Zobrazeno 1 - 10
of 38
pro vyhledávání: '"K. MICLAUS"'
Autor:
Margherita Francescatto, Fujun Qiu, Jonathan Foox, Cesare Furlanello, Halil Bisgin, Daniel J. Craig, Chia Jung Chang, Kristina Giorda, Tao Chen, Sayed Mohammad Ebrahim Sahraeian, Yulong Li, Simon Cawley, Ying Yu, Zhihong Zhang, Yun-Ching Chen, Zhiguang Li, Dan Li, Vinay K. Mittal, Raymond Miller, Wendell D. Jones, Jianying Li, Marghoob Mohiyuddin, Zhining Wen, Rebecca Kusko, Gunjan Hariani, Yuanting Zheng, James C. Willey, Chen Suo, Todd Richmond, Wenzhong Xiao, Lee Scott Basehore, David P. Kreil, Dong Wang, Yutao Fu, Nikola Tom, Yifan Zhang, Zhichao Liu, Andreas Scherer, Carlos Pabón-Peña, Kira P. Grist, Meijian Guan, Giuseppe Jurman, Leihong Wu, Chang Xu, Katherine Wilkins, Jiyang Zhang, Anne Bergstrom Lucas, Barbara L. Parsons, Mehdi Pirooznia, Daniel Butler, Paweł P. Łabaj, Scott Happe, Marco Chierici, K. Miclaus, Suzy M. Stiegelmeyer, Daniel Burgess, Nathan Haseley, Kevin Lai, Weida Tong, Quan Zhen Li, Pierre R. Bushel, Donald J. Johann, Angela del Pozo, Yingyi Hao, Binsheng Gong, Guangchun Chen, Christopher E. Mason, Natalia Novoradovskaya, Joshua Xu, Tieliu Shi, Mario Solís López, Wenjun Bao, Leming Shi, J. Jasper
Publikováno v:
Genome Biology
Genome Biology, Vol 22, Iss 1, Pp 1-38 (2021)
Genome Biology, Vol 22, Iss 1, Pp 1-38 (2021)
Background Oncopanel genomic testing, which identifies important somatic variants, is increasingly common in medical practice and especially in clinical trials. Currently, there is a paucity of reliable genomic reference samples having a suitably lar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d82f7a7065a20cfa1bf5bc4f2c04d890
http://hdl.handle.net/10138/337999
http://hdl.handle.net/10138/337999
Autor:
Jesse Poland, Eric W. Jackson, K. Miclaus, Russell D. Wolfinger, Roberto J. Peña, Carlos Guzmán, Sarah Battenfield, Ravi P. Singh, Susanne Dreisigacker, Luciano da Costa e Silva, Jaime Sheridan, Allan K. Fritz
Publikováno v:
PLoS ONE
PLoS ONE, Vol 13, Iss 11, p e0204757 (2018)
PLoS ONE, Vol 13, Iss 11, p e0204757 (2018)
One of the biggest challenges for genetic studies on natural or unstructured populations is the unbalanced datasets where individuals are measured at different times and environments. This problem is also common in crop and animal breeding where many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b01adfc3ae2017aad132540ff1a70d8
https://pubmed.ncbi.nlm.nih.gov/30496187
https://pubmed.ncbi.nlm.nih.gov/30496187
Autor:
Ryan H. Brown, Rebekah E. Oliver, Juliet M. Marshall, D. E. Obert, Eric W. Jackson, Stephen A. Harrison, Shiaoman Chao, Amir M. H. Ibrahim, Gerard R. Lazo, Emir Islamovic, Peter J. Maughan, K. Miclaus, An Hang, Eric N. Jellen
Publikováno v:
Field Crops Research. 154:91-99
Plant height and spike length and angle are important agronomic traits in the production of barley ( Hordeum vulgare L.) due to strong correlations with lodging and disease. The objective of this study was to use QTL analysis to identify genetic regi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6ad5725f94e0fe5df1089886da42b29
https://doi.org/10.1016/j.fcr.2013.06.001
https://doi.org/10.1016/j.fcr.2013.06.001
Autor:
Emir Islamovic, K. Miclaus, Juliet M. Marshall, Eric W. Jackson, D. E. Obert, Rebekah E. Oliver, Gongshe Hu, Stephen A. Harrison, Amir M. H. Ibrahim
Publikováno v:
Molecular Breeding. 31:15-25
