{"id":"https://openalex.org/W2147640998","doi":"https://doi.org/10.1186/1471-2105-13-s16-s4","title":"Computational approaches to protein inference in shotgun proteomics","display_name":"Computational approaches to protein inference in shotgun proteomics","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2147640998","doi":"https://doi.org/10.1186/1471-2105-13-s16-s4","mag":"2147640998","pmid":"https://pubmed.ncbi.nlm.nih.gov/23176300"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-13-s16-s4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-13-s16-s4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-13-S16-S4","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-13-S16-S4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048125824","display_name":"Yong Fuga Li","orcid":"https://orcid.org/0000-0003-2116-3223"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Fuga Li","raw_affiliation_strings":["School of Informatics and Computing, Indiana University, Bloomington 150 S, Woodlawn Avenue, Bloomington, Indiana 47405, USA","School of Informatics and Computing, Indiana University, Bloomington 150 S. Woodlawn Avenue, Bloomington, Indiana, 47405, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics and Computing, Indiana University, Bloomington 150 S, Woodlawn Avenue, Bloomington, Indiana 47405, USA","institution_ids":["https://openalex.org/I4210119109"]},{"raw_affiliation_string":"School of Informatics and Computing, Indiana University, Bloomington 150 S. Woodlawn Avenue, Bloomington, Indiana, 47405, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051324698","display_name":"Predrag Radivojac","orcid":"https://orcid.org/0000-0002-6769-0793"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Predrag Radivojac","raw_affiliation_strings":["School of Informatics and Computing, Indiana University, Bloomington 150 S. Woodlawn Avenue, Bloomington, Indiana, 47405, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics and Computing, Indiana University, Bloomington 150 S. Woodlawn Avenue, Bloomington, Indiana, 47405, USA","institution_ids":["https://openalex.org/I4210119109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210119109"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2790},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2790},"fwci":3.7812,"has_fulltext":true,"cited_by_count":57,"citation_normalized_percentile":{"value":0.94438549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":"S16","first_page":"S4","last_page":"S4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.9987000226974487,"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/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shotgun-proteomics","display_name":"Shotgun proteomics","score":0.7695235013961792},{"id":"https://openalex.org/keywords/proteomics","display_name":"Proteomics","score":0.7210420370101929},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6593557000160217},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6448980569839478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6426243782043457},{"id":"https://openalex.org/keywords/proteome","display_name":"Proteome","score":0.6109169125556946},{"id":"https://openalex.org/keywords/shotgun","display_name":"Shotgun","score":0.4999582767486572},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4906593859195709},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4825684130191803},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4609997272491455},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41685599088668823},{"id":"https://openalex.org/keywords/tandem-mass-spectrometry","display_name":"Tandem mass spectrometry","score":0.4126376509666443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3149412274360657},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.24568456411361694},{"id":"https://openalex.org/keywords/mass-spectrometry","display_name":"Mass spectrometry","score":0.23900574445724487},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2194581925868988},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13888701796531677},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10342314839363098},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.07788416743278503}],"concepts":[{"id":"https://openalex.org/C68289359","wikidata":"https://www.wikidata.org/wiki/Q7502514","display_name":"Shotgun proteomics","level":4,"score":0.7695235013961792},{"id":"https://openalex.org/C46111723","wikidata":"https://www.wikidata.org/wiki/Q471857","display_name":"Proteomics","level":3,"score":0.7210420370101929},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6593557000160217},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6448980569839478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6426243782043457},{"id":"https://openalex.org/C104397665","wikidata":"https://www.wikidata.org/wiki/Q860947","display_name":"Proteome","level":2,"score":0.6109169125556946},{"id":"https://openalex.org/C2781434637","wikidata":"https://www.wikidata.org/wiki/Q486396","display_name":"Shotgun","level":3,"score":0.4999582767486572},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4906593859195709},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4825684130191803},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4609997272491455},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41685599088668823},{"id":"https://openalex.org/C31827203","wikidata":"https://www.wikidata.org/wiki/Q874296","display_name":"Tandem mass spectrometry","level":3,"score":0.4126376509666443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3149412274360657},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.24568456411361694},{"id":"https://openalex.org/C162356407","wikidata":"https://www.wikidata.org/wiki/Q180809","display_name":"Mass spectrometry","level":2,"score":0.23900574445724487},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2194581925868988},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13888701796531677},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10342314839363098},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.07788416743278503},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D002853","descriptor_name":"Chromatography, Liquid","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002853","descriptor_name":"Chromatography, Liquid","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002853","descriptor_name":"Chromatography, Liquid","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D053719","descriptor_name":"Tandem Mass Spectrometry","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D053719","descriptor_name":"Tandem Mass Spectrometry","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D053719","descriptor_name":"Tandem Mass