{"id":"https://openalex.org/W4391609105","doi":"https://doi.org/10.1186/s12859-024-05681-1","title":"MAC-ErrorReads: machine learning-assisted classifier for filtering erroneous NGS reads","display_name":"MAC-ErrorReads: machine learning-assisted classifier for filtering erroneous NGS reads","publication_year":2024,"publication_date":"2024-02-07","ids":{"openalex":"https://openalex.org/W4391609105","doi":"https://doi.org/10.1186/s12859-024-05681-1","pmid":"https://pubmed.ncbi.nlm.nih.gov/38321434"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-024-05681-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05681-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05681-1","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/s12859-024-05681-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114125249","display_name":"Amira Sami","orcid":null},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Amira Sami","raw_affiliation_strings":["Department of Computer Science, Faculty of Computers and Information, Mansoura University, P.O. Box: 35516, Mansoura, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Information, Mansoura University, P.O. Box: 35516, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019635576","display_name":"Sara El\u2010Metwally","orcid":"https://orcid.org/0000-0003-4496-7080"},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Sara El-Metwally","raw_affiliation_strings":["Biomedical Informatics Department, Faculty of Computer Science and Engineering, New Mansoura University, Gamasa, 35712, Egypt. sarah_almetwally4@mans.edu.eg","Department of Computer Science, Faculty of Computers and Information, Mansoura University, P.O. Box: 35516, Mansoura, Egypt. sarah_almetwally4@mans.edu.eg","Department of Computer Science, Faculