Zobrazeno 1 - 10
of 39
pro vyhledávání: '"T. Roehr"'
Publikováno v:
Biology, Vol 1, Iss 3, Pp 895-905 (2012)
Quantitative and systems biology approaches benefit from the unprecedented depth of next-generation sequencing. A typical experiment yields millions of short reads, which oftentimes carry particular sequence tags. These tags may be: (a) specific to t
Externí odkaz:
https://doaj.org/article/5a32e8f1385b41a5945c90a35dbfd28d
Autor:
Christina M Lill, Johannes T Roehr, Matthew B McQueen, Fotini K Kavvoura, Sachin Bagade, Brit-Maren M Schjeide, Leif M Schjeide, Esther Meissner, Ute Zauft, Nicole C Allen, Tian Liu, Marcel Schilling, Kari J Anderson, Gary Beecham, Daniela Berg, Joanna M Biernacka, Alexis Brice, Anita L DeStefano, Chuong B Do, Nicholas Eriksson, Stewart A Factor, Matthew J Farrer, Tatiana Foroud, Thomas Gasser, Taye Hamza, John A Hardy, Peter Heutink, Erin M Hill-Burns, Christine Klein, Jeanne C Latourelle, Demetrius M Maraganore, Eden R Martin, Maria Martinez, Richard H Myers, Michael A Nalls, Nathan Pankratz, Haydeh Payami, Wataru Satake, William K Scott, Manu Sharma, Andrew B Singleton, Kari Stefansson, Tatsushi Toda, Joyce Y Tung, Jeffery Vance, Nick W Wood, Cyrus P Zabetian, andMe Genetic Epidemiology of Parkinson's Disease Consortium, International Parkinson's Disease Genomics Consortium, Parkinson's Disease GWAS Consortium, Wellcome Trust Case Control Consortium 2), Peter Young, Rudolph E Tanzi, Muin J Khoury, Frauke Zipp, Hans Lehrach, John P A Ioannidis, Lars Bertram
Publikováno v:
PLoS Genetics, Vol 8, Iss 3, p e1002548 (2012)
More than 800 published genetic association studies have implicated dozens of potential risk loci in Parkinson's disease (PD). To facilitate the interpretation of these findings, we have created a dedicated online resource, PDGene, that comprehensive
Externí odkaz:
https://doaj.org/article/cfc8c07e05884d89b6a183d737c73b81
Akademický článek
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Autor:
Johannes T. Roehr, Peter N. Robinson, Peter Hansen, Michael A. Gargano, Guy Karlebach, Jonas Ibn-Salem, Jochen Hecht
Publikováno v:
Genes, Vol 10, Iss 7, p 548 (2019)
Genes
Genes
Hi-C, capture Hi-C (CHC) and Capture-C have contributed greatly to our present understanding of the three-dimensional organization of genomes in the context of transcriptional regulation by characterizing the roles of topological associated domains,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adbcb6ddc1386873ab2b2877a597e4ad
http://hdl.handle.net/10230/42350
http://hdl.handle.net/10230/42350
A population genomic scan inChorthippusgrasshoppers unveils previously unknown phenotypic divergence
Publikováno v:
Molecular Ecology. 24:3918-3930
Understanding the genetics of speciation and the processes that drive it is a central goal of evolutionary biology. Grasshoppers of the Chorthippus species group differ strongly in calling song (and corresponding female preferences) but are exceeding
Conference
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Autor:
Antonio R. Parrado, Wai-Ki Yip, Tian Liu, Kristina Mullin, Christoph Lange, Dandi Qiao, Lars Bertram, Alfredo Ramirez, Tim Becker, Oliver Peters, Basavaraj Hooli, Rudolph E. Tanzi, Frank Jessen, Johannes T. Roehr
Publikováno v:
Neurology 83(15), 1353-1358 (2014). doi:10.1212/WNL.0000000000000855
Objectives: Recently, 2 independent studies reported that a rare missense variant, rs75932628 (R47H), in exon 2 of the gene encoding the “triggering receptor expressed on myeloid cells 2” ( TREM2 ) significantly increases the risk of Alzheimer di
Publikováno v:
Bioinformatics (Oxford, England). 33(18)
Motivation High-throughput sequencing machines can process many samples in a single run. For Illumina systems, sequencing reads are barcoded with an additional DNA tag that is contained in the respective sequencing adapters. The recognition of barcod
Autor:
Johannes T. Roehr, Cornelia M. van Duijn, Najaf Amin, Maaike Schuur, Linda Broer, Christina M. Lill, John P. A. Ioannidis, Lars Bertram
Publikováno v:
European Journal of Epidemiology, 28(2), 131-138. Springer Netherlands
European Journal of Epidemiology, 28(2), 131-8. Springer Netherlands
Broer, L, Lill, C M, Schuur, M, Amin, N, Roehr, J T, Bertram, L, Ioannidis, J P A & van Duijn, C M 2013, ' Distinguishing true from false positives in genomic studies : p values ', European Journal of Epidemiology, vol. 28, no. 2, pp. 131-8 . https://doi.org/10.1007/s10654-012-9755-x
European Journal of Epidemiology, 28(2), 131-8. Springer Netherlands
Broer, L, Lill, C M, Schuur, M, Amin, N, Roehr, J T, Bertram, L, Ioannidis, J P A & van Duijn, C M 2013, ' Distinguishing true from false positives in genomic studies : p values ', European Journal of Epidemiology, vol. 28, no. 2, pp. 131-8 . https://doi.org/10.1007/s10654-012-9755-x
Distinguishing true from false positive findings is a major challenge in human genetic epidemiology. Several strategies have been devised to facilitate this, including the positive predictive value (PPV) and a set of epidemiological criteria, known a
Publikováno v:
Biology
Biology, Vol 1, Iss 3, Pp 895-905 (2012)
Biology; Volume 1; Issue 3; Pages: 895-905
Biology, Vol 1, Iss 3, Pp 895-905 (2012)
Biology; Volume 1; Issue 3; Pages: 895-905
Quantitative and systems biology approaches benefit from the unprecedented depth of next-generation sequencing. A typical experiment yields millions of short reads, which oftentimes carry particular sequence tags. These tags may be: (a) specific to t