BMC Genetics

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G2D: a tool for mining genes associated with disease

Carolina Perez-Iratxeta*, Matthias Wjst, Peer Bork and Miguel A Andrade

BMC Genetics 2005, 6:45 doi:10.1186/1471-2156-6-45

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BioMed Central: 9 citations

Research   Open Access

Elucidating the identity of resistance mechanisms to prednisolone exposure in acute lymphoblastic leukemia cells through transcriptomic analysis: A computational approach

Emmanouil G Sifakis, George I Lambrou, Andriana Prentza, Spiros Vlahopoulos, Dimitris Koutsouris, Fotini Tzortzatou-Stathopoulou, Aristotelis A Chatziioannou Journal of Clinical Bioinformatics 2011, 1:36 (20 December 2011)

Research   Open Access

A computational approach to candidate gene prioritization for X-linked mental retardation using annotation-based binary filtering and motif-based linear discriminatory analysis

Zané Lombard, Chungoo Park, Kateryna D Makova, Michèle Ramsay Biology Direct 2011, 6:30 (13 June 2011)

Research   Open Access

Prioritization of disease microRNAs through a human phenome-microRNAome network

Qinghua Jiang, Yangyang Hao, Guohua Wang, Liran Juan, Tianjiao Zhang, Mingxiang Teng, Yunlong Liu, Yadong Wang BMC Systems Biology 2010, 4(Suppl 1):S2 (28 May 2010)

Research   Open Access

Annotating the human genome with Disease Ontology

John D Osborne, Jared Flatow, Michelle Holko, Simon M Lin, Warren A Kibbe, Lihua Zhu, Maria I Danila, Gang Feng, Rex L Chisholm BMC Genomics 2009, 10(Suppl 1):S6 (7 July 2009)

Software   Open Access Highly Accessed

Gene Prospector: An evidence gateway for evaluating potential susceptibility genes and interacting risk factors for human diseases

Wei Yu, Anja Wulf, Tiebin Liu, Muin J Khoury, Marta Gwinn BMC Bioinformatics 2008, 9:528 (8 December 2008)

Gene Prospector, an online software tool that collates information from the ever-growing scientific literature on the human genome, enables the exploration of how inherited genetic variation and genetic interactions contribute to disease.

Research   Open Access Highly Accessed

FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease

Rong Chen, Alex A Morgan, Joel Dudley, Tarangini Deshpande, Li Li, Keiichi Kodama, Annie P Chiang, Atul J Butte Genome Biology 2008, 9:R170 (5 December 2008)

Differential expressed genes are more likely to have variants associated with disease. A new tool, fitSNP, prioritizes candidate SNPs from association studies.

Research article   Open Access

Prioritizing genes of potential relevance to diseases affected by sex hormones: an example of Myasthenia Gravis

Mandeep Kaur, Sebastian Schmeier, Cameron R MacPherson, Oliver Hofmann, Winston A Hide, Stephen Taylor, Nick Willcox, Vladimir B Bajic BMC Genomics 2008, 9:481 (13 October 2008)

Methodology article   Open Access

Conserved co-expression for candidate disease gene prioritization

Martin Oti, Jeroen van Reeuwijk, Martijn A Huynen, Han G Brunner BMC Bioinformatics 2008, 9:208 (23 April 2008)

Methodology article   Open Access

Computational selection and prioritization of candidate genes for Fetal Alcohol Syndrome

Zané Lombard, Nicki Tiffin, Oliver Hofmann, Vladimir B Bajic, Winston Hide, Michèle Ramsay BMC Genomics 2007, 8:389 (25 October 2007)