Workshop SessionAbstractsresolution hybrid instruments having API sources. These competitiveapproaches deliver exciting results on selection <strong>of</strong> the predictors’ paneland potential metabolic biomarkers discovery. We here report onefficiency <strong>of</strong> Metabolic Biomarkers Discovery Project as a platform forcases study: Kidney diseases (RCC and PKD); Pancreatic Cancer (PDAC);Human Embryonic Stem Cells functional characterization. However,Metabolic Networks simulation and Metabolic Pathway Analysis,which could be essential tools for Metabolic Biomarkers validation andconnections with underlying biochemical processes are still difficultand approached not systematically, but rather case wise. Challengesand developments in this field will be further presented and discussed.(W11) The Business <strong>of</strong> Running a Core FacilityN.P. Ambulos, Jr. 1 , S.A. Bobin 21University <strong>of</strong> Maryland School <strong>of</strong> Medicine, Baltimore, MD,United States; 2 Dartmouth School <strong>of</strong> Medicine, Hanover, NH,United StatesThe success and sustainability <strong>of</strong> a Core Facility has been dependenton factors which include (1) the ability to maintain state-<strong>of</strong>-thearttechnology, (2) recruiting and retaining talented technical staff,(3) a strong financial management plan, and (4) strong Institutionalsupport from both end users and the Administration. Historically,most core facilities enjoyed generous subsidies from their InstitutionalAdministration, which have helped defray costs for end users, purchasenew instrumentation, or to hire new staff. In light <strong>of</strong> the current economy,it is likely that many core facilities are now seeing these subsidiesdrastically cut, or even eliminated. In essence, core facilities are facedwith operating as a self-supporting ‘business’, and at the same time,ensure compliance with federal guidelines. This workshop will presentideas, both conventional and creative, that might provide core directorswith the tools necessary to continue to sustain a successful core facility.This will set the stage for an open discussion with the audience toencourage a free-flow <strong>of</strong> additional ideas that could benefit the futuresuccess <strong>of</strong> our cores.(W12) Microarrays: The Reports <strong>of</strong> My DeathHave Been Greatly Exaggerated(W12-1) Chip or Seq: Helping Clients ChooseD. BaldwinUniversity <strong>of</strong> Pennsylvania, Penn Molecular Pr<strong>of</strong>iling Facility,Philadelphia, PA, United StatesThe Penn Molecular Pr<strong>of</strong>iling Facility provides services using microarrayand deep sequencing platforms for a variety <strong>of</strong> applications. Drawingfrom experiences helping prospective clients to choose one approachor the other, and sometimes both, this portion <strong>of</strong> the workshop willaddress some <strong>of</strong> the factors to consider when thinking about a newproject. The budgeting process will be discussed, with particular focuson the use <strong>of</strong> interactive cost calculators.(W12-2) Microarray Analysis <strong>of</strong> FluorescenceActivated Cell Sorter-Derived Cells: CreatingHarmony Between TechnologiesS. TigheUniversity <strong>of</strong> Vermont, Advanced Genome Technology Core,Burlington, VT, United StatesAlthough microarray technology is well-established in both theresearch and clinical fields, it continues to evolve into new areas thatrequire new methods for the successful isolations <strong>of</strong> nucleic acid fromnon-traditional sources. Because RNA specifically is a labile molecule,special procedures and considerations must be implemented to avoiddegradation from methods such as fluorescence activated cell sorting(FACS) and laser capture microdissection (LCM) to name a few. Thispresentation will discuss specific methodologies to maximize the success<strong>of</strong> nucleic acid recovery from these approaches including instrumentpreparation, extraction methods, and the use <strong>of</strong> special reagents todeal with problematic samples.