BMC Bioinformatics

official impact factor 3.03

Open Access Highly Access Research article

Components of the antigen processing and presentation pathway revealed by gene expression microarray analysis following B cell antigen receptor (BCR) stimulation

Jamie A Lee1, Robert S Sinkovits3, Dennis Mock3, Eva L Rab1, Jennifer Cai1, Peng Yang1, Brian Saunders3, Robert C Hsueh2, Sangdun Choi5, Shankar Subramaniam3,4, Richard H Scheuermann1,3* and in collaboration with the Alliance for Cellular Signaling

Author Affiliations

1 Department of Pathology, Laboratory of Molecular Pathology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA

2 Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA

3 San Diego Supercomputer Center, University of California, San Diego, California 92122, USA

4 Department of Bioengineering, University of California, San Diego, California 92122, USA

5 Division of Biology, California Institute of Technology, Pasadena, CA, USA

For all author emails, please log on.

BMC Bioinformatics 2006, 7:237 doi:10.1186/1471-2105-7-237

Published: 2 May 2006

Additional files

Additional File 1:

CLASSIFI input file. The CLASSIFI input file was generated following microarray data clustering. It lists probe IDs, Gene names, and Cluster IDs resulting from categorical clustering of processed data from B cells stimulated with anti-CD40, LPS, and AIG. This input file was uploaded at the CLASSIFI website [28], which provides a web interface for the use of CLASSIFI.

Format: XLS Size: 282KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional File 2:

CLASSIFI output file. Complete output file resulting from CLASSIFI analysis of the data set. Clusterid = gene clusters resulting from categorical clustering of processed data from B cells stimulated with anti-CD40, LPS, and AIG. GO id = a unique Gene Ontology identifier that corresponds to a GO term, which is used to describe gene products based on molecular function, biological process, or cellular component. g = number of probes in the data set, f = number of probes with associated GO id in the data set, c = number of probes in the gene cluster, n = number of probes with associated GO id in the gene cluster. Expt = the expected number of occurrences of a given GO id in a given cluster of size (n) based on a random distribution. Prob = the probability that the GO id co-cluster pattern has occurred by chance.

Format: XLS Size: 802KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional File 3:

CLASSIFI GO file. Complete list of all GO ids (representing the entire GO ancestry) associated with each probe ID.

Format: XLS Size: 478KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data