{"id":"https://openalex.org/W2771995562","doi":"https://doi.org/10.1145/3148055.3148072","title":"Genomics Analyser","display_name":"Genomics Analyser","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2771995562","doi":"https://doi.org/10.1145/3148055.3148072","mag":"2771995562"},"language":"en","primary_location":{"id":"doi:10.1145/3148055.3148072","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148055.3148072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020627854","display_name":"Tariq Abdullah","orcid":"https://orcid.org/0000-0003-4189-4007"},"institutions":[{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tariq Abdullah","raw_affiliation_strings":["University of Derby, Derby, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Derby, Derby, United Kingdom","institution_ids":["https://openalex.org/I22128151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062095042","display_name":"Ahmed Ahmet","orcid":"https://orcid.org/0000-0001-8518-1709"},"institutions":[{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ahmed Ahmet","raw_affiliation_strings":["University of Derby, Derby, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Derby, Derby, United Kingdom","institution_ids":["https://openalex.org/I22128151"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22128151"],"apc_list":null,"apc_paid":null,"fwci":0.3365,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61478385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"189","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9925000071525574,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.7329705357551575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7158777117729187},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6245898604393005},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5368149280548096},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4587886333465576},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.45169752836227417},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.45159339904785156},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4168861508369446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.367313951253891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14809110760688782},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12982121109962463},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.1070476770401001},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.07819780707359314}],"concepts":[{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.7329705357551575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7158777117729187},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6245898604393005},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5368149280548096},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4587886333465576},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45169752836227417},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.45159339904785156},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4168861508369446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.367313951253891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14809110760688782},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12982121109962463},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.1070476770401001},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07819780707359314},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3148055.3148072","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148055.3148072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1916919897","https://openalex.org/W1982455101","https://openalex.org/W2024872854","https://openalex.org/W2063652569","https://openalex.org/W2065783627","https://openalex.org/W2109701112","https://openalex.org/W2117798581","https://openalex.org/W2121762798","https://openalex.org/W2135277010","https://openalex.org/W2191556466","https://openalex.org/W4212865600"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138","https://openalex.org/W2743976221"],"abstract_inverted_index":{"Abstract":[0],"Genomics":[1,69],"data":[2,20,34,49,56,70,81,92,123,128,138,155,167,176,183,190,197,211,259,267],"is":[3,12,235,273,276],"unstructured":[4,153],"and":[5,15,29,43,60,88,102,164,184,239,275],"mostly":[6],"stored":[7],"on":[8,90,104],"hard":[9],"disks.":[10],"It":[11,151],"both":[13,143],"technically":[14],"culturally":[16],"residing":[17],"in":[18,40,121,160,187],"big":[19],"domain":[21],"due":[22],"to":[23,53,237],"the":[24,110,126,144,188,195,209,241,244,251,257],"challenges":[25],"of":[26,33,77,113,146,215,232,243,256],"volume,":[27],"velocity":[28],"variety.":[30],"Huge":[31],"volumes":[32],"are":[35,51,84,109],"generated":[36],"from":[37,156,264],"diverse":[38],"sources":[39],"different":[41],"formats":[42,57],"at":[44],"a":[45,65,75,136,161,169,213],"high":[46,279,282],"frequency.":[47],"Appropriate":[48],"models":[50],"required":[52,62],"accommodate":[54],"these":[55],"for":[58,74,94,207,212],"analysing":[59,208],"producing":[61],"results":[63,248],"with":[64,281],"quick":[66],"response":[67],"time.":[68],"can":[71,177],"be":[72,178],"analysed":[73],"variety":[76,214],"purposes.":[78],"Existing":[79],"genomics":[80,115,122,137,148,154,175,189,210,258,266],"analysis":[82,96,107,116,139,149,205,260,268],"pipelines":[83],"disk":[85,99],"I/O":[86,100],"intensive":[87],"focus":[89,103],"optimizing":[91,105],"processing":[93],"individual":[95,106],"tasks.":[97],"Intensive":[98],"operations":[101],"tasks":[108],"biggest":[111],"bottleneck":[112],"existing":[114,147,265],"pipelines.":[117,150,269],"Making":[118],"any":[119,181],"updates":[120],"require":[124,193],"reading":[125,194],"whole":[127,196],"set":[129],"again.":[130],"In":[131,172],"this":[132,166,173],"paper,":[133],"we":[134],"present":[135],"framework":[140,200,252],"that":[141,250],"addresses":[142],"issues":[145],"reads":[152],"sources,":[157],"transforms":[158],"it":[159],"structured":[162],"format":[163],"stores":[165],"into":[168],"NoSQL":[170],"database.":[171],"way,":[174],"queried":[179],"like":[180,217],"other":[182],"an":[185,203],"update":[186],"does":[191],"not":[192],"set.":[198],"The":[199],"also":[201],"presents":[202],"efficient":[204],"pipeline":[206,261],"purposes":[216],"genotype":[218,233],"clustering,":[219],"gene":[220,226],"expression":[221],"microarrays,":[222],"chromosome":[223],"variations":[224],"or":[225],"linkage":[227],"analysis.":[228],"A":[229],"case":[230],"study":[231],"clustering":[234],"presented":[236,245],"demonstrate":[238],"evaluate":[240],"effectiveness":[242],"framework.":[246],"Our":[247],"show":[249],"improves":[253],"overall":[254],"performance":[255,280],"by":[262],"49%":[263],"Furthermore,":[270],"our":[271],"approach":[272],"robust":[274],"able":[277],"sustain":[278],"system":[283],"workloads.":[284]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2017-12-22T00:00:00"}