High beta-glucan (BG) barleys (Hordeum vulgare L.) have major potential as food ingredients due to their well-known health benefits. Quantitative trait loci (QTL) associated with BG have been reported in traditional barley varieties with intermediate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c7ac808b55f58d1d0e9f876b6e75935
https://doi.org/10.1007/s11032-012-9764-1
https://doi.org/10.1007/s11032-012-9764-1
Autor:
Cesare Furlanello, Li Zhang, Christophe G. Lambert, Russell D. Wolfinger, K. Miclaus, Marco Chierici, S. Vega, S. Yin, Federico Goodsaid, Huixiao Hong
Publikováno v:
The Pharmacogenomics Journal. 10:336-346
The Affymetrix GeneChip Human Mapping 500K array is common for genome-wide association studies (GWASs). Recent findings highlight the importance of accurate genotype calling algorithms to reduce the inflation in Type I and Type II error rates. Differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9941047b7c0343d03977b21d76ebbd21
https://doi.org/10.1038/tpj.2010.36
https://doi.org/10.1038/tpj.2010.36
Autor:
S. Vega, Christophe G. Lambert, Federico Goodsaid, Huixiao Hong, Cesare Furlanello, K. Miclaus, Marco Chierici, Russell D. Wolfinger, Lu Zhang, S. Yin
Publikováno v:
The Pharmacogenomics Journal. 10:324-335
The Genome-Wide Association Working Group (GWAWG) is part of a large-scale effort by the MicroArray Quality Consortium (MAQC) to assess the quality of genomic experiments, technologies and analyses for genome-wide association studies (GWASs). One of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23e06972a5e15291d7aab5cee67970d6
https://doi.org/10.1038/tpj.2010.46
https://doi.org/10.1038/tpj.2010.46
Autor:
Russell D. Wolfinger, S. Yin, Federico Goodsaid, Marco Chierici, Huixiao Hong, Lu Zhang, S. Vega, Cesare Furlanello, Christophe G. Lambert, K. Miclaus
Publikováno v:
The Pharmacogenomics Journal. 10:347-354
The robustness of genome-wide association study (GWAS) results depends on the genotyping algorithms used to establish the association. This paper initiated the assessment of the impact of the Corrected Robust Linear Model with Maximum Likelihood Clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d04ef8850a3c681bb169a6eac6cb908c
https://doi.org/10.1038/tpj.2010.27
https://doi.org/10.1038/tpj.2010.27
Autor:
Zhichao Liu, Shujian Wu, Reena Philip, Roderick V. Jensen, Xiao Zeng, Frank W. Samuelson, Wendy Czika, Gene Pennello, Fathi Elloumi, Frank Westermann, Matthew N. McCall, James C. Fuscoe, Yichao Wu, Mauro Delorenzi, Bart Barlogie, Nina Gonzaludo, Li Li, Joel S. Parker, Rong Chen, Zivana Tezak, Jianping Wu, Rafael A. Irizarry, Xijin Ge, Andreas Scherer, Xuejun Peng, Joshua Xu, Stephanie Fulmer-Smentek, Feng Qian, Giuseppe Jurman, Xuegong Zhang, Huixiao Hong, Richard A. Moffitt, Zhen Li, Yiming Zhou, Roberto Visintainer, Dilafruz Juraeva, Damir Herman, Joaquín Dopazo, Federico Goodsaid, Zhenqiang Su, Weiwei Shi, Chang Chang, Aaron Smalter, Mark R. Fielden, Alan H. Roter, Yvonne Kahlert, Junwei Wang, Shao Li, Pierre R. Bushel, Jianying Li, Yiyu Cheng, Matthias Kohl, David Montaner, Darlene R. Goldstein, Qian Xie, Raj K. Puri, Chen Zhao, Richard J. Brennan, Li Zheng, Menglong Li, Anne Bergstrom Lucas, Jun Huan, Zhiguang Li, Jing Han, Brandon D. Gallas, Guozhen Liu, Matthew Woods, Kevin C. Dorff, Danielle Thierry-Mieg, Xiaohui Fan, Wenjun Bao, Lakshmi Vishnuvajjala, Qinglan Sun, George Mulligan, Pan