grant

Software and algorithms for elucidating the structure, function, and evolution of extrachromosomal DNA

Organization UNIVERSITY OF CALIFORNIA, SAN DIEGOLocation LA JOLLA, UNITED STATESPosted 1 Sept 2021Deadline 31 Aug 2026
NIHUS FederalResearch GrantFY2025AddressAdoptionAlgorithmsArchitectureAutomated AnnotationBiologyCancer GenesCancer-Promoting GeneCancersCentromereCloud ServiceCollaborationsCommunitiesCommunity OutreachComputer softwareComputing MethodologiesDNA Damage RepairDNA RepairDNA analysisDataDedicationsDemocracyDevelopmentDiagnosticDrug resistanceEcologic SystemsEcological SystemsEcosystemEducation and OutreachEngineering / ArchitectureEnvironmentEvolutionFeedbackGenesGenetic HeterogeneityGenomicsGoalsHeterogeneityHigh Performance ComputingHourInstruction and OutreachLeadLettersLibrariesMalignant NeoplasmsMalignant TumorMapsMediatingMemoryMetaphaseMethodsMitotic MetaphaseNatureNormal CellOncogenesOpticsPathogenicityPb elementResearchResearch ResourcesResourcesRunningSamplingSoftwareStaining methodStainsStructureTraining and OutreachTransforming GenesTumor PromotionTutoring and OutreachUnscheduled DNA SynthesisVisualizationWorkanalyze DNAannotation schemaanti-cancer researchauto-segmentationautomated segmentationautomatic segmentationautosegmentationcancer researchchromothripsiscloud platformcloud servercomputational annotationcomputational infrastructurecomputational methodologycomputational methodscomputational platformcomputer annotationcomputer based methodcomputer infrastructurecomputer methodscomputing methodcomputing platformdeep learning based neural networkdeep learning neural networkdeep neural netdeep neural networkdesigndesigningdevelopmentaldrug resistantentire genomeextrachromosomal DNAfull genomegenome sequencingheavy metal Pbheavy metal leadhigh-end computingimprovedmalignancynano porenanoporeneoplasm/cancernew drug treatmentsnew drugsnew pharmacological therapeuticnew therapeuticsnew therapynext generation therapeuticsnovelnovel drug treatmentsnovel drugsnovel pharmaco-therapeuticnovel pharmacological therapeuticnovel therapeuticsnovel therapyopticaloutreachpatient prognosisreconstructionresistance to Drugresistant to Drugsingle moleculespatial and temporalspatial temporalspatiotemporalsupercomputertechnology platformtechnology systemtooltumoruser-friendlywhole genome
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Full Description

Project Summary
Somatic copy number amplification (SCNA) of tumor promoting oncogenes, and focal copy number amplifi-

cations specifically, are a major driver of cancer pathogenicity. Recent results have revealed that that focal

oncogene amplification is mediated to a large extent by extrachromosomal DNA (ecDNA) i.e., large (1.3 Mb

on average), highly amplified, oncogene-containing circular molecules that occur in nearly 25% of cancers

across all sub-types, but rarely in normal cells. Unresolved questions regarding the formation, evolution, het-

erogeneity, and pathogenicity of ecDNA are becoming central to uncovering vulnerabilities that can be targeted

for diagnostics and therapy. The proposed project will enhance and disseminate “Software and algorithms

for elucidating the structure, function, and evolution of extrachromosomal DNA.” Specifically, we will (1) de-

velop CAPER (a Community Accessible Pipeline for EcDNA Reconstruction) by leveraging the GenePattern

ecosystem to provide an easy point and click interface to running the CPU, memory and storage heavy soft-

ware; (2) design and implement novel algorithmic improvements to the CAPER work flow, including support

for long-reads and integration of Omics data; and, (3) enable the broad adoption of CAPER through strategic

collaborations, outreach and education.

Grant Number: 5U24CA264379-05
NIH Institute/Center: NIH

Principal Investigator: Vineet Bafna

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