{"id":"https://openalex.org/W2064176149","doi":"https://doi.org/10.1186/1471-2105-14-s11-s7","title":"An efficient and scalable graph modeling approach for capturing information at different levels in next generation sequencing reads","display_name":"An efficient and scalable graph modeling approach for capturing information at different levels in next generation sequencing reads","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2064176149","doi":"https://doi.org/10.1186/1471-2105-14-s11-s7","mag":"2064176149","pmid":"https://pubmed.ncbi.nlm.nih.gov/24564333"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-14-s11-s7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s11-s7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-S11-S7","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/counter/pdf/10.1186/1471-2105-14-S11-S7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036842977","display_name":"Julia Warnke-Sommer","orcid":"https://orcid.org/0000-0003-2263-8972"},"institutions":[{"id":"https://openalex.org/I59130452","display_name":"University of Nebraska Medical Center","ror":"https://ror.org/00thqtb16","country_code":"US","type":"funder","lineage":["https://openalex.org/I59130452"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Julia D Warnke","raw_affiliation_strings":["Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, 68198, USA","Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha,, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, 68198, USA","institution_ids":["https://openalex.org/I59130452"]},{"raw_affiliation_string":"Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha,, USA","institution_ids":["https://openalex.org/I59130452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047703641","display_name":"Hesham Ali","orcid":"https://orcid.org/0000-0001-6675-7987"},"institutions":[{"id":"https://openalex.org/I122266389","display_name":"University of Nebraska at Omaha","ror":"https://ror.org/04yrkc140","country_code":"US","type":"education","lineage":["https://openalex.org/I122266389"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hesham H Ali","raw_affiliation_strings":["College of Information Technology, University of Nebraska at Omaha, Omaha, NE, 68182, USA","College of Information Technology, University of Nebraska at Omaha, Omaha, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Technology, University of Nebraska at Omaha, Omaha, NE, 68182, USA","institution_ids":["https://openalex.org/I122266389"]},{"raw_affiliation_string":"College of Information Technology, University of Nebraska at Omaha, Omaha, USA","institution_ids":["https://openalex.org/I122266389"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036842977"],"corresponding_institution_ids":["https://openalex.org/I59130452"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.1496,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57118593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"14","issue":"S11","first_page":"S7","last_page":"S7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.6410999894142151,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.6410999894142151,"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/T11642","display_name":"Genomics and Rare Diseases","score":0.06719999760389328,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.05889999866485596,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7111955285072327},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5695409774780273},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5395587682723999},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5161963105201721},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.503576934337616},{"id":"https://openalex.org/keywords/dna-sequencing","display_name":"DNA sequencing","score":0.49670296907424927},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49007880687713623},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30631202459335327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15901273488998413},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12071648240089417},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10472986102104187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111955285072327},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5695409774780273},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5395587682723999},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5161963105201721},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.503576934337616},{"id":"https://openalex.org/C51679486","wikidata":"https://www.wikidata.org/wiki/Q380546","display_name":"DNA sequencing","level":3,"score":0.49670296907424927},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49007880687713623},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30631202459335327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15901273488998413},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12071648240089417},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10472986102104187},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C552990157","wikidata":"https://www.wikidata.org/wiki/Q7430","display_name":"DNA","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016680","descriptor_name":"Genome, Bacterial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016680","descriptor_name":"Genome, Bacterial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016680","descriptor_name":"Genome, Bacterial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016680","descriptor_name":"Genome, Bacterial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016680","descriptor_name":"Genome, Bacterial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056186","descriptor_name":"Metagenomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056186","descriptor_name":"Metagenomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056186","descriptor_name":"Metagenomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