scholarly journals Prediction of Stage, Grade, and Survival in Bladder Cancer Using Genome-wide Expression Data: A Validation Study

2010 ◽  
Vol 16 (17) ◽  
pp. 4421-4433 ◽  
Author(s):  
Martin Lauss ◽  
Markus Ringnér ◽  
Mattias Höglund
Keyword(s):  
Bladder Cancer ◽  
Validation Study ◽  
Expression Data ◽  
Genome Wide ◽  
Genome Wide Expression

scholarly journals Use of Genome-Wide Expression Data to Mine the “Gray Zone” of GWA Studies Leads to Novel Candidate Obesity Genes

PLoS Genetics ◽  
2010 ◽  
Vol 6 (6) ◽  
pp. e1000976 ◽  
Author(s):  
Jussi Naukkarinen ◽  
Ida Surakka ◽  
Kirsi H. Pietiläinen ◽  
Aila Rissanen ◽  
Veikko Salomaa ◽  
...  
Keyword(s):  
Expression Data ◽  
Gray Zone ◽  
Genome Wide ◽  
Obesity Genes ◽  
Gwa Studies ◽  
Genome Wide Expression

scholarly journals Stage prediction of embryonic stem cell differentiation from genome-wide expression data

2011 ◽  
Vol 27 (18) ◽  
pp. 2546-2553 ◽  
Author(s):  
Lan Zagar ◽  
Francesca Mulas ◽  
Silvia Garagna ◽  
Maurizio Zuccotti ◽  
Riccardo Bellazzi ◽  
...  
Keyword(s):  
Stem Cell ◽  
Cell Differentiation ◽  
Embryonic Stem Cell ◽  
Embryonic Stem ◽  
Stem Cell Differentiation ◽  
Embryonic Stem Cell Differentiation ◽  
Expression Data ◽  
Genome Wide ◽  
Genome Wide Expression

scholarly journals Viewing RNA-seq data on the entire human genome

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 596 ◽  
Author(s):  
Eric M. Weitz ◽  
Lorena Pantano ◽  
Jingzhi Zhu ◽  
Bennett Upton ◽  
Ben Busby
Keyword(s):  
Web Application ◽  
Source Code ◽  
Gene Expression Omnibus ◽  
Expression Data ◽  
Rna Seq ◽  
Sequence Read Archive ◽  
Data Pipeline ◽  
Genome Wide ◽  
Small Team ◽  
Genome Wide Expression

RNA-Seq Viewer is a web application that enables users to visualize genome-wide expression data from NCBI’s Sequence Read Archive (SRA) and Gene Expression Omnibus (GEO) databases. The application prototype was created by a small team during a three-day hackathon facilitated by NCBI at Brandeis University. The backend data pipeline was developed and deployed on a shared AWS EC2 instance. Source code is available at https://github.com/NCBI-Hackathons/rnaseqview.

scholarly journals Comparative proteomics and global genome-wide expression data implicate role of ARMC8 in lung cancer

2015 ◽  
Vol 16 (9) ◽  
pp. 3691-3696 ◽  
Author(s):  
Asif Amin ◽  
Shoiab Bukhari ◽  
Taseem A Mokhdomi ◽  
Naveed Anjum ◽  
Asrar H Wafai ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Comparative Proteomics ◽  
Expression Data ◽  
Genome Wide ◽  
Genome Wide Expression
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