Steffen J, Drewe P, Hildebrand K, et al.
Nature . 2011 Aug; 477(7365):419-23. PMID: 21874022
Genetic differences between Arabidopsis thaliana accessions underlie the plant's extensive phenotypic variation, and until now these have been interpreted largely in the context of the annotated reference accession Col-0. Here...
10.
Schweikert G, Zien A, Zeller G, Behr J, Dieterich C, Ong C, et al.
Genome Res . 2009 Jul; 19(11):2133-43. PMID: 19564452
We present a highly accurate gene-prediction system for eukaryotic genomes, called mGene. It combines in an unprecedented manner the flexibility of generalized hidden Markov models (gHMMs) with the predictive power...