{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Haller T"],"funding":["Estonian Government","NIDDK NIH HHS","Estonian Center of Genomics/Roadmap II","EU H2020 grant ePerMed","US National Institute of Health","EU H2020 grant","European Regional Development Fund"],"pagination":["22"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6330393"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["20(1)"],"pubmed_abstract":["<h4>Background</h4>Selection of interesting regions from genome wide association studies (GWAS) is typically performed by eyeballing of Manhattan Plots. This is no longer possible with thousands of different phenotypes. There is a need for tools that can automatically detect genomic regions that correspond to what the experienced researcher perceives as peaks worthwhile of further study.<h4>Results</h4>We developed Manhattan Harvester, a tool designed for \"peak extraction\" from GWAS summary files and computation of parameters characterizing various aspects of individual peaks. We present the algorithms used and a model for creating a general quality score that evaluates peaks similarly to that of a human researcher. Our tool Cropper utilizes a graphical interface for inspecting, cropping a"],"journal":["BMC bioinformatics"],"pubmed_title":["Manhattan Harvester and Cropper: a system for GWAS peak detection."],"pmcid":["PMC6330393"],"funding_grant_id":["2014-2020.4.01.15-0012","692145","IUT20-60","R01DK075787","2014-2020.4.01.16-0125","R01 DK075787","633589"],"pubmed_authors":["Metspalu A","Haller T","Tasa T"],"additional_accession":[]},"is_claimable":false,"name":"Manhattan Harvester and Cropper: a system for GWAS peak detection.","description":"<h4>Background</h4>Selection of interesting regions from genome wide association studies (GWAS) is typically performed by eyeballing of Manhattan Plots. This is no longer possible with thousands of different phenotypes. There is a need for tools that can automatically detect genomic regions that correspond to what the experienced researcher perceives as peaks worthwhile of further study.<h4>Results</h4>We developed Manhattan Harvester, a tool designed for \"peak extraction\" from GWAS summary files and computation of parameters characterizing various aspects of individual peaks. We present the algorithms used and a model for creating a general quality score that evaluates peaks similarly to that of a human researcher. Our tool Cropper utilizes a graphical interface for inspecting, cropping a","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Jan","modification":"2025-04-25T17:31:29.377Z","creation":"2019-03-26T22:37:54Z"},"accession":"S-EPMC6330393","cross_references":{"pubmed":["30634901"],"doi":["10.1186/s12859-019-2600-4"]}}