(W12-3) Microarray Futures: Don’t DecommissionYour Scanners Just YetS.D. CrosbyDepartment <strong>of</strong> Genetics, Washington University School <strong>of</strong>Medicine, St. Louis, MO, United StatesThe first attempt to wind down the Washington University MicroarrayFacility was made by Genome Sequencing Center in 2008. It wasclear to most <strong>of</strong> us involved in the attempt that, with the advent <strong>of</strong>NGS, microarrays were headed the way <strong>of</strong> differential display PCR(remember that!?). The attempt failed, and 2010 was the busiest yearyet for our microarray facility. Sequence remains a bit too expensiveand complex for many to make the leap. In addition, because <strong>of</strong> therarity <strong>of</strong> variants and the modest number <strong>of</strong> bases required to identifya locus, most sequence data is superfluous. Beyond that, as the actualcost <strong>of</strong> sequence continues to fall, so do the price <strong>of</strong> arrays, while thedensity <strong>of</strong> elements <strong>of</strong> the latter rises. It seems that until the advent <strong>of</strong>reagentless sequencing, it is unlikely that the actual cost <strong>of</strong> sequencingwill be less than the cost <strong>of</strong> an array that covers the same loci. Whilesequencing technology will remain an important tool for discovery,over time most exons and biologically relevant variants will be capturedin toto on low cost arrays. Hospital or contract labs will (indeed arealready) use small, cheap arrays that capture disease relevant genes andvariants.50 • <strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine
(W13) Institutional Core ManagementS. Meyn 1 , P. Turpen 2 , G.K. Farber 3 , S. Mische 4 ,P. Alexander 5 , J. Auger 61Vanderbilt University Medical Center, Nashville, TN, UnitedStates; 2 University <strong>of</strong> Nebraska Medical Center, Omaha,NE, United States; 3 National Center for Research Resources,Bethesda, MD, United States; 4 New York University LangoneMedical Center, New York, NY, United States; 5 MorehouseSchool <strong>of</strong> Medicine, Atlanta, GA, United States; 6 University <strong>of</strong>California San Francisco, San Francisco, CA, United StatesThis workshop session will focus on issues related to InstitutionalCore Management, in response to the national conversation evolvingaround research core facility issues and management. The workshopwill be formatted as an experts’ panel; each participant currentlyplays an important role in supporting and developing research coreresources at an institutional level. Some <strong>of</strong> the topics to be discussedinclude: (1) Core Consolidation — one size fits all? (2) Bottom-up vs.top-down management, advantages and disadvantages <strong>of</strong> centrallymanaged cores. (3) Performance metrics and impacts on pr<strong>of</strong>essionaldevelopment, core infrastructure support and improved operations.(4) Impacts <strong>of</strong> NIH-NCRR programs on improving access to researchresources, including core facilities. We also plan to highlight the newCore Administrators Network Coordinating (CAN). In responseto an emerging trend to centralize the oversight <strong>of</strong> research corefacilities, <strong>ABRF</strong> has fostered development <strong>of</strong> this network and anew committee: the Core Administrators Network-CoordinatingCommittee (CAN-CC). The committee seeks input and participationfrom scientists, administrators and others with an interest in issuesrelated to the administration <strong>of</strong> research core facilities which, by thenature <strong>of</strong> their service role, must interface with multiple constituencieswithin a research enterprise. Today many institutions have establishedadministrative positions designed to assist core facilities withmanagement <strong>of</strong> economic, regulatory and performance issues. In orderto facilitate greater interaction between and among core scientistsand administrators, the mission <strong>of</strong> the CAN-CC is to contribute to thecommon interests <strong>of</strong> core administrators, and promote interactions withcore scientists in a collegial and productive manner. The specific goals<strong>of</strong> the Core Administrators Network Coordinating Committee (CAN-CC) are: to identify and reach out to our target community; provideopportunities for networking; and assess goals for program focus anddevelopment.