Literature Lab: a method of automated literature interrogation to infer biology from microarray analysis1 Institute for Genome Science and Policy, Duke University, Durham, North Carolina, USA 2 Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA 3 Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA 4 Acumenta Corporation, Boston, Massachusetts, USA 5 Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA 6 Department of Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
BMC Genomics 2007, 8:461doi:10.1186/1471-2164-8-461
Additional filesAdditional file 1: Supplemental Methods. Format: DOC Size: 67KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 2: Term Lists. Excel spreadsheet of term lists used for physiology, metabolism, and pathway domains. Format: XLS Size: 40KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 3: Gene Thesaurus. Excel spreadsheet of all genes with all aliases used for all experiments in this manuscript. Format: XLS Size: 4.5MB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 4: Excluded Terms. Excel spreadsheet of terms excluded from search due to ambiguity or limited associated information. Format: XLS Size: 41KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 5: Effects of Time Frame. Standard Literature Lab interrogations performed on the HL60 gene set for key term lists for metabolism, pathways, and physiology. The only difference between the two interrogations involved time frame: One search included citations from the first 5 years of the standard 10 year interval (12/31/93 and 12/30/98, "1st5 yr") and the other the latter 5 years (12/31/98–12/31/03, "2nd5 yr"). Log10(PF) ("Score") was used to order key terms and standard heuristics were applied to identify associations as "strong" or "moderate". Format: JPEG Size: 605KB Download file Additional file 6: Effects of Gene Set Size. Standard Literature Lab interrogations performed on the HL60 gene set for key term lists for metabolism with increasing size of the gene set. "Metabolism-X" where X equals 10, 25, 50, 100, 150, 200, 250, and 300 and represents the number of genes in the gene set.. Log10(PF) ("Score") was used to order key terms and standard heuristics were applied to identify associations as "strong" or "moderate". Format: JPEG Size: 671KB Download file Additional file 7: Results of Breast Cancer Gene Set. The 70-genes associated with outcome for localized breast cancer were used as a gene set and interrogated by Literature Lab for associations between members of the gene set and key terms included on the lists of Physiology, Metabolizm, and Pathways. Log10(PF) ("Score") was used to order key terms and standard heuristics were applied to identify associations as "strong" or "moderate". Format: JPEG Size: 284KB Download file Additional file 8: GOMiner. Excel spreadsheet of results from GOMiner using gene list from MPAKT experiment annotated for overlap with Literature Lab. Format: XLS Size: 31KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 9: Mesher. Excel spreadsheet of results from MESHer using gene list from MPAKT experiment annotated for overlap with Literature Lab. Format: XLS Size: 30KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 10: GeneCite MPAKT. Excel spreadsheet of results from GeneCite using gene list from MPAKT experiment annotated for overlap with Literature Lab. Format: XLS Size: 1.2MB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 11: GeneCite Metastatic Prostate Cancer. Excel spreadsheet of results from GeneCite using gene list from local v metastatic prostate cancer experiment annotated for overlap with Literature Lab. Format: XLS Size: 1.6MB Download file This file can be viewed with: Microsoft Excel Viewer |




on Google Scholar








author email
corresponding author email