Genome Biology

official impact factor 6.89

Open Access

Analysis of strain and regional variation in gene expression in mouse brain

Paul Pavlidis* and William S Noble

Genome Biology 2001, 2:research0042-research0042.15 doi:10.1186/gb-2001-2-10-research0042

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BioMed Central: 16 citations

Research article   Open Access

The CRE1 carbon catabolite repressor of the fungus Trichoderma reesei: a master regulator of carbon assimilation

Thomas Portnoy, Antoine Margeot, Rita Linke, Lea Atanasova, Erzsébet Fekete, Erzsébet Sándor, Lukas Hartl, Levente Karaffa, Irina S Druzhinina, Bernhard Seiboth, Stéphane Le Crom, Christian P Kubicek BMC Genomics 2011, 12:269 (27 May 2011)

Research   Open Access

Data recovery and integration from public databases uncovers transformation-specific transcriptional downregulation of cAMP-PKA pathway-encoding genes

Chiara Balestrieri, Lilia Alberghina, Marco Vanoni, Ferdinando Chiaradonna BMC Bioinformatics 2009, 10(Suppl 12):S1-S17 (15 October 2009)

Research article   Open Access

Phylogenetic and genomic diversity of human bacteremic Escherichia coli strains

Françoise Jaureguy, Luce Landraud, Virginie Passet, Laure Diancourt, Eric Frapy, Ghislaine Guigon, Etienne Carbonnelle, Olivier Lortholary, Olivier Clermont, Erick Denamur, Bertrand Picard, Xavier Nassif, Sylvain Brisse BMC Genomics 2008, 9:560 (26 November 2008)

Research article   Open Access

Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems

Yu-Shuen Tsai, Chin-Teng Lin, George C Tseng, I-Fang Chung, Nikhil Pal BMC Bioinformatics 2008, 9:425 (9 October 2008)

Research   Open Access Highly Accessed

A weighted average difference method for detecting differentially expressed genes from microarray data

Koji Kadota, Yuji Nakai, Kentaro Shimizu Algorithms for Molecular Biology 2008, 3:8 (26 June 2008)

Research article   Open Access Highly Accessed

Exon and junction microarrays detect widespread mouse strain- and sex-bias expression differences

Wan-Lin Su, Barmak Modrek, Debraj GuhaThakurta, Stephen Edwards, Jyoti K Shah, Amit V Kulkarni, Archie Russell, Eric E Schadt, Jason M Johnson, John C Castle BMC Genomics 2008, 9:273 (4 June 2008)

Method   Open Access Highly Accessed

Quantitative methods for genome-scale analysis of in situ hybridization and correlation with microarray data

Chang-Kyu Lee, Susan M Sunkin, Chihchau Kuan, Carol L Thompson, Sayan Pathak, Lydia Ng, Chris Lau, Shanna Fischer, Marty Mortrud, Cliff Slaughterbeck, Allan Jones, Ed Lein, Michael Hawrylycz Genome Biology 2008, 9:R23 (30 January 2008)

This study introduces a novel method for standardized relative quantification of colorimetric in situ hybridization signal that enables a large-scale cross-platform expression level comparison of in situ hybridization with two publicly available microarray brain data sources.

Methodology article   Open Access

Post hoc pattern matching: assigning significance to statistically defined expression patterns in single channel microarray data

Randall Hulshizer, Eric M Blalock BMC Bioinformatics 2007, 8:240 (5 July 2007)

Research article   Open Access Highly Accessed

Gene expression profiles in rat brain disclose CNS signature genes and regional patterns of functional specialisation

Christine Stansberg, Audun Vik-Mo, Rita Holdhus, Harald Breilid, Boleslaw Srebro, Kjell Petersen, Hugo A Jørgensen, Inge Jonassen, Vidar M Steen BMC Genomics 2007, 8:94 (4 April 2007)

Research article   Open Access Highly Accessed

Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data

Ian B Jeffery, Desmond G Higgins, Aedín C Culhane BMC Bioinformatics 2006, 7:359 (26 July 2006)

Research article   Open Access

Gene expression profiling in the striatum of inbred mouse strains with distinct opioid-related phenotypes

Michal Korostynski, Dorota Kaminska-Chowaniec, Marcin Piechota, Ryszard Przewlocki BMC Genomics 2006, 7:146 (13 June 2006)

Research article   Open Access Highly Accessed

ROKU: a novel method for identification of tissue-specific genes

Koji Kadota, Jiazhen Ye, Yuji Nakai, Tohru Terada, Kentaro Shimizu BMC Bioinformatics 2006, 7:294 (12 June 2006)

Database   Open Access Highly Accessed

An online database for brain disease research

Brandon W Higgs, Michael Elashoff, Sam Richman, Beata Barci BMC Genomics 2006, 7:70 (4 April 2006)

The Stanley Medical Research Institute online genomics database presents a web-based system for searching clinical and microarray data from studies into brain disorders such as schizophrenia, bipolar disorder and depression.

Methodology article   Open Access

Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds

Rainer Breitling, Patrick Armengaud, Anna Amtmann BMC Bioinformatics 2005, 6:181 (19 July 2005)

Research article   Open Access

Gene expression variation between mouse inbred strains

Rolf Turk, Peter AC 't Hoen, Ellen Sterrenburg, Renée X de Menezes, Emile J de Meijer, Judith M Boer, Gert-Jan B van Ommen, Johan T den Dunnen BMC Genomics 2004, 5:57 (18 August 2004)

Deposited research article   Free Highly Accessed

Microarray data analysis: a practical approach for selecting differentially expressed genes

David M Mutch, Alvin Berger, Robert Mansourian, Andreas Rytz, Matthew-Alan Roberts Genome Biology 2001, 2:preprint0009-preprint0009.29 (16 November 2001)

A new method for extracting differentially expressed genes across any number of experimental samples by evaluating the maximum fold change across all experimental conditions and all absolute expression levels has been tested using expression data from livers of mice in a nutritional experiment.