056186","descriptor_name":"Metagenomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056186","descriptor_name":"Metagenomics","qualifier_ui":null,"qualifier_name":null,"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},{"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":3,"locations":[{"id":"doi:10.1186/1471-2105-14-s11-s7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s11-s7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-S11-S7","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:24564333","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24564333","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:europepmc.org:2805761","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3816315","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-14-s11-s7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s11-s7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-S11-S7","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":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1651575851","display_name":null,"funder_award_id":"5P20RR016469","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2735420015","display_name":null,"funder_award_id":"5P20RR016469","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G3276254283","display_name":null,"funder_award_id":"8P20GM103427","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G3858551904","display_name":null,"funder_award_id":"8P20GM103427","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G6741625917","display_name":null,"funder_award_id":"8P20GM103427","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8227563124","display_name":null,"funder_award_id":"5P20RR016469","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337375","display_name":"National Center for Research Resources","ror":"https://ror.org/04pw6fb54"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2064176149.pdf","grobid_xml":"https://content.openalex.org/works/W2064176149.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W17958277","https://openalex.org/W1519781644","https://openalex.org/W1965856472","https://openalex.org/W1970945057","https://openalex.org/W1972924519","https://openalex.org/W1983169073","https://openalex.org/W2051635612","https://openalex.org/W2055577791","https://openalex.org/W2070232376","https://openalex.org/W2073548709","https://openalex.org/W2074231493","https://openalex.org/W2083765251","https://openalex.org/W2108718991","https://openalex.org/W2111217142","https://openalex.org/W2114587116","https://openalex.org/W2116041602","https://openalex.org/W2132543522","https://openalex.org/W2143474538","https://openalex.org/W2143489026","https://openalex.org/W2149616469","https://openalex.org/W2157539385","https://openalex.org/W2162315106","https://openalex.org/W2289119746","https://openalex.org/W4232052881","https://openalex.org/W4285719527","https://openalex.org/W4297585095"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W4382701072","https://openalex.org/W1081706099","https://openalex.org/W2370730867"],"abstract_inverted_index":{"BACKGROUND:":[0],"Next":[1],"generation":[2,32,207,246],"sequencing":[3,33,53,208,233,247,285],"technologies":[4],"have":[5,77],"greatly":[6],"advanced":[7],"many":[8],"research":[9],"areas":[10],"of":[11,22,30,39,51,125,140,153,164,167,252,257,267],"the":[12,37,47,82,88,129,144,170,255,268],"biomedical":[13],"sciences":[14],"through":[15,254],"their":[16,147],"capability":[17],"to":[18,36,43,49,85,127,142,191,197,201,217,224,243],"generate":[19],"massive":[20],"amounts":[21],"genetic":[23],"information":[24,154,158],"at":[25,249],"unprecedented":[26],"rates.":[27],"The":[28],"advent":[29],"next":[31,206,245],"has":[34],"led":[35],"development":[38],"numerous":[40],"computational":[41],"tools":[42,61],"analyze":[44],"and":[45,71,80,91,116,146,178,184,193,204,220,277,283],"assemble":[46,92],"millions":[48],"billions":[50],"short":[52,73],"reads":[54,90,145,168,248],"produced":[55,89],"by":[56],"these":[57,60],"technologies.":[58,234,286],"While":[59],"filled":[62],"an":[63,99,174],"important":[64],"gap,":[65],"current":[66,113],"approaches":[67,118],"for":[68,104,181,231,264,274,280],"storing,":[69],"processing,":[70],"analyzing":[72],"read":[74,106,114,133,182,269],"datasets":[75,196,223],"generally":[76],"remained":[78],"simple":[79],"lack":[81],"complexity":[83],"needed":[84],"efficiently":[86,202],"model":[87,203,244,262],"them":[93],"correctly.":[94],"RESULTS:":[95],"Previously,":[96],"we":[97,136,187,213],"presented":[98],"overlap":[100,107,148,237,270],"graph":[101,122,176,238,258],"coarsening":[102],"scheme":[103],"modeling":[105,177],"relationships":[108,130,149],"on":[109],"multiple":[110],"levels.":[111],"Most":[112],"assembly":[115],"analysis":[117,183],"use":[119,137],"a":[120,132,138,151],"single":[121],"or":[123],"set":[124],"clusters":[126,166],"represent":[128,143],"among":[131],"dataset.":[134],"Instead,":[135],"series":[139],"graphs":[141],"across":[150],"spectrum":[152],"granularity.":[155],"At":[156],"each":[157],"level":[159],"our":[160,189,215,227,261],"algorithm":[161,190,216,228,240],"is":[162,229,241,272,278],"capable":[163],"generating":[165],"from":[169],"reduced":[171],"graph,":[172],"forming":[173],"integrated":[175],"clustering":[179],"approach":[180],"assembly.":[185],"Previously":[186],"applied":[188],"simulated":[192,219],"real":[194,221],"454":[195,284],"assess":[198],"its":[199],"ability":[200],"cluster":[205],"data.":[209],"In":[210],"this":[211],"paper":[212],"extend":[214],"large":[218,275],"Illumina":[222,282],"demonstrate":[225],"that":[226],"practical":[230,279],"both":[232,281],"CONCLUSIONS:":[235],"Our":[236],"theoretic":[239],"able":[242],"various":[250],"levels":[251],"granularity":[253],"process":[256],"coarsening.":[259],"Additionally,":[260],"allows":[263],"efficient":[265],"representation":[266],"relationships,":[271],"scalable":[273],"datasets,":[276]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
