Literature DB >> 16179916

The External RNA Controls Consortium: a progress report.

Shawn C Baker1, Steven R Bauer, Richard P Beyer, James D Brenton, Bud Bromley, John Burrill, Helen Causton, Michael P Conley, Rosalie Elespuru, Michael Fero, Carole Foy, James Fuscoe, Xiaolian Gao, David Lee Gerhold, Patrick Gilles, Federico Goodsaid, Xu Guo, Joe Hackett, Richard D Hockett, Pranvera Ikonomi, Rafael A Irizarry, Ernest S Kawasaki, Tamma Kaysser-Kranich, Kathleen Kerr, Gretchen Kiser, Walter H Koch, Kathy Y Lee, Chunmei Liu, Z Lewis Liu, Anne Lucas, Chitra F Manohar, Garry Miyada, Zora Modrusan, Helen Parkes, Raj K Puri, Laura Reid, Thomas B Ryder, Marc Salit, Raymond R Samaha, Uwe Scherf, Timothy J Sendera, Robert A Setterquist, Leming Shi, Richard Shippy, Jesus V Soriano, Elizabeth A Wagar, Janet A Warrington, Mickey Williams, Frederike Wilmer, Mike Wilson, Paul K Wolber, Xiaoning Wu, Renata Zadro.   

Abstract

Standard controls and best practice guidelines advance acceptance of data from research, preclinical and clinical laboratories by providing a means for evaluating data quality. The External RNA Controls Consortium (ERCC) is developing commonly agreed-upon and tested controls for use in expression assays, a true industry-wide standard control.

Mesh:

Substances:

Year:  2005        PMID: 16179916     DOI: 10.1038/nmeth1005-731

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  142 in total

1.  Normalization of RNA-seq data using factor analysis of control genes or samples.

Authors:  Davide Risso; John Ngai; Terence P Speed; Sandrine Dudoit
Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

2.  The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance.

Authors:  Charles Wang; Binsheng Gong; Pierre R Bushel; Jean Thierry-Mieg; Danielle Thierry-Mieg; Joshua Xu; Hong Fang; Huixiao Hong; Jie Shen; Zhenqiang Su; Joe Meehan; Xiaojin Li; Lu Yang; Haiqing Li; Paweł P Łabaj; David P Kreil; Dalila Megherbi; Stan Gaj; Florian Caiment; Joost van Delft; Jos Kleinjans; Andreas Scherer; Viswanath Devanarayan; Jian Wang; Yong Yang; Hui-Rong Qian; Lee J Lancashire; Marina Bessarabova; Yuri Nikolsky; Cesare Furlanello; Marco Chierici; Davide Albanese; Giuseppe Jurman; Samantha Riccadonna; Michele Filosi; Roberto Visintainer; Ke K Zhang; Jianying Li; Jui-Hua Hsieh; Daniel L Svoboda; James C Fuscoe; Youping Deng; Leming Shi; Richard S Paules; Scott S Auerbach; Weida Tong
Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

Review 3.  Standards affecting the consistency of gene expression arrays in clinical applications.

Authors:  Steven A Enkemann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

Review 4.  The end of the microarray Tower of Babel: will universal standards lead the way?

Authors:  Ernest S Kawasaki
Journal:  J Biomol Tech       Date:  2006-07

5.  The ABRF MARG microarray survey 2005: taking the pulse of the microarray field.

Authors:  Kevin L Knudtson; Herbert Auer; Andrew I Brooks; Chandi Griffin; George Grills; Susan Hester; Gregory Khitrov; Kathryn S Lilley; Aldo Massimi; Jay P Tiesman; Agnes Viale
Journal:  J Biomol Tech       Date:  2006-04

6.  Data quality in genomics and microarrays.

Authors:  Hanlee Ji; Ronald W Davis
Journal:  Nat Biotechnol       Date:  2006-09       Impact factor: 54.908

