BMC Genomics

official impact factor 4.21

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A comparison of massively parallel nucleotide sequencing with oligonucleotide microarrays for global transcription profiling

James R Bradford, Yvonne Hey, Tim Yates, Yaoyong Li, Stuart D Pepper and Crispin J Miller*

BMC Genomics 2010, 11:282 doi:10.1186/1471-2164-11-282

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Methodology article   Open Access Highly Accessed

Construction and evaluation of a whole genome microarray of Chlamydomonas reinhardtii

Jörg Toepel, Stefan P Albaum, Samuel Arvidsson, Alexander Goesmann, Marco la Russa, Kristin Rogge, Olaf Kruse BMC Genomics 2011, 12:579 (25 November 2011)

Research article   Open Access Highly Accessed

Nutrigenomics in honey bees: digital gene expression analysis of pollen's nutritive effects on healthy and varroa-parasitized bees

Cédric Alaux, Christelle Dantec, Hughes Parrinello, Yves Le Conte BMC Genomics 2011, 12:496 (10 October 2011)

Research article   Open Access Highly Accessed

Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis

Franc Llorens, Manuela Hummel, Xavier Pastor, Anna Ferrer, Raquel Pluvinet, Ana Vivancos, Ester Castillo, Susana Iraola, Ana M Mosquera, Eva González, Juanjo Lozano, Matthew Ingham, Juliane C Dohm, Marc Noguera, Robert Kofler, Jose del Río, Mònica Bayés, Heinz Himmelbauer, Lauro Sumoy BMC Genomics 2011, 12:326 (23 June 2011)

Review   Open Access Highly Accessed

Microarrays, deep sequencing and the true measure of the transcriptome

John H Malone, Brian Oliver BMC Biology 2011, 9:34 (31 May 2011)

Global measures of gene expression can now be extracted either from microarrays or from RNA-seq, which do not always seem to give the same answer. Malone and Oliver review the advantages and limitations of each and conclude that, with some important exceptions, they tell the same story.

Software   Open Access Highly Accessed

rnaSeqMap: a Bioconductor package for RNA sequencing data exploration

Anna Leśniewska, Michał J Okoniewski BMC Bioinformatics 2011, 12:200 (25 May 2011)