Literature DB >> 28849567

ArrayTrack: An FDA and Public Genomic Tool.

Hong Fang1, Stephen C Harris2, Zhenjiang Su2, Minjun Chen2, Feng Qian1, Leming Shi2, Roger Perkins1, Weida Tong3.   

Abstract

A robust bioinformatics capability is widely acknowledged as central to realizing the promises of toxicogenomics. Successful application of toxicogenomic approaches, such as DNA microarrays, inextricably relies on appropriate data management, the ability to extract knowledge from massive amounts of data and the availability of functional information for data interpretation. At the FDA's National Center for Toxicological Research (NCTR), we are developing a public microarray data management and analysis software, called ArrayTrack that is also used in the routine review of genomic data submitted to the FDA. ArrayTrack stores a full range of information related to DNA microarrays and clinical and nonclinical studies as well as the digested data derived from proteomics and metabonomics experiments. In addition, ArrayTrack provides a rich collection of functional information about genes, proteins, and pathways drawn from various public biological databases for facilitating data interpretation. Many data analysis and visualization tools are available with ArrayTrack for individual platform data analysis, multiple omics data integration and integrated analysis of omics data with study data. Importantly, gene expression data, functional information, and analysis methods are fully integrated so that the data analysis and interpretation process is simplified and enhanced. Using ArrayTrack, users can select an analysis method from the ArrayTrack tool box, apply the method to selected microarray data and the analysis results can be directly linked to individual gene, pathway, and Gene Ontology analysis. ArrayTrack is publicly available online ( http://www.fda.gov/nctr/science/centers/toxicoinformatics/ArrayTrack/index.htm ), and the prospective user can also request a local installation version by contacting the authors.

Keywords:  ArrayTrack; Bioinformatics; Database; Genomics; MAQC; Microarray; Pharmacogenomics; Systems Toxicology; Toxicogenomics; VGDS; VXDS

Mesh:

Year:  2017        PMID: 28849567     DOI: 10.1007/978-1-4939-7027-8_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Assessment of the effects of organic vs. inorganic arsenic and mercury in Caenorhabditis elegans.

Authors:  Jessica Camacho; Aline de Conti; Igor P Pogribny; Robert L Sprando; Piper Reid Hunt
Journal:  Curr Res Toxicol       Date:  2022-05-08

2.  Concentration-dependent toxicogenomic changes of silver nanoparticles in hepatocyte-like cells derived from human induced pluripotent stem cells.

Authors:  Xiugong Gao; Rong Li; Robert L Sprando; Jeffrey J Yourick
Journal:  Cell Biol Toxicol       Date:  2020-05-24       Impact factor: 6.691

3.  Phenotypical, functional and transcriptomic comparison of two modified methods of hepatocyte differentiation from human induced pluripotent stem cells.

Authors:  Rong Li; Yang Zhao; Jeffrey J Yourick; Robert L Sprando; Xiugong Gao
Journal:  Biomed Rep       Date:  2022-03-23

4.  A transcriptomic dataset comparing two methods of hepatocyte differentiation from human induced pluripotent stem cells.

Authors:  Xiugong Gao; Rong Li; Jeffrey J Yourick; Robert L Sprando
Journal:  Data Brief       Date:  2022-07-18

5.  Identifying Biomarkers from Transcriptomic Signatures in Renal Allograft Biopsies Using Deceased and Living Donors.

Authors:  Bin Yang; Nicolas Sylvius; Jinli Luo; Cheng Yang; Zhanyun Da; Charlottelrm Crotty; Michael L Nicholson
Journal:  Front Immunol       Date:  2021-07-01       Impact factor: 7.561

  5 in total

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