7.  The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements.

Authors:  Leming Shi; Laura H Reid; Wendell D Jones; Richard Shippy; Janet A Warrington; Shawn C Baker; Patrick J Collins; Francoise de Longueville; Ernest S Kawasaki; Kathleen Y Lee; Yuling Luo; Yongming Andrew Sun; James C Willey; Robert A Setterquist; Gavin M Fischer; Weida Tong; Yvonne P Dragan; David J Dix; Felix W Frueh; Frederico M Goodsaid; Damir Herman; Roderick V Jensen; Charles D Johnson; Edward K Lobenhofer; Raj K Puri; Uwe Schrf; Jean Thierry-Mieg; Charles Wang; Mike Wilson; Paul K Wolber; Lu Zhang; Shashi Amur; Wenjun Bao; Catalin C Barbacioru; Anne Bergstrom Lucas; Vincent Bertholet; Cecilie Boysen; Bud Bromley; Donna Brown; Alan Brunner; Roger Canales; Xiaoxi Megan Cao; Thomas A Cebula; James J Chen; Jing Cheng; Tzu-Ming Chu; Eugene Chudin; John Corson; J Christopher Corton; Lisa J Croner; Christopher Davies; Timothy S Davison; Glenda Delenstarr; Xutao Deng; David Dorris; Aron C Eklund; Xiao-hui Fan; Hong Fang; Stephanie Fulmer-Smentek; James C Fuscoe; Kathryn Gallagher; Weigong Ge; Lei Guo; Xu Guo; Janet Hager; Paul K Haje; Jing Han; Tao Han; Heather C Harbottle; Stephen C Harris; Eli Hatchwell; Craig A Hauser; Susan Hester; Huixiao Hong; Patrick Hurban; Scott A Jackson; Hanlee Ji; Charles R Knight; Winston P Kuo; J Eugene LeClerc; Shawn Levy; Quan-Zhen Li; Chunmei Liu; Ying Liu; Michael J Lombardi; Yunqing Ma; Scott R Magnuson; Botoul Maqsodi; Tim McDaniel; Nan Mei; Ola Myklebost; Baitang Ning; Natalia Novoradovskaya; Michael S Orr; Terry W Osborn; Adam Papallo; Tucker A Patterson; Roger G Perkins; Elizabeth H Peters; Ron Peterson; Kenneth L Philips; P Scott Pine; Lajos Pusztai; Feng Qian; Hongzu Ren; Mitch Rosen; Barry A Rosenzweig; Raymond R Samaha; Mark Schena; Gary P Schroth; Svetlana Shchegrova; Dave D Smith; Frank Staedtler; Zhenqiang Su; Hongmei Sun; Zoltan Szallasi; Zivana Tezak; Danielle Thierry-Mieg; Karol L Thompson; Irina Tikhonova; Yaron Turpaz; Beena Vallanat; Christophe Van; Stephen J Walker; Sue Jane Wang; Yonghong Wang; Russ Wolfinger; Alex Wong; Jie Wu; Chunlin Xiao; Qian Xie; Jun Xu; Wen Yang; Liang Zhang; Sheng Zhong; Yaping Zong; William Slikker
Journal:  Nat Biotechnol       Date:  2006-09       Impact factor: 54.908

8.  A perspective on DNA microarrays in pathology research and practice.

Authors:  Jonathan R Pollack
Journal:  Am J Pathol       Date:  2007-06-28       Impact factor: 4.307

9.  High standards for high dimensional investigations.

Authors:  Ruth R Montgomery
Journal:  Cytometry A       Date:  2016-09-23       Impact factor: 4.355

10.  Evolutionarily engineered ethanologenic yeast detoxifies lignocellulosic biomass conversion inhibitors by reprogrammed pathways.

Authors:  Z Lewis Liu; Menggen Ma; Mingzhou Song
Journal:  Mol Genet Genomics       Date:  2009-06-11       Impact factor: 3.291

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.