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	1. 222653 Accesses	Research Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes Jo Vandesompele, Katleen De Preter, Filip Pattyn, Bruce Poppe, Nadine Van Roy, Anne De Paepe, Frank Speleman Genome Biology 2002, 3:research0034-research0034.11 (18 June 2002) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| 2 comments \| Editor’s summary Using real-time reverse transcription PCR ten housekeeping genes from different abundance and functional classes in various human tissues were evaluated. The conventional use of a single gene for normalization leads to relatively large errors in a significant proportion of samples tested.
	2. 153567 Accesses	Comment A Faustian bargain Gregory A Petsko Genome Biology 2010, 11:138 (31 October 2010) Full text \| PDF \| PubMed \| Cited on BioMed Central \| 1 comment \| Editor’s summary An open letter to George M Philip, President of the State University of New York At Albany.
	3. 121639 Accesses	Software Ultrafast and memory-efficient alignment of short DNA sequences to the human genome Ben Langmead, Cole Trapnell, Mihai Pop, Steven L Salzberg Genome Biology 2009, 10:R25 (4 March 2009) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary Bowtie: a new ultrafast memory-efficient tool for the alignment of short DNA sequence reads to large genomes.
	4. 93473 Accesses	Method Bioconductor: open software development for computational biology and bioinformatics Robert C Gentleman, Vincent J Carey, Douglas M Bates, Ben Bolstad, Marcel Dettling, Sandrine Dudoit, Byron Ellis, Laurent Gautier, Yongchao Ge, Jeff Gentry, Kurt Hornik, Torsten Hothorn, Wolfgang Huber, Stefano Iacus, Rafael Irizarry, Friedrich Leisch, Cheng Li, Martin Maechler, Anthony J Rossini, Gunther Sawitzki, Colin Smith, Gordon Smyth, Luke Tierney, Jean YH Yang, Jianhua Zhang Genome Biology 2004, 5:R80 (15 September 2004) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary A detailed description of the aims and methods of the Bioconductor project, an initiative for the collaborative creation of extensible software for computational biology and bioinformatics.
	5. 83159 Accesses	Method Differential expression analysis for sequence count data Simon Anders, Wolfgang Huber Genome Biology 2010, 11:R106 (27 October 2010) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| 1 comment \| f1000 \| Editor’s summary DEseq allows the determination of differential expression of read count data from RNA-seq or ChIP-seq experiments
	6. 77044 Accesses	Research Evaluation of next generation sequencing platforms for population targeted sequencing studies Olivier Harismendy, Pauline C Ng, Robert L Strausberg, Xiaoyun Wang, Timothy B Stockwell, Karen Y Beeson, Nicholas J Schork, Sarah S Murray, Eric J Topol, Samuel Levy, Kelly A Frazer Genome Biology 2009, 10:R32 (27 March 2009) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| f1000 \| Editor’s summary Human sequence generated from three next-generation sequencing platforms reveals systematic variability in sequence coverage due to local sequence characteristics.
	7. 76903 Accesses	Software CellProfiler: image analysis software for identifying and quantifying cell phenotypes Anne E Carpenter, Thouis R Jones, Michael R Lamprecht, Colin Clarke, In Kang, Ola Friman, David A Guertin, Joo Chang, Robert A Lindquist, Jason Moffat, Polina Golland, David M Sabatini Genome Biology 2006, 7:R100 (31 October 2006) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary CellProfiler, the first free, open-source system for flexible and high-throughput cell image analysis is described.
	8. 65564 Accesses	Method A scaling normalization method for differential expression analysis of RNA-seq data Mark D Robinson, Alicia Oshlack Genome Biology 2010, 11:R25 (2 March 2010) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary A novel and empirical method for normalization of RNA-seq data is presented
	9. 63860 Accesses	Opinion Categorization of humans in biomedical research: genes, race and disease Neil Risch, Esteban Burchard, Elad Ziv, Hua Tang Genome Biology 2002, 3:comment2007-comment2007.12 (1 July 2002) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary A debate has arisen regarding the validity of racial/ethnic categories for biomedical and genetic research. An epidemiologic perspective on the issue of human categorization in biomedical and genetic research strongly supports the continued use of self-identified race and ethnicity.
	10. 61886 Accesses	Review From RNA-seq reads to differential expression results Alicia Oshlack, Mark D Robinson, Matthew D Young Genome Biology 2010, 11:220 (22 December 2010) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary Many methods and tools are available for preprocessing high-throughput RNA sequencing data and detecting differential expression.
	11. 56384 Accesses	Method Model-based Analysis of ChIP-Seq (MACS) Yong Zhang, Tao Liu, Clifford A Meyer, Jérôme Eeckhoute, David S Johnson, Bradley E Bernstein, Chad Nusbaum, Richard M Myers, Myles Brown, Wei Li, X Shirley Liu Genome Biology 2008, 9:R137 (17 September 2008) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary MACS performs model-based analysis of ChIP-Seq data generated by short read sequencers.
	12. 55968 Accesses	Research The human olfactory receptor repertoire Sergey Zozulya, Fernando Echeverri, Trieu Nguyen Genome Biology 2001, 2:research0018-research0018.12 (1 June 2001) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary The identification and cloning of 347 putative human full-length odorant receptor genes is an important initial step in understanding receptor-ligand specificity and combinatorial encoding of odorant stimuli in human olfaction.
	13. 52228 Accesses	Research MicroRNA targets in Drosophila Anton J Enright, Bino John, Ulrike Gaul, Thomas Tuschl, Chris Sander, Debora S Marks Genome Biology 2003, 5:R1 (12 December 2003) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| f1000 \| Editor’s summary A computational method for whole-genome prediction of microRNA target genes is presented. Application of this method to the Drosophila melanogaster, Drosophila pseudoobscura and Anopheles gambiae genomes identifies several hundred target genes potentially regulated by one or more known microRNAs.
