{"id":"https://openalex.org/W2621428960","doi":"https://doi.org/10.1016/j.procs.2017.05.210","title":"Fast Genome-Wide Third-order SNP Interaction Tests with Information Gain on a Low-cost Heterogeneous Parallel FPGA-GPU Computing Architecture","display_name":"Fast Genome-Wide Third-order SNP Interaction Tests with Information Gain on a Low-cost Heterogeneous Parallel FPGA-GPU Computing Architecture","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2621428960","doi":"https://doi.org/10.1016/j.procs.2017.05.210","mag":"2621428960"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2017.05.210","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2017.05.210","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2017.05.210","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003785979","display_name":"Lars Wienbrandt","orcid":"https://orcid.org/0000-0001-5685-2032"},"institutions":[{"id":"https://openalex.org/I32021983","display_name":"Christian-Albrechts-Universit\u00e4t zu Kiel","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lars Wienbrandt","raw_affiliation_strings":["Institute of Clinical Molecular Biology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Clinical Molecular Biology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Germany","institution_ids":["https://openalex.org/I32021983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086592721","display_name":"Jan Christian K\u00e4ssens","orcid":"https://orcid.org/0000-0001-7840-1160"},"institutions":[{"id":"https://openalex.org/I32021983","display_name":"Christian-Albrechts-Universit\u00e4t zu Kiel","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jan Christian Kassens","raw_affiliation_strings":["Institute of Clinical Molecular Biology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Clinical Molecular Biology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Germany","institution_ids":["https://openalex.org/I32021983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076942430","display_name":"Matthias H\u00fcbenthal","orcid":"https://orcid.org/0000-0002-5956-3006"},"institutions":[{"id":"https://openalex.org/I32021983","display_name":"Christian-Albrechts-Universit\u00e4t zu Kiel","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Matthias H\u00fcbenthal","raw_affiliation_strings":["Institute of Clinical Molecular Biology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Clinical Molecular Biology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Germany","institution_ids":["https://openalex.org/I32021983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012331187","display_name":"David Ellinghaus","orcid":"https://orcid.org/0000-0002-4332-6110"},"institutions":[{"id":"https://openalex.org/I32021983","display_name":"Christian-Albrechts-Universit\u00e4t zu Kiel","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"David Ellinghaus","raw_affiliation_strings":["Institute of Clinical Molecular Biology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Clinical Molecular Biology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel University, Germany","institution_ids":["https://openalex.org/I32021983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003785979","https://openalex.org/A5012331187","https://openalex.org/A5076942430","https://openalex.org/A5086592721"],"corresponding_institution_ids":["https://openalex.org/I32021983"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"108","issue":null,"first_page":"596","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8780052065849304},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6906741857528687},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6751863360404968},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5079951882362366},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.43082261085510254},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4267512857913971},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22322022914886475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1770632266998291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8780052065849304},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6906741857528687},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6751863360404968},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5079951882362366},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.43082261085510254},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4267512857913971},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22322022914886475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1770632266998291},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2017.05.210","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2017.05.210","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2017.05.210","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2017.05.210","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W137810137","https://openalex.org/W1516560083","https://openalex.org/W1822695366","https://openalex.org/W1966271560","https://openalex.org/W1981723690","https://openalex.org/W2003631473","https://openalex.org/W2035740120","https://openalex.org/W2046316315","https://openalex.org/W2070644791","https://openalex.org/W2073835783","https://openalex.org/W2094553793","https://openalex.org/W2096128091","https://openalex.org/W2097508746","https://openalex.org/W2100015718","https://openalex.org/W2105842551","https://openalex.org/W2112966225","https://openalex.org/W2117138514","https://openalex.org/W2134783591","https://openalex.org/W2136186575","https://openalex.org/W2137655966","https://openalex.org/W2155781289","https://openalex.org/W2156972843","https://openalex.org/W2161633633","https://openalex.org/W2533949033","https://openalex.org/W2557509853","https://openalex.org/W2559028527","https://openalex.org/W6605620451"],"related_works":["https://openalex.org/W2317245370","https://openalex.org/W4249323025","https://openalex.org/W198851386","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W1980160788","https://openalex.org/W2148915962","https://openalex.org/W2283866686","https://openalex.org/W2319266294","https://openalex.org/W4287182096"],"abstract_inverted_index":{"Complex":[0],"diseases":[1],"may":[2],"result":[3],"from":[4],"many":[5],"genetic":[6],"variants":[7],"interacting":[8],"with":[9,92],"each":[10],"other.":[11],"For":[12],"this":[13,60],"reason,":[14],"genome-wide":[15,132],"interaction":[16],"studies":[17],"(GWIS)":[18],"are":[19],"currently":[20],"performed":[21],"to":[22,43,52],"detect":[23,44],"pairwise":[24,136],"SNP":[25,46],"interactions.":[26],"While":[27],"the":[28,53,57,139],"computations":[29],"required":[30],"here":[31],"can":[32],"be":[33],"completed":[34],"within":[35],"reasonable":[36],"time,":[37],"it":[38],"has":[39,127],"been":[40,128],"inconvenient":[41],"yet":[42],"third-order":[45,68,117],"interactions":[47,118,137],"for":[48,67,135],"large-scale":[49],"datasets":[50],"due":[51],"cubic":[54],"complexity":[55],"of":[56,71,105,116],"problem.":[58],"In":[59],"paper":[61],"we":[62,119],"introduce":[63],"a":[64,75,82,86,99,103,109,124,131],"feasible":[65],"method":[66],"GWIS":[69],"analysis":[70],"genotyping":[72],"data":[73],"on":[74,130],"low-cost":[76],"heterogeneous":[77],"computing":[78],"system":[79],"that":[80,126],"combines":[81],"Virtex-7":[83],"FPGA":[84],"and":[85,96,102],"GeForce":[87],"GTX":[88],"780":[89],"Ti":[90],"GPU,":[91],"speedups":[93],"between":[94],"70":[95],"90":[97],"against":[98,108],"CPU-only":[100],"approach":[101],"speedup":[104],"approx.":[106],"5":[107],"GPU-only":[110],"approach.":[111],"To":[112],"estimate":[113],"effect":[114],"sizes":[115],"employed":[120],"information":[121],"gain":[122],"(IG),":[123],"measure":[125],"applied":[129],"scale":[133],"only":[134],"in":[138],"literature":[140],"yet.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}