Literature DB >> 18428687

Analysis of gene-expression data using J-Express.

Anne Kristin Stavrum1, Kjell Petersen, Inge Jonassen, Bjarte Dysvik.   

Abstract

The J-Express package has been designed to facilitate the analysis of microarray data with an emphasis on efficiency, usability, and comprehensibility. The J-Express system provides a powerful and integrated platform for the analysis of microarray gene expression data. It is platform-independent in that it requires only the availability of a Java virtual machine on the system. The system includes a range of analysis tools and a project management system supporting the organization and documentation of an analysis project. This unit describes the J-Express tool, emphasizing central concepts and principles, and gives examples of how it can be used to explore gene expression data sets. Copyright 2008 by John Wiley & Sons, Inc.

Mesh:

Year:  2008        PMID: 18428687     DOI: 10.1002/0471250953.bi0703s21

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  36 in total

1.  Model of tryptophan metabolism, readily scalable using tissue-specific gene expression data.

Authors:  Anne-Kristin Stavrum; Ines Heiland; Stefan Schuster; Pål Puntervoll; Mathias Ziegler
Journal:  J Biol Chem       Date:  2013-10-15       Impact factor: 5.157

2.  Expander: from expression microarrays to networks and functions.

Authors:  Igor Ulitsky; Adi Maron-Katz; Seagull Shavit; Dorit Sagir; Chaim Linhart; Ran Elkon; Amos Tanay; Roded Sharan; Yosef Shiloh; Ron Shamir
Journal:  Nat Protoc       Date:  2010-01-28       Impact factor: 13.491

3.  Differences in proliferative capacity of primary human acute myelogenous leukaemia cells are associated with altered gene expression profiles and can be used for subclassification of patients.

Authors:  H Reikvam; A M Øyan; K H Kalland; R Hovland; K J Hatfield; Ø Bruserud
Journal:  Cell Prolif       Date:  2013-10       Impact factor: 6.831

4.  Age-Dependent Association between Protein Expression of the Embryonic Stem Cell Marker Cripto-1 and Survival of Glioblastoma Patients.

Authors:  Berit B Tysnes; Hege A Satran; Sverre J Mork; Naira V Margaryan; Geir E Eide; Kjell Petersen; Luigi Strizzi; Mary J C Hendrix
Journal:  Transl Oncol       Date:  2013-12-01       Impact factor: 4.243

5.  CrossQuery: a web tool for easy associative querying of transcriptome data.

Authors:  Toni U Wagner; Andreas Fischer; Eva C Thoma; Manfred Schartl
Journal:  PLoS One       Date:  2011-12-12       Impact factor: 3.240

6.  Molecular characterization of the apical organ of the anthozoan Nematostella vectensis.

Authors:  Chiara Sinigaglia; Henriette Busengdal; Avi Lerner; Paola Oliveri; Fabian Rentzsch
Journal:  Dev Biol       Date:  2014-12-03       Impact factor: 3.582

7.  iTRAQ-based proteomics profiling reveals increased metabolic activity and cellular cross-talk in angiogenic compared with invasive glioblastoma phenotype.

Authors:  Uros Rajcevic; Kjell Petersen; Jaco C Knol; Maarten Loos; Sébastien Bougnaud; Oleg Klychnikov; Ka Wan Li; Thang V Pham; Jian Wang; Hrvoje Miletic; Zhao Peng; Rolf Bjerkvig; Connie R Jimenez; Simone P Niclou
Journal:  Mol Cell Proteomics       Date:  2009-08-12       Impact factor: 5.911

8.  Inhibition of Mammalian target of rapamycin in human acute myeloid leukemia cells has diverse effects that depend on the environmental in vitro stress.

Authors:  Anita Ryningen; Håkon Reikvam; Ina Nepstad; Kristin Paulsen Rye; Oystein Bruserud
Journal:  Bone Marrow Res       Date:  2012-10-02

9.  Pharmacological targeting of the PI3K/mTOR pathway alters the release of angioregulatory mediators both from primary human acute myeloid leukemia cells and their neighboring stromal cells.

Authors:  Håkon Reikvam; Ina Nepstad; Øystein Bruserud; Kimberley Joanne Hatfield
Journal:  Oncotarget       Date:  2013-06

10.  Metabolic Serum Profiles for Patients Receiving Allogeneic Stem Cell Transplantation: The Pretransplant Profile Differs for Patients with and without Posttransplant Capillary Leak Syndrome.

Authors:  Håkon Reikvam; Ida-Sofie Grønningsæter; Aymen Bushra Ahmed; Kimberley Hatfield; Øystein Bruserud
Journal:  Dis Markers       Date:  2015-11-02       Impact factor: 3.434

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