FOA Title: 
Notice of Clarification for PAR-18-844-Investigator Initiated Research in Computational Genomics and Data Science (R01 Clinical Trial Not Allowed)
Grant Type: 
NOT-HG-18-010
Primary IC: 
NHGRI
Release Date: 
Jul 18 2018
Expiration Date: 
N/A
AC Source: 
N/A
Purpose: 
Notice Clarification PAR-18-844-Investigator Initiated Research Computational Genomics Data Science R01 Clinical Trial Allowed) Notice Number: NOT-HG-18-010 Key Dates Release Date: July 18, 2018 Related Announcements PAR-18-844 Issued National Human Genome Research Institute NHGRI) Purpose purpose this Notice to clarify Key Dates AIDS applications, Funding Opportunity Description Part 2. Section I), allowable budget Part 2. Section II), the Resource Sharing Plan Part 2. Section IV) PAR-18-844 Investigator Initiated Research Computational Genomics Data Science R01 Clinical Trial Allowed). Part 1. Overview Information Key Dates) language currently reads: AIDS Application Due Date(s) January 7, 2018; September 7, 2019; January 7, 2019; September 7, 2020; January 7, 2020; September 7, 2021, 5:00 PM local time applicant organization. types AIDS AIDS-related applications allowed this funding opportunity announcement due these dates. Applicants encouraged apply early allow adequate time make any corrections errors found the application during submission process the due date. language should modified read: AIDS Application Due Date(s) January 7, 2019; September 7, 2019; January 7, 2020; September 7, 2020; January 7, 2021; September 7, 2021, 5:00 PM local time applicant organization. types AIDS AIDS-related applications allowed this funding opportunity announcement due these dates. Applicants encouraged apply early allow adequate time make any corrections errors found the application during submission process the due date. Part 2. Section 1: Funding Opportunity Description current language reads: Objectives Through FOA, NHGRI seeks fund innovative research efforts computational genomics, data science, statistics, bioinformatics basic clinical genomic sciences, broadly applicable human health disease, well research leading improvement existing software approaches demonstrated be broad by genomics community. Research topics appropriate this FOA include, are limited to, development novel computational, bioinformatics, statistical, analytical approaches, tools, software for: Interactive analysis visualization large genomic data sets. Identification prioritization disease-causal genetic variants. Causal statistical modeling related genomic research. Analysis single-cell sub-cellular genomic data both situ in dissociated cells. Integrating model organism data information human data. Integrating interpreting various genomic data types, including sequence data, functional data, phenotypic data, clinical data. Processing integrating genome sequence data enhance representation population variation. Processing sequence data sequence assembly, variant detection SNPs SVs), imputation, resolution haplotypes. Development efficient scalable algorithms compute-intensive genomic applications. Achieving major cost reductions genomic data processing analysis. Enabling scalable cost-effective curation FAIR metadata genomic phenotypic data. Enhancing secure sharing use genomic data combination clinical data. Processing analyzing new genomic data types, major improvement processing analyzing existing genomic data types. Rigorous benchmarking tools, methods, algorithms genomics. Hardening existing widely-used genomic data processing pipeline enable reproducible implementation the biomedical research community. FOA does support: Development, maintenance, curation genomic databases other genomic data resources. Applicants considering developing such resources directed the Genomic Community Resources U24) program: https://grants.nih.gov/grants/guide/pa-files/PAR-17-273.html. Research relevant only or few diseases biological systems. Research utilizing small number disease models biological systems proof-of-concept studies be acceptable the resulting methods, tools, approaches, software generalizable. Development application ontologies controlled vocabularies, manual curation efforts. Basic data science research is developed genomics. Significant experimental work. Applicants propose limited experimental work test predictions generated a result computational approaches and/or inform modeling efforts, this should be major focus the application. Approaches clearly pertaining computational genomics data science and/or lacking relevance human health disease. applicants strongly encouraged contact NHGRI Program Staff discuss alignment their proposed work the goals this FOA prior submitting application. modified language should read: Objectives Through FOA, NHGRI seeks fund innovative research efforts computational genomics, data science, statistics, bioinformatics basic clinical genomic sciences, broadly applicable human health disease, well research leading improvement existing software approaches demonstrated be broad by genomics community. Research topics appropriate this FOA include, are limited to, development novel computational, bioinformatics, statistical, analytical approaches, tools, software for: Interactive analysis visualization large genomic data sets. Identification prioritization disease-causal genetic variants. Causal statistical modeling related genomic research. Analysis single-cell sub-cellular genomic data both situ in dissociated cells. Integrating model organism data human data derive biomedical insight. Integrating interpreting various genomic data types, including sequence data, functional data, phenotypic data, clinical data. Processing integrating genome