{"id":"https://openalex.org/W1674493795","doi":"https://doi.org/10.1109/ssdm.2003.1214975","title":"PiQA: an algebra for querying protein data sets","display_name":"PiQA: an algebra for querying protein data sets","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W1674493795","doi":"https://doi.org/10.1109/ssdm.2003.1214975","mag":"1674493795"},"language":"en","primary_location":{"id":"doi:10.1109/ssdm.2003.1214975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssdm.2003.1214975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"15th International Conference on Scientific and Statistical Database Management, 2003.","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/A5102945075","display_name":"Sandeep Tata","orcid":"https://orcid.org/0009-0007-7785-5516"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. Tata","raw_affiliation_strings":["Michigan Univ., Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan Univ., Ann Arbor, MI, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069237428","display_name":"Jignesh M. Patel","orcid":"https://orcid.org/0000-0003-3653-2538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.M. Patel","raw_affiliation_strings":["Michigan Univ., Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan Univ., Ann Arbor, MI, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102945075"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7412,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90600391,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9972000122070312,"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/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.9887999892234802,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9886000156402588,"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":0.7503845691680908},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4911477267742157},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.48361459374427795},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4687027633190155},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4451959729194641},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42927679419517517},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42627331614494324},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3522540032863617},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10274931788444519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503845691680908},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4911477267742157},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.48361459374427795},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4687027633190155},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4451959729194641},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42927679419517517},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42627331614494324},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3522540032863617},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10274931788444519},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssdm.2003.1214975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssdm.2003.1214975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"15th International Conference on Scientific and Statistical Database Management, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W44455571","https://openalex.org/W135323631","https://openalex.org/W1772241369","https://openalex.org/W1865801528","https://openalex.org/W1969375478","https://openalex.org/W1993863827","https://openalex.org/W2005471433","https://openalex.org/W2021639324","https://openalex.org/W2047544230","https://openalex.org/W2055043387","https://openalex.org/W2059267851","https://openalex.org/W2081053428","https://openalex.org/W2107010419","https://openalex.org/W2109221906","https://openalex.org/W2124070418","https://openalex.org/W2127057359","https://openalex.org/W2130479394","https://openalex.org/W2135043797","https://openalex.org/W2150854892","https://openalex.org/W2157800318","https://openalex.org/W2158714788","https://openalex.org/W2161922248","https://openalex.org/W2185907055","https://openalex.org/W2988119170","https://openalex.org/W4230524569","https://openalex.org/W4236236547","https://openalex.org/W4240624163","https://openalex.org/W6605531863","https://openalex.org/W6682522011","https://openalex.org/W6683206772"],"related_works":["https://openalex.org/W2098306546","https://openalex.org/W1541541441","https://openalex.org/W2091192301","https://openalex.org/W4233387348","https://openalex.org/W2014415869","https://openalex.org/W2161902337","https://openalex.org/W1536405386","https://openalex.org/W2363027842","https://openalex.org/W2379157006","https://openalex.org/W1577931867"],"abstract_inverted_index":{"Life":[0],"science":[1],"researchers":[2],"frequently":[3],"need":[4],"to":[5,67],"query":[6,193],"large":[7],"protein":[8,231],"data":[9,18,232],"sets":[10,19],"in":[11,206,215],"a":[12,21,33,46,127,147,153,225],"variety":[13],"of":[14,35,48,51,82,91,115,132,156,166,185,224],"different":[15],"ways.":[16],"Protein":[17,148],"have":[20],"rich":[22,154],"structure":[23,74,165,184],"that":[24,109,192,219],"includes":[25],"its":[26,39],"primary":[27,162,180,197],"structure,":[28,41,198],"which":[29,42,151],"is":[30,43,64,210],"described":[31,44],"as":[32,45,59,126,200],"sequence":[34,47,63],"amino":[36,61],"acids,":[37],"and":[38,71,125,163,181],"secondary":[40,73,164,183],"folding":[49],"patterns":[50],"the":[52,60,72,80,107,133,138,161,179,182,196,222],"protein.":[53],"Both":[54],"these":[55,92,104,116],"structures":[56,93,117],"are":[57,86,96,118],"important":[58,77,212],"acid":[62],"often":[65],"used":[66],"find":[68],"homologous":[69],"proteins,":[70],"can":[75,171,202,220],"produce":[76],"hints":[78],"about":[79],"functionality":[81],"proteins.":[83,167,186],"While":[84],"there":[85,95],"tools":[87,98,108,134,191],"for":[88,99,229],"querying":[89,101,111,227,230],"each":[90],"independently,":[94],"no":[97],"declarative":[100,226],"on":[102,112,121,159,195],"both":[103,160,178],"structures.":[105],"Even":[106],"allow":[110],"either":[113],"one":[114,170],"not":[119],"based":[120],"any":[122],"formal":[123],"algebra,":[124],"result":[128],"require":[129],"complex":[130,175],"rewriting":[131],"programming":[135],"logic":[136],"when":[137],"\"query":[139],"evaluation":[140],"plan\"":[141],"changes.":[142],"This":[143],"paper":[144],"introduces":[145],"PiQA,":[146],"Query":[149],"Algebra,":[150],"provides":[152],"set":[155],"algebraic":[157],"operations":[158],"Using":[168],"PiQA":[169,209],"pose":[172],"several":[173],"interesting":[174],"queries":[176],"involving":[177],"In":[187],"addition,":[188],"simple":[189],"existing":[190],"only":[194],"such":[199],"BLAST,":[201],"also":[203],"be":[204],"expressed":[205],"this":[207],"algebra.":[208],"an":[211,217],"first":[213],"step":[214],"developing":[216],"algebra":[218],"form":[221],"basis":[223],"language":[228],"sets.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
