{"id":"https://openalex.org/W2057628110","doi":"https://doi.org/10.1145/1188455.1188769","title":"Analytics challenge---High-throughput visual analytics biological sciences","display_name":"Analytics challenge---High-throughput visual analytics biological sciences","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2057628110","doi":"https://doi.org/10.1145/1188455.1188769","mag":"2057628110"},"language":"en","primary_location":{"id":"doi:10.1145/1188455.1188769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1188455.1188769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing  - SC '06","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/A5013287908","display_name":"Christopher Oehmen","orcid":"https://orcid.org/0009-0004-5246-930X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher S Oehmen","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103547404","display_name":"Mudita Singhal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mudita Singhal","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113935679","display_name":"Anuj Shah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anuj Shah","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078775961","display_name":"Kyle R. Klicker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kyle Klicker","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055701440","display_name":"Lee Ann McCue","orcid":"https://orcid.org/0000-0003-4456-517X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee Ann McCue","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089245822","display_name":"Joshua Adkins","orcid":"https://orcid.org/0000-0003-0399-0700"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joshua N. Adkins","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053476989","display_name":"Katrina M. Waters","orcid":"https://orcid.org/0000-0003-4696-5396"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katrina Waters","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059352404","display_name":"Tim Carlson","orcid":"https://orcid.org/0009-0004-0688-8028"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tim Carlson","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058577320","display_name":"William R. Cannon","orcid":"https://orcid.org/0000-0003-3789-7889"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"William R. Cannon","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020443342","display_name":"Bobbie\u2010Jo Webb\u2010Robertson","orcid":"https://orcid.org/0000-0002-4744-2397"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bobbie-Jo Webb-Robertson","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021728091","display_name":"Douglas Baxter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Douglas Baxter","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040788704","display_name":"Elena Peterson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elena Peterson","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1259374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"299","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9800000190734863,"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":0.7574176788330078},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7511914372444153},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.739148736000061},{"id":"https://openalex.org/keywords/kegg","display_name":"KEGG","score":0.71942538022995},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6563900709152222},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5914950966835022},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.48877283930778503},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4728394150733948},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4629209041595459},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.45966896414756775},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.29326415061950684},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2795925438404083},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2286756932735443},{"id":"https://openalex.org/keywords/gene-ontology","display_name":"Gene ontology","score":0.17833906412124634},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11824968457221985},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09461790323257446}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574176788330078},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7511914372444153},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.739148736000061},{"id":"https://openalex.org/C152724338","wikidata":"https://www.wikidata.org/wiki/Q909442","display_name":"KEGG","level":5,"score":0.71942538022995},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6563900709152222},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5914950966835022},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48877283930778503},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4728394150733948},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4629209041595459},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.45966896414756775},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.29326415061950684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2795925438404083},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2286756932735443},{"id":"https://openalex.org/C2987395477","wikidata":"https://www.wikidata.org/wiki/Q135085","display_name":"Gene ontology","level":4,"score":0.17833906412124634},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11824968457221985},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09461790323257446},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1188455.1188769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1188455.1188769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM/IEEE conference on Supercomputing  - SC '06","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":0,"referenced_works":[],"related_works":["https://openalex.org/W4367333290","https://openalex.org/W2463183163","https://openalex.org/W2019038080","https://openalex.org/W4210310791","https://openalex.org/W2062940763","https://openalex.org/W2937343495","https://openalex.org/W4360833258","https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W3092201768"],"abstract_inverted_index":{"For":[0],"the":[1,34,94],"SC|06":[2],"analytics":[3,52,78],"challenge,":[4],"we":[5],"demonstrate":[6],"an":[7],"end-to-end":[8],"solution":[9],"for":[10,133],"processing":[11],"data":[12,47,99,126,136],"produced":[13],"by":[14,62],"high-throughput":[15,51],"mass":[16],"spectrometry":[17],"(MS)-based":[18],"proteomics":[19],"so":[20],"biological":[21,135],"hypotheses":[22],"can":[23,119],"be":[24,87],"explored.":[25],"This":[26],"approach":[27],"is":[28],"based":[29],"on":[30],"a":[31,54,63,117,128],"tool":[32],"called":[33],"Bioinformatics":[35],"Resource":[36],"Manager":[37],"(BRM)":[38],"which":[39,67],"will":[40],"interact":[41],"with":[42],"high-performance":[43,64],"architecture":[44],"and":[45,109],"experimental":[46,56,122],"sources":[48],"to":[49,53,71,89,124,139],"provide":[50],"specific":[55],"dataset.":[57],"Peptide":[58],"identification":[59],"was":[60,115],"achieved":[61],"code,":[65],"Polygraph,":[66],"has":[68],"been":[69],"shown":[70],"scale":[72],"well":[73],"beyond":[74],"1000":[75],"processors.":[76],"Visual":[77],"applications":[79],"such":[80,103],"as":[81,104],"PQuad,":[82],"Cytoscape,":[83],"or":[84],"others":[85],"may":[86],"used":[88],"visualize":[90],"protein":[91],"identities":[92],"in":[93,127],"context":[95],"of":[96,107],"pathways":[97],"using":[98],"from":[100,121,137],"public":[101],"repositories":[102],"Kyoto":[105],"Encyclopedia":[106],"Genes":[108],"Genomes":[110],"(KEGG).":[111],"The":[112],"end":[113],"result":[114],"that":[116],"user":[118],"go":[120],"spectra":[123],"pathway":[125],"single":[129],"workflow":[130],"reducing":[131],"time-to-solution":[132],"analyzing":[134],"weeks":[138],"minutes.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}