Open Access Technical Note

Human gene correlation analysis (HGCA): A tool for the identification of transcriptionally co-expressed genes

Ioannis Michalopoulos1*, Georgios A Pavlopoulos2, Apostolos Malatras13, Alexandros Karelas1, Myrto-Areti Kostadima45, Reinhard Schneider67 and Sophia Kossida5

Author Affiliations

1 Cryobiology of Stem Cells, Centre of Immunology and Transplantation, Biomedical Research Foundation, Academy of Athens, Soranou Efessiou 4, Athens, 11527, Greece

2 ESAT-SCD/IBBT-K.U. Leuven Future Health Department, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, Heverlee-Leuven, 3001, Belgium

3 Department of Cell Biology and Biophysics, Faculty of Biology, University of Athens, Panepistimiopolis, Athens, 15701, Greece

4 Wellcome Trust Genome Campus, European Bioinformatics Institute, Cambridge, CB10 1SD, United Kingdom

5 Bioinformatics & Medical Informatics Team, Biomedical Research Foundation, Academy of Athens, Soranou Efessiou 4, Athens, 11527, Greece

6 Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, Heidelberg, 69117, Germany

7 Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, avenue des Hauts-Fourneaux 7, Esch sur Alzette, L-4362, Luxembourg

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BMC Research Notes 2012, 5:265  doi:10.1186/1756-0500-5-265

Published: 6 June 2012

Additional files

Additional file 1:

List of the GSM samples which were used in the analysis. The titles of the GSM samples and their corresponding GSE series, as well as their tissue/organ names are shown.

Format: XLS Size: 306KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data