Du, Sadik A. Khuder, Christos Sotiriou, Xutao Deng, John Zhang, Jie Cheng, Charles Wang, Marina Tsyganova, Leming Shi, Sue Jane Wang, Kenneth R. Hess, Nianqing Xiao, Jennifer G. Catalano, Russell S. Thomas, Rong Tang, Frank Staedtler, Wen Luo, David J. Dix, Benedikt Brors, Juergen Von Frese, W. Fraser Symmans, Yang Feng, Lu Meng, Samantha Riccadonna, Gregory Campbell, Charles D. Johnson, John H. Phan, Johan Trygg, Ron L. Peterson, Sheng Zhu, Jie Liu, May D. Wang, Dhivya Arasappan, John D. Shaughnessy, R. Mitchell Parry, Tatiana Nikolskaya, Youping Deng, Stephen C. Harris, Tieliu Shi, Manuel Madera, Jeff W. Chou, Grier P. Page, Baitang Ning, Jian Cui, Liang Zhang, Eric Wang, Russell D. Wolfinger, Venkata Thodima, J. Luo, Min Zhang, Timothy Davison, Sheng Zhong, Guido Steiner, Pei Yi Tan, Yi Ren, Frank Berthold, Padraic Neville, Viswanath Devanarayan, Yaron Turpaz, Ying Liu, Uwe Scherf, Jialu Zhang, Lei Xu, Jennifer Fostel, Shengzhu Si, Christophe G. Lambert, Jianqing Fan, Yanen Li, Rui Jiang, Cesare Furlanello, Zhining Wen, Jianping Huang, Lajos Pusztai, Li Lee, Mat Soukup, Brett T. Thorn, Joseph D. Shambaugh, Hong Fang, S. Vega, Andreas Buness, Todd H. Stokes, Christos Hatzis, Waleed A. Yousef, Lun Yang, Francesca Demichelis, Nathan D. Price, Donald N. Halbert, Qiang Shi, Ignacio Medina, Martin Schumacher, Stephen J. Walker, Wendell D. Jones, Fabien Campagne, Li Guo, James C. Willey, Joseph Meehan, Weigong Ge, Hans Bitter, Max Bylesjö, Jing Cheng, Matthias Fischer, Richard S. Paules, Piali Mukherjee, Jean Thierry-Mieg, Laurent Gatto, Shicai Fan, Roland Eils, Tzu Ming Chu, Yuri Nikolsky, Brian Quanz, André Oberthuer, Simon Lin, Francisco Martinez-Murillo, Damir Dosymbekov, Jaeyun Sung, Minjun Chen, Richard Shippy, Samir Lababidi, Edward K. Lobenhofer, Vlad Popovici, Weida Tong, Quan Zhen Li, Dalila B. Megherbi, Roger Perkins, Wei Wang, K. Miclaus, Richard S. Judson, Weijie Chen
Publikováno v:
Nature Biotechnology. 28:827-838
Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6806d05f1d68b258ce11317a2537a21f
https://doi.org/10.1038/nbt.1665
https://doi.org/10.1038/nbt.1665
Publikováno v:
The Pharmacogenomics Journal. 10:355-363
The discordance in results between independent genome-wide association studies (GWAS) indicates the potential for Type I and Type II errors. To identify the causes of variability underlying lack of reproducibility, here we present the results of a re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8663c3817e39b3f84d32e623ef7515a4
https://doi.org/10.1038/tpj.2010.47
https://doi.org/10.1038/tpj.2010.47
Autor:
Baitang Ning, Hong Fang, Federico Goodsaid, Bridgett Green, S. Vega, Cesare Furlanello, Jun Zhang, Wendy Czika, Zhenqiang Su, Wendell D. Jones, Weida Tong, Simon Lin, Lei Xu, Roger Perkins, T. Ahn, Leming Shi, K. Miclaus, Christophe G. Lambert, Kyunghee Park, Jie Liu, W. Ge, Huixiao Hong, Nadereh Jafari, Lu Zhang, Russell D. Wolfinger, Marco Chierici
Publikováno v:
The Pharmacogenomics Journal
The discordance in results of independent genome-wide association studies (GWAS) indicates the potential for Type I and Type II errors. We assessed the repeatibility of current Affymetrix technologies that support GWAS. Reasonable reproducibility was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8671bde03e19ba86992b1dd0b13f33bb
https://doi.org/10.1038/tpj.2010.24
https://doi.org/10.1038/tpj.2010.24