G-DOC Plus – an integrative bioinformatics platform for precision medicine

التفاصيل البيبلوغرافية
العنوان: G-DOC Plus – an integrative bioinformatics platform for precision medicine
المؤلفون: Michael Harris, Yuriy Gusev, Krithika Bhuvaneshwar, Anas Belouali, Robert Clarke, Louis M. Weiner, Subha Madhavan, Varun Singh, Lei Song, Adil Alaoui, Robert M. Johnson
المصدر: BMC Bioinformatics
بيانات النشر: BioMed Central, 2016.
سنة النشر: 2016
مصطلحات موضوعية: 0301 basic medicine, Databases, Factual, Computer science, Somatic cell, Big data, computer.software_genre, Biochemistry, Transcriptome, 0302 clinical medicine, Structural Biology, Variant analysis, Neoplasms, Gene expression, Biomarker discovery, Oligonucleotide Array Sequence Analysis, education.field_of_study, Translational bioinformatics, Applied Mathematics, Genotype-phenotype integration, Precision medicine, 3. Good health, Computer Science Applications, Outcomes research, 030220 oncology & carcinogenesis, DNA microarray, Data integration, Omics technologies, Bioinformatics, Population, Translational research, Context (language use), DNA sequencing, 03 medical and health sciences, Next generation sequencing, medicine, Cloud computing, Humans, 1000 Genomes Project, education, Molecular Biology, Integrative bioinformatics, business.industry, Cancer, Computational Biology, medicine.disease, Omics, Data science, 030104 developmental biology, business, computer, Software
الوصف: Background G-DOC Plus is a data integration and bioinformatics platform that uses cloud computing and other advanced computational tools to handle a variety of biomedical BIG DATA including gene expression arrays, NGS and medical images so that they can be analyzed in the full context of other omics and clinical information. Results G-DOC Plus currently holds data from over 10,000 patients selected from private and public resources including Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA) and the recently added datasets from REpository for Molecular BRAin Neoplasia DaTa (REMBRANDT), caArray studies of lung and colon cancer, ImmPort and the 1000 genomes data sets. The system allows researchers to explore clinical-omic data one sample at a time, as a cohort of samples; or at the level of population, providing the user with a comprehensive view of the data. G-DOC Plus tools have been leveraged in cancer and non-cancer studies for hypothesis generation and validation; biomarker discovery and multi-omics analysis, to explore somatic mutations and cancer MRI images; as well as for training and graduate education in bioinformatics, data and computational sciences. Several of these use cases are described in this paper to demonstrate its multifaceted usability. Conclusion G-DOC Plus can be used to support a variety of user groups in multiple domains to enable hypothesis generation for precision medicine research. The long-term vision of G-DOC Plus is to extend this translational bioinformatics platform to stay current with emerging omics technologies and analysis methods to continue supporting novel hypothesis generation, analysis and validation for integrative biomedical research. By integrating several aspects of the disease and exposing various data elements, such as outpatient lab workup, pathology, radiology, current treatments, molecular signatures and expected outcomes over a web interface, G-DOC Plus will continue to strengthen precision medicine research. G-DOC Plus is available at: https://gdoc.georgetown.eduTest. Electronic supplementary material The online version of this article (doi:10.1186/s12859-016-1010-0) contains supplementary material, which is available to authorized users.
اللغة: English
تدمد: 1471-2105
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75d8460d5c3185200141e77ada8da6e6Test
http://europepmc.org/articles/PMC4851789Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....75d8460d5c3185200141e77ada8da6e6
قاعدة البيانات: OpenAIRE