ITTACA: a new database for integrated tumor transcriptome array and clinical data analysis
| Autor: | Emmanuel Barillot, Catia Verbeke, Philippe La Rosa, Adil Elfilali, François Radvanyi, Séverine Lair |
|---|---|
| Přispěvatelé: | Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: |
Uveal Neoplasms
MESH: Carcinoma Transcription Genetic Gene Expression computer.software_genre Transcriptome User-Computer Interface 0302 clinical medicine Neoplasms Databases Genetic MESH: Neoplasms Melanoma MESH: Databases Genetic 0303 health sciences Database 3. Good health MESH: Urinary Bladder Neoplasms MESH: Internet 030220 oncology & carcinogenesis MESH: Survival Analysis User interface DNA microarray MESH: Gene Expression MESH: Melanoma MEDLINE Breast Neoplasms Biology Article 03 medical and health sciences MESH: Gene Expression Profiling Genetics medicine Humans Survival analysis MESH: Genes Neoplasm 030304 developmental biology MESH: User-Computer Interface Internet MESH: Humans Gene Expression Profiling MESH: Transcription Genetic Carcinoma Cancer medicine.disease Survival Analysis Systems Integration Gene expression profiling Urinary Bladder Neoplasms Tumor progression MESH: Uveal Neoplasms MESH: Systems Integration [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] computer MESH: Breast Neoplasms Genes Neoplasm |
| Zdroj: | Nucleic Acids Research Nucleic Acids Research, 2006, 34 (90001), pp.D613-D616. ⟨10.1093/nar/gkj022⟩ Nucleic Acids Research, Oxford University Press, 2006, 34 (90001), pp.D613-D616. ⟨10.1093/nar/gkj022⟩ Scopus-Elsevier |
| ISSN: | 0305-1048 1362-4962 |
| DOI: | 10.1093/nar/gkj022⟩ |
| Popis: | International audience; Transcriptome microarrays have become one of the tools of choice for investigating the genes involved in tumorigenesis and tumor progression, as well as finding new biomarkers and gene expression signatures for the diagnosis and prognosis of cancer. Here, we describe a new database for Integrated Tumor Transcriptome Array and Clinical data Analysis (ITTACA). ITTACA centralizes public datasets containing both gene expression and clinical data. ITTACA currently focuses on the types of cancer that are of particular interest to research teams at Institut Curie: breast carcinoma, bladder carcinoma and uveal melanoma. A web interface allows users to carry out different class comparison analyses, including the comparison of expression distribution profiles, tests for differential expression and patient survival analyses. ITTACA is complementary to other databases, such as GEO and SMD, because it offers a better integration of clinical data and different functionalities. It also offers more options for class comparison analyses when compared with similar projects such as Oncomine. For example, users can define their own patient groups according to clinical data or gene expression levels. This added flexibility and the user-friendly web interface makes ITTACA especially useful for comparing personal results with the results in the existing literature. ITTACA is accessible online at http://bioinfo.curie.fr/ittaca. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|