	14. 47032 Accesses	Review Overview of the voltage-gated sodium channel family Frank H Yu, William A Catterall Genome Biology 2003, 4:207 (24 February 2003) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary Different sodium channels have remarkably similar functional properties, but small changes in sodium-channel function are biologically relevant, as underscored by mutations that cause several human diseases of hyperexcitability.
	15. 48824 Accesses	Research 'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns Trevor Hastie, Robert Tibshirani, Michael B Eisen, Ash Alizadeh, Ronald Levy, Louis Staudt, Wing C Chan, David Botstein, Patrick Brown Genome Biology 2000, 1:research0003-research0003.21 (4 August 2000) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary A statistical method called 'gene shaving' can be used to analyze data from large gene expression studies. The method identifies subsets of genes with coherent expression patterns and large variation across conditions. Gene expression measurements made on samples from patients with diffuse large B-cell lymphoma were analyzed using the gene shaving method. A small cluster of genes whose expression is highly predictive of survival was identified.
	16. 46161 Accesses	Research The transposable elements of the Drosophila melanogaster euchromatin: a genomics perspective Joshua S Kaminker, Casey M Bergman, Brent Kronmiller, Joseph Carlson, Robert Svirskas, Sandeep Patel, Erwin Frise, David A Wheeler, Suzanna E Lewis, Gerald M Rubin, Michael Ashburner, Susan E Celniker Genome Biology 2002, 3:research0084-0084.20 (23 December 2002) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary Using Release 3 of the euchromatic genomic sequence of Drosophila melanogaster, 85 known and eight novel families of transposable element have been identified, varying in copy number from one to 146. A total of 1,572 full and partial transposable elements were identified, comprising 3.86% of the sequence.
	17. 45671 Accesses	Review A tale of histone modifications Patrick A Grant Genome Biology 2001, 2:reviews0003-reviews0003.6 (5 April 2001) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary The modification of chromatin structure is important for a number of nuclear functions, exemplified by the regulation of transcription. This review discusses recent studies of covalent histone modifications and the enzymatic machines that generate them.
	18. 44916 Accesses	Review Statistical tests for differential expression in cDNA microarray experiments Xiangqin Cui, Gary A Churchill Genome Biology 2003, 4:210 (17 March 2003) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary The simplest statistical method for extracting biological information from microarray data is the t test. Analysis of variance (ANOVA) and the mixed ANOVA model are general and powerful approaches for more complex microarray experiments.
	19. 44528 Accesses	Protein family review Fibroblast growth factors David M Ornitz, Nobuyuki Itoh Genome Biology 2001, 2:reviews3005-reviews3005.12 (9 March 2001) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary Fibroblast growth factors (FGFs) are a large family of peptide growth factors that require heparan sulfate to activate their tyrosine kinase receptors. They have diverse roles in development, regulating proliferation, migration and differentiation. In adult animals, FGFs are important for homeostasis and tissue repair.
	20. 44514 Accesses	Method Improving RNA-Seq expression estimates by correcting for fragment bias Adam Roberts, Cole Trapnell, Julie Donaghey, John L Rinn, Lior Pachter Genome Biology 2011, 12:R22 (16 March 2011) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary An extension to Cufflinks corrects bias in RNA-seq datasets
	21. 44231 Accesses	Research Deciphering cellular states of innate tumor drug responses Esther Graudens, Virginie Boulanger, Cindy Mollard, Régine Mariage-Samson, Xavier Barlet, Guilaine Grémy, Christine Couillault, Malika Lajémi, Dominique Piatier-Tonneau, Patrick Zaborski, Eric Eveno, Charles Auffray, Sandrine Imbeaud Genome Biology 2006, 7:R19 (15 March 2006) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary Nearly 700 genes were identified that are differently expressed between tumors of patients with colorectal cancer who subsequently responded well to combined chemotherapy and those of patients who were resistant to the therapy.
	22. 43966 Accesses	Research Genomic transcriptional response to loss of chromosomal supercoiling in Escherichia coli Brian J Peter, Javier Arsuaga, Adam M Breier, Arkady B Khodursky, Patrick O Brown, Nicholas R Cozzarelli Genome Biology 2004, 5:R87 (1 November 2004) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| f1000 \| Editor’s summary Microarray analysis shows that transcription of 306 E. Coli genes is affected by changes in the level of chromosome supercoiling, suggesting that supercoiling transmits regulatory signals from the environment to many cellular pathways.
	23. 43015 Accesses	Research The draft genome and transcriptome of Cannabis sativa Harm van Bakel, Jake M Stout, Atina G Cote, Carling M Tallon, Andrew G Sharpe, Timothy R Hughes, Jonathan E Page Genome Biology 2011, 12:R102 (20 October 2011) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| 1 comment \| f1000 \| Editor’s summary The genome and transcriptome of marijuana, and comparative analysis with resequenced hemp, explains the genetic basis of psychoactivity
	24. 42130 Accesses	Software GOToolBox: functional analysis of gene datasets based on Gene Ontology David Martin, Christine Brun, Elisabeth Remy, Pierre Mouren, Denis Thieffry, Bernard Jacq Genome Biology 2004, 5:R101 (26 November 2004) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary Tools are presented to identify Gene Ontology terms that are over- or under-represented in a dataset, to cluster genes by function and to find genes with similar annotations.
	25. 39801 Accesses	Method qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data Jan Hellemans, Geert Mortier, Anne De Paepe, Frank Speleman, Jo Vandesompele Genome Biology 2007, 8:R19 (9 February 2007) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| 1 comment \| Editor’s summary qBase, a free program for the management and automated analysis of qPCR data, is described