{"id":"https://openalex.org/W2024143985","doi":"https://doi.org/10.1186/1471-2105-15-s15-s10","title":"Compression of next-generation sequencing quality scores using memetic algorithm","display_name":"Compression of next-generation sequencing quality scores using memetic algorithm","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2024143985","doi":"https://doi.org/10.1186/1471-2105-15-s15-s10","mag":"2024143985","pmid":"https://pubmed.ncbi.nlm.nih.gov/25474747"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-15-s15-s10","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-s15-s10","pdf_url":"https://link.springer.com/content/pdf/10.1186/1471-2105-15-S15-S10.pdf","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://link.springer.com/content/pdf/10.1186/1471-2105-15-S15-S10.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102003322","display_name":"Jiarui Zhou","orcid":"https://orcid.org/0009-0009-5396-6988"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarui Zhou","raw_affiliation_strings":["College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China","Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China","College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China","Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025341885","display_name":"Zhen Ji","orcid":"https://orcid.org/0000-0003-4006-7456"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Ji","raw_affiliation_strings":["Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China","Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052762681","display_name":"Zexuan Zhu","orcid":"https://orcid.org/0000-0001-8479-6904"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexuan Zhu","raw_affiliation_strings":["Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China","Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011186506","display_name":"Shan He","orcid":"https://orcid.org/0000-0003-1694-1465"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shan He","raw_affiliation_strings":["School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK","School of Computer Science, University of Birmingham, Birmingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"School of Computer Science, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025341885"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":4.9702,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95229436,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"S15","first_page":"S10","last_page":"S10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.8772000074386597,"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":0.8772000074386597,"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/T12029","display_name":"DNA and Biological Computing","score":0.05310000106692314,"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":0.011099999770522118,"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":0.7541818618774414},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.743041455745697},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6741336584091187},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6664577722549438},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5604925155639648},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5580219626426697},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5304244160652161},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48109790682792664},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.44796988368034363},{"id":"https://openalex.org/keywords/dna-sequencing","display_name":"DNA sequencing","score":0.4220898151397705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25564080476760864},{"id":"https://openalex.org/keywords/dna","display_name":"DNA","score":0.10379675030708313},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08293083310127258}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541818618774414},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.743041455745697},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6741336584091187},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6664577722549438},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5604925155639648},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5580219626426697},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5304244160652161},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48109790682792664},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.44796988368034363},{"id":"https://openalex.org/C51679486","wikidata":"https://www.wikidata.org/wiki/Q380546","display_name":"DNA sequencing","level":3,"score":0.4220898151397705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25564080476760864},{"id":"https://openalex.org/C552990157","wikidata":"https://www.wikidata.org/wiki/Q7430","display_name":"DNA","level":2,"score":0.10379675030708313},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08293083310127258},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/1471-2105-15-s15-s10","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-s15-s10","pdf_url":"https://link.springer.com/content/pdf/10.1186/1471-2105-15-S15-S10.pdf","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:25474747","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25474747","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:pubmedcentral.nih.gov:4271560","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4271560","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"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/46c4a0cf-046a-4d56-9e9c-27d5910327fc","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/46c4a0cf-046a-4d56-9e9c-27d5910327fc","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"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":"Zhou, J, Ji, Z, Zhu, Z & He, S 2014, 'Compression of next-generation sequencing quality scores using memetic algorithm', BMC Bioinformatics, vol. 15, 10. https://doi.org/10.1186/1471-2105-15-S15-S10","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-15-s15-s10","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-s15-s10","pdf_url":"https://link.springer.com/content/pdf/10.1186/1471-2105-15-S15-S10.pdf","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":[],"awards":[{"id":"https://openalex.org/G3653525014","display_name":null,"funder_award_id":"U1201256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5801539079","display_name":null,"funder_award_id":"S2012010009545","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6364900093","display_name":"\u4ee3\u8c22\u7ec4\u5b66\u4e2d\u7684\u751f\u7269\u542f\u53d1\u5f0f\u9ad8\u7ef4\u6570\u636e\u7279\u5f81\u9009\u62e9\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61171125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2024143985.pdf","grobid_xml":"https://content.openalex.org/works/W2024143985.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1496503345","https://openalex.org/W1595159159","https://openalex.org/W1986094003","https://openalex.org/W2010928148","https://openalex.org/W2034337154","https://openalex.org/W2085522429","https://openalex.org/W2090123586","https://openalex.org/W2092880969","https://openalex.org/W2093931624","https://openalex.org/W2097437812","https://openalex.org/W2099655666","https://openalex.org/W2102559904","https://openalex.org/W2104274529","https://openalex.org/W2111044311","https://openalex.org/W2116041602","https://openalex.org/W2117608012","https://openalex.org/W2131106408","https://openalex.org/W2142619464","https://openalex.org/W2143423077","https://openalex.org/W2150248355","https://openalex.org/W2166588423","https://openalex.org/W2170682402","https://openalex.org/W2624262714","https://openalex.org/W2949149780","https://openalex.org/W4211036921"],"related_works":["https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W3180760233","https://openalex.org/W1970394887","https://openalex.org/W3035703949","https://openalex.org/W4247601675","https://openalex.org/W755971114","https://openalex.org/W2118338613","https://openalex.org/W1982468865","https://openalex.org/W3080614128"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,60,80,132],"exponential":[2],"growth":[3],"of":[4,124],"next-generation":[5],"sequencing":[6],"(NGS)":[7],"derived":[8],"DNA":[9,27],"data":[10,15,56,82,96,129,139],"poses":[11],"great":[12],"challenges":[13],"to":[14,37,145],"storage":[16],"and":[17,71],"transmission.":[18],"Although":[19],"many":[20],"compression":[21,73,103,116,122,149],"algorithms":[22],"have":[23],"been":[24],"proposed":[25,133],"for":[26],"reads":[28],"in":[29,86],"NGS":[30,53,95,136],"data,":[31],"few":[32],"methods":[33],"are":[34],"designed":[35],"specifically":[36],"handle":[38],"the":[39,106,127,147],"quality":[40,54,64,137],"scores.":[41],"RESULTS:":[42],"In":[43],"this":[44],"paper":[45],"we":[46],"present":[47],"a":[48,87,113],"memetic":[49],"algorithm":[50,61],"(MA)":[51],"based":[52,77],"score":[55,65,138],"compressor,":[57],"namely":[58],"MMQSC.":[59],"extracts":[62],"raw":[63],"sequences":[66],"from":[67],"FASTQ":[68,152],"formatted":[69,153],"files,":[70],"designs":[72],"codebook":[74],"using":[75],"MA":[76],"multimodal":[78],"optimization.":[79],"input":[81],"is":[83,112],"then":[84],"compressed":[85],"substitutional":[88],"manner.":[89],"Experimental":[90],"results":[91],"on":[92,126,151],"five":[93],"representative":[94],"sets":[97],"show":[98],"that":[99],"MMQSC":[100,111,134],"obtains":[101,119],"higher":[102],"ratio":[104,123,150],"than":[105],"other":[107],"state-of-the-art":[108],"methods.":[109],"Particularly,":[110],"lossless":[114],"reference-free":[115],"algorithm,":[117],"yet":[118],"an":[120],"average":[121],"22.82%":[125],"experimental":[128],"sets.":[130],"CONCLUSIONS:":[131],"compresses":[135],"effectively.":[140],"It":[141],"can":[142],"be":[143],"utilized":[144],"improve":[146],"overall":[148],"files.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}