sequence data enhance representation population variation. Processing sequence data sequence assembly, variant detection SNPs SVs), imputation, resolution haplotypes. Development efficient scalable algorithms compute-intensive genomic applications, otherwise achieving major cost reductions genomic data processing analysis. Enabling scalable cost-effective curation FAIR metadata genomic phenotypic data. Enhancing secure sharing use genomic data combination clinical data. Processing analyzing new genomic data types, major improvement processing analyzing existing genomic data types. Rigorous benchmarking tools, methods, algorithms genomics. Hardening existing widely-used genomic data processing pipeline enable reproducible implementation the biomedical research community. Improved novel methods integrating prior biological knowledge machine learning models. FOA does support: Development, maintenance, curation genomic databases other genomic data resources. Applicants considering developing such resources directed the Genomic Community Resources U24) program: https://grants.nih.gov/grants/guide/pa-files/PAR-17-273.html. Research generalizable beyond or small number diseases biological systems. Research utilizing small number disease models biological systems proof-of-concept studies be acceptable the resulting methods, tools, approaches, software generalizable. Development application ontologies controlled vocabularies, manual curation efforts. Basic data science research is developed genomics. Significant experimental work. Applicants propose limited experimental work test predictions generated a result computational approaches and/or inform modeling efforts, this should be major focus the application. Approaches clearly pertaining computational genomics data science and/or lacking relevance human health disease. addition this PAR, NHGRI participates several funding opportunities nbsp;https://www.genome.gov/10000991/nhgri-funding-opportunities-research/, including parent R01 R21 announcements. applicants strongly encouraged contact NHGRI Program Staff discuss alignment their proposed work the goals this FOA prior submitting application. Section II. Award Information current language reads: Award Budget Application budgets not limited need reflect actual needs the proposed project. modified language should read: Award Budget Application budgets limited 500,000 direct costs per year. Section IV. 2. Resource Sharing Plan current language reads: Resource Sharing Plan: Individuals required comply the instructions the Resource Sharing Plans provided the SF424 R&R) Application Guide, the following modification: major goal this FOA the development computational methods tools are enabling the genomics community. Applicants should therefore include detailed plans open dissemination methods, software, tools the community such they readily usable extensible, where applicable. should made freely available biomedical researchers educators. is prescribed license software produced applications responding this announcement, any software license selected applicants should allow unrestricted redistribution modification software. Methods, tools, software should well-documented where applicable available via version-controlled public repositories. Where applicable, applicants should describe solutions portable implementations. Solutions enhance reproducibility used the community ability the community integrate automated pipelines should emphasized. applications generating data, regardless the amount direct costs requested any year, should provide Data Sharing Plan. Applications should adhere the NIH Genomic Data Sharing Policy, including general NHGRI expectations for implementation this policy. modified language should read: Resource Sharing Plan: Individuals required comply the instructions the Resource Sharing Plans provided the SF424 R&R) Application Guide, the following modification: major goal this FOA the development computational methods tools are enabling the genomics community. Applicants should therefore include detailed plans open dissemination methods, software, tools the community such they readily usable extensible, where applicable. should made freely available biomedical researchers educators. is prescribed license software produced applications responding this announcement, any software license selected applicants should allow unrestricted redistribution modification software. Methods, tools, software should well-documented where applicable available via version-controlled public repositories. Where applicable, applicants should describe solutions portable implementations. Solutions enhance reproducibility used the community ability the community integrate automated pipelines, relevant, should emphasized. applications generating data, regardless the amount direct costs requested any year, should provide Data Sharing Plan. Applications should adhere the NIH Genomic Data Sharing Policy, including general NHGRI expectations for implementation this policy. facilitate sharing ideas methods accelerate advances computational genomics data science, grantees be required participate actively openly one grantee meeting per year. Substantial information sharing be required appropriate consistent achieving goals the PAR is condition the award; failure openly share information be grounds discontinuation funding. Applicants should describe plans participating grantee meetings request funds 1-3 group members travel the meeting year. other aspects this FOA remain same. Inquiries Please direct inquiries to: Daniel Gilchrist, Ph.D. National Human Genome Research Institute NHGRI) Telephone: 301-496-7531 Email: daniel.gilchrist@nih.gov