Spectrometry","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/1471-2105-13-s16-s4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-13-s16-s4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-13-S16-S4","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:23176300","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23176300","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:f6cfcd31198146e1a44e139df53d82b2","is_oa":true,"landing_page_url":"https://doaj.org/article/f6cfcd31198146e1a44e139df53d82b2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 13, Iss Suppl 16, p S4 (2012)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3489551","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3489551","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-13-s16-s4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-13-s16-s4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-13-S16-S4","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3779923345","display_name":null,"funder_award_id":"RR024236-01A1","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G6647425960","display_name":null,"funder_award_id":"CA126480-01","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320337375","display_name":"National Center for Research Resources","ror":"https://ror.org/04pw6fb54"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2147640998.pdf","grobid_xml":"https://content.openalex.org/works/W2147640998.grobid-xml"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W1491689717","https://openalex.org/W1543113652","https://openalex.org/W1564058497","https://openalex.org/W1572033224","https://openalex.org/W1854866626","https://openalex.org/W1968063944","https://openalex.org/W1977972652","https://openalex.org/W1980452149","https://openalex.org/W1981593008","https://openalex.org/W1982411844","https://openalex.org/W1985524611","https://openalex.org/W1986873950","https://openalex.org/W1988667155","https://openalex.org/W1990273811","https://openalex.org/W1991060702","https://openalex.org/W1991518289","https://openalex.org/W1998783212","https://openalex.org/W1999751815","https://openalex.org/W1999908525","https://openalex.org/W2007683306","https://openalex.org/W2012883289","https://openalex.org/W2015556811","https://openalex.org/W2017064873","https://openalex.org/W2023096047","https://openalex.org/W2024141877","https://openalex.org/W2025339182","https://openalex.org/W2026465178","https://openalex.org/W2030367381","https://openalex.org/W2030578978","https://openalex.org/W2043285998","https://openalex.org/W2048773508","https://openalex.org/W2053573662","https://openalex.org/W2054049489","https://openalex.org/W2064745516","https://openalex.org/W2072088274","https://openalex.org/W2072099326","https://openalex.org/W2072592470","https://openalex.org/W2073637473","https://openalex.org/W2075036506","https://openalex.org/W2080741498","https://openalex.org/W2081380834","https://openalex.org/W2089492568","https://openalex.org/W2089960919","https://openalex.org/W2090960505","https://openalex.org/W2091375086","https://openalex.org/W2092485848","https://openalex.org/W2095983933","https://openalex.org/W2096057003","https://openalex.org/W2097058336","https://openalex.org/W2098039318","https://openalex.org/W2100768052","https://openalex.org/W2102572519","https://openalex.org/W2110603815","https://openalex.org/W2112078820","https://openalex.org/W2112521411","https://openalex.org/W2113765377","https://openalex.org/W2118979449","https://openalex.org/W2118993019","https://openalex.org/W2119190889","https://openalex.org/W2124907615","https://openalex.org/W2124921655","https://openalex.org/W2129450490","https://openalex.org/W2129897014","https://openalex.org/W2136441889","https://openalex.org/W2137043026","https://openalex.org/W2139854553","https://openalex.org/W2141458721","https://openalex.org/W2144154273","https://openalex.org/W2144791567","https://openalex.org/W2146405127","https://openalex.org/W2148342439","https://openalex.org/W2148364245","https://openalex.org/W2155443196","https://openalex.org/W2155553629","https://openalex.org/W2155792164","https://openalex.org/W2157961977","https://openalex.org/W2162103775","https://openalex.org/W2168424584","https://openalex.org/W2172116519","https://openalex.org/W3099467071","https://openalex.org/W3104595043","https://openalex.org/W4200351727","https://openalex.org/W4242753776"],"related_works":["https://openalex.org/W2036789867","https://openalex.org/W4299663967","https://openalex.org/W1982829397","https://openalex.org/W2371475667","https://openalex.org/W2971480178","https://openalex.org/W2046727518","https://openalex.org/W2106414650","https://openalex.org/W1998648829","https://openalex.org/W2121165269","https://openalex.org/W2347437365"],"abstract_inverted_index":{"Shotgun":[0],"proteomics":[1,49],"has":[2,73],"recently":[3],"emerged":[4],"as":[5,76],"a":[6,29,41,71,96,117,122],"powerful":[7],"approach":[8],"to":[9,19,54,92,104,127],"characterizing":[10],"proteomes":[11],"in":[12,28,70,176],"biological":[13],"samples.":[14],"Its":[15],"overall":[16],"objective":[17],"is":[18,115],"identify":[20],"the":[21,55,65,108,159,170],"form":[22],"and":[23,57,99,106,142,146,152,165],"quantity":[24],"of":[25,43,59,67,85,110,124,162,172],"each":[26],"protein":[27,97,163],"high-throughput":[30],"manner":[31],"by":[32],"coupling":[33],"liquid":[34],"chromatography":[35],"with":[36,52,121,169],"tandem":[37,89],"mass":[38,90],"spectrometry.":[39],"As":[40],"consequence":[42],"its":[44,129],"high":[45],"throughput":[46],"nature,":[47],"shotgun":[48],"faces":[50],"challenges":[51,161],"respect":[53],"analysis":[56],"interpretation":[58],"experimental":[60,88],"data.":[61],"Among":[62],"such":[63],"challenges,":[64],"identification":[66,114,164],"proteins":[68,105],"present":[69,147],"sample":[72],"been":[74],"recognized":[75],"an":[77],"important":[78],"computational":[79],"task.":[80],"This":[81],"task":[82],"generally":[83],"consists":[84],"(1)":[86],"assigning":[87],"spectra":[91],"peptides":[93,103],"derived":[94],"from":[95],"database,":[98],"(2)":[100],"mapping":[101],"assigned":[102],"quantifying":[107],"confidence":[109],"identified":[111],"proteins.":[112],"Protein":[113],"fundamentally":[116],"statistical":[118],"inference":[119,144,154],"problem":[120],"number":[123],"methods":[125],"proposed":[126],"address":[128],"challenges.":[130],"In":[131],"this":[132,177],"review":[133],"we":[134],"categorize":[135],"current":[136],"approaches":[137],"into":[138],"rule-based,":[139],"combinatorial":[140],"optimization":[141],"probabilistic":[143],"techniques,":[145],"them":[148],"using":[149],"integer":[150],"programming":[151],"Bayesian":[153],"frameworks.":[155],"We":[156],"also":[157],"discuss":[158],"main":[160],"propose":[166],"potential":[167],"solutions":[168],"goal":[171],"spurring":[173],"innovative":[174],"research":[175],"area.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
