Literature DB >> 16939788

An introduction to BioArray Software Environment.

Carl Troein1, Johan Vallon-Christersson, Lao H Saal.   

Abstract

BioArray Software Environment (BASE) is a web-based software package for storing, searching, and analyzing locally generated microarray data and information surrounding microarray production. The workflow begins in sample management and, optionally, microtiter plate tracking and ends in visualization and analysis of entire experiments. The relative ease with which new analysis plug-ins can be added has given rise to a plethora of third-party tools, and the licensing terms (GNU GPL) encourage local modifications of the software. This introduction to BASE describes the basics of working with the software, both in general and in more detail for the various parts. It also provides some hints about more advanced usage and a section on what is needed to set up your own BASE server. The information is current as of BASE version 1.2.17b, which was released on November 6, 2005.

Mesh:

Year:  2006        PMID: 16939788     DOI: 10.1016/S0076-6879(06)11007-1

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  7 in total

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2.  The 'PUCE CAFE' Project: the first 15K coffee microarray, a new tool for discovering candidate genes correlated to agronomic and quality traits.

Authors:  Isabelle Privat; Amélie Bardil; Aureliano Bombarely Gomez; Dany Severac; Christelle Dantec; Ivanna Fuentes; Lukas Mueller; Thierry Joët; David Pot; Séverine Foucrier; Stéphane Dussert; Thierry Leroy; Laurent Journot; Alexandre de Kochko; Claudine Campa; Marie-Christine Combes; Philippe Lashermes; Benoit Bertrand
Journal:  BMC Genomics       Date:  2011-01-05       Impact factor: 3.969

3.  The Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine.

Authors:  Lao H Saal; Johan Vallon-Christersson; Jari Häkkinen; Cecilia Hegardt; Dorthe Grabau; Christof Winter; Christian Brueffer; Man-Hung Eric Tang; Christel Reuterswärd; Ralph Schulz; Anna Karlsson; Anna Ehinger; Janne Malina; Jonas Manjer; Martin Malmberg; Christer Larsson; Lisa Rydén; Niklas Loman; Åke Borg
Journal:  Genome Med       Date:  2015-02-02       Impact factor: 11.117

4.  Integrated molecular pathway analysis informs a synergistic combination therapy targeting PTEN/PI3K and EGFR pathways for basal-like breast cancer.

Authors:  Qing-Bai She; Sofia K Gruvberger-Saal; Matthew Maurer; Yilun Chen; Mervi Jumppanen; Tao Su; Meaghan Dendy; Ying-Ka Ingar Lau; Lorenzo Memeo; Hugo M Horlings; Marc J van de Vijver; Jorma Isola; Hanina Hibshoosh; Neal Rosen; Ramon Parsons; Lao H Saal
Journal:  BMC Cancer       Date:  2016-08-02       Impact factor: 4.430

5.  SiPaGene: A new repository for instant online retrieval, sharing and meta-analyses of GeneChip expression data.

Authors:  Adriane Menssen; Götz Edinger; Joachim R Grün; Ulrike Haase; Ria Baumgrass; Andreas Grützkau; Andreas Radbruch; Gerd-R Burmester; Thomas Häupl
Journal:  BMC Genomics       Date:  2009-03-05       Impact factor: 3.969

6.  The PhenoGen informatics website: tools for analyses of complex traits.

Authors:  Sanjiv V Bhave; Cheryl Hornbaker; Tzu L Phang; Laura Saba; Razvan Lapadat; Katherina Kechris; Jeanette Gaydos; Daniel McGoldrick; Andrew Dolbey; Sonia Leach; Brian Soriano; Allison Ellington; Eric Ellington; Kendra Jones; Jonathan Mangion; John K Belknap; Robert W Williams; Lawrence E Hunter; Paula L Hoffman; Boris Tabakoff
Journal:  BMC Genet       Date:  2007-08-30       Impact factor: 2.797

7.  Minimizing inequality in access to precision medicine in breast cancer by real-time population-based molecular analysis in the SCAN-B initiative.

Authors:  L Rydén; N Loman; C Larsson; C Hegardt; J Vallon-Christersson; M Malmberg; H Lindman; A Ehinger; L H Saal; Å Borg
Journal:  Br J Surg       Date:  2018-01       Impact factor: 6.939

  7 in total

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