(W14) Next Generation Sequencing S<strong>of</strong>twarefor Data Management, Analysis, andVisualization(W14-1) Tools for Next Generation Sequencing DataAnalysisK. BodiTufts University School <strong>of</strong> Medicine, Tufts University CoreFacility, Boston, MA, United StatesAs NGS technology continues to improve, the amount <strong>of</strong> data generatedper run grows exponentially. Unfortunately, the primary bottleneckin NGS studies is still bioinformatics analysis. Not all researchershave access to a bioinformatics core or dedicated bioinformatician.Additionally, much <strong>of</strong> the s<strong>of</strong>tware for NGS analyses is written to runin a Unix / Linux environment. Researchers unfamiliar with the Unixcommand line may be unable to use these tools, or face a steep learningcurve in trying to do so. Commercial packages exist, such as the CLCGenomics Workbench, DNANexus, and GenomeQuest. However,these commercial packages <strong>of</strong>ten incorporate proprietary algorithmsto perform data analysis and may be costly. Galaxy provides a solutionto this problem by incorporating popular open-source and communitylinux command line tools into an easy to use web-based environment.After sequence data has been uploaded and mapped, there are avariety <strong>of</strong> workflows for NGS analyses that use open-source tools. Thisincludes peak-calling analyses for ChIP-Seq (MACS, GeneTrack indexer,Peak predictor), RNA-Seq (Tophat, Cufflinks), and finding smallinsertions, deletions, and SNPs using SAMtools. Any researcher canapply a workflow to his NGS data and retrieve results, without having tointeract with a command line. Additionally, since Galaxy is cloud-based,expensive computing hardware for performing analyses is not needed.In this presentation we will provide an overview <strong>of</strong> two popular opensourceRNA-Seq analysis tools, Tophat and Cufflinks, and demonstratehow they can be used in Galaxy.(W14-2) GenomeView: Visualizing the Next-Generation <strong>of</strong> DataT. AbeelBroad Institute <strong>of</strong> MIT and Harvard, Cambridge, MA, UnitedStates, and VIB Department <strong>of</strong> Plant Systems Biology, GhentUniversity, Ghent, BelgiumDue to recent advances in sequencing technologies, billions <strong>of</strong> nucleotidesequences are now produced on a daily basis. A major challenge isto visualize these data, including both whole genome sequence andtranscriptome data, for further downstream analyses. Visualization is<strong>of</strong>ten overlooked and undervalued, but it is an extremely valuable toexplore your data on several levels. A first area where visualization shinesis at the early stages <strong>of</strong> data analysis to perform sanity checks on yourdata. Eye-balling your data in a visually pleasing way is the best way toget a good feel on what came out <strong>of</strong> your experiments. Once you havea good idea <strong>of</strong> what is in your data a good visual representation can beused to generate new hypotheses and to fine-tune analysis parameters.The appropriate image <strong>of</strong>ten makes the solution obvious and as such, itreally makes it easier to develop algorithms. The ability to interactivelyexplore gives you insights in large-scale data sets and definitelyaugments our ability to reason about complex data. To this end, wepresent GenomeView, a stand-alone sequence browser specificallydesigned to visualize and manipulate a multitude <strong>of</strong> genomics data.GenomeView enables users to dynamically browse high volumes <strong>of</strong>aligned short read data, with dynamic navigation and semantic zooming,from the whole genome level to the single nucleotide. At the same time,the tool enables visualization <strong>of</strong> whole genome alignments <strong>of</strong> dozens <strong>of</strong>genomes relative to a reference sequence. GenomeView is unique in itscapability to interactively handle huge data sets consisting <strong>of</strong> dozens<strong>of</strong> aligned genomes, thousands <strong>of</strong> annotation features and millions <strong>of</strong>mapped short reads both as viewer and editor. GenomeView is freelyavailable for academic use as an open source s<strong>of</strong>tware package athttp://genomeview.org.Workshop SessionAbstracts<strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine • 51
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This workshop will present ways to
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MARCH 16-20, 2012 • DISNEY’S CO