Breast Cancer Research | Article collections | RECOMB CCB

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RECOMB CCB

Edited by: Igor Jurisica

Collection published: 26 April 2011

Last updated: 24 May 2011

		Research article Linear and non-linear dependencies between copy number aberrations and mRNA expression reveal distinct molecular pathways in breast cancer Hiroko K Solvang, Ole Lingjærde, Arnoldo Frigessi, Anne-Lise Børresen-Dale, Vessela N Kristensen BMC Bioinformatics 2011, 12:197 (24 May 2011) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central
		Editorial Cancer computational biology Zohar Yakhini, Igor Jurisica BMC Bioinformatics 2011, 12:120 (26 April 2011) Abstract \| Full text \| PDF \| PubMed
		Research article Detection of recurrent rearrangement breakpoints from copy number data Anna Ritz, Pamela L Paris, Michael M Ittmann, Colin Collins, Benjamin J Raphael BMC Bioinformatics 2011, 12:114 (21 April 2011) Abstract \| Full text \| PDF \| PubMed
		Methodology article Extending pathways and processes using molecular interaction networks to analyse cancer genome data Enrico Glaab, Anaïs Baudot, Natalio Krasnogor, Alfonso Valencia BMC Bioinformatics 2010, 11:597 (13 December 2010) Abstract \| Full text \| PDF \| PubMed
		Research article PETALS: Proteomic Evaluation and Topological Analysis of a mutated Locus' Signaling Gurkan Bebek, Vishal Patel, Mark R Chance BMC Bioinformatics 2010, 11:596 (13 December 2010) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary The PETALS pipeline integrates mutational, microarray and proteomic data to identify signaling pathways which connect a central cancer-related gene to a network of other cancer-driven genes, linking models of upstream genetic interference with downstream effects.