High-performance computing service for bioinformatics and data science.
Despite having an ideal setup in their labs for wet work, researchers often lack the computational infrastructure to analyze the magnitude of data that result from "-omics" experiments. In this innovative project, the library supports analysis of high-throughput data from global molecular profiling...
| Publicado en: | Journal of the Medical Library Association Vol. 106; no. 4; pp. 494 - 496 |
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| Autores principales: | , |
| Formato: | tables/charts Journal Article |
| Publicado: |
University of Pittsburgh, University Library System
Oct2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=132210162&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 132210162 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15365050 PI8 jtl: Journal of the Medical Library Association issn: 15365050 maglogo: N pubinfo: dt: Oct2018 vid: 106 iid: 4 pid: 60406 pub: University of Pittsburgh, University Library System place: Pittsburgh, Pennsylvania artinfo: ui: 132210162 132210162 132210162 10.5195/jmla.2018.512 132210162 ppf: 494 ppct: 2 formats: fmt: @attributes: type: P tig: atl: High-performance computing service for bioinformatics and data science. aug: au: Courney, Jean-Paul Mayo, Alexa affil: Bioinformationist, Health Sciences and Human Services Library, University of Maryland, Baltimore, MD 21201 sug: subj: Education, Non-Traditional Data Analysis, Computer Assisted Bioinformatics Learning Methods Libraries, Health Sciences Maryland Virtual Reality ab: Despite having an ideal setup in their labs for wet work, researchers often lack the computational infrastructure to analyze the magnitude of data that result from "-omics" experiments. In this innovative project, the library supports analysis of high-throughput data from global molecular profiling experiments by offering a high-performance computer with open source software along with expert bioinformationist support. The audience for this new service is faculty, staff, and students for whom using the university's large scale, CORE computational resources is not warranted because these resources exceed the needs of smaller projects. In the library's approach, users are empowered to analyze high-throughput data that they otherwise would not be able to on their own computers. To develop the project, the library's bioinformationist identified the ideal computing hardware and a group of open source bioinformatics software to provide analysis options for experimental data such as scientific images, sequence reads, and flow cytometry files. To close the loop between learning and practice, the bioinformationist developed self-guided learning materials and workshops or consultations on topics such as the National Center for Biotechnology Information's BLAST, Bioinformatics on the Cloud, and ImageJ. Researchers apply the data analysis techniques that they learned in the classroom in the library's ideal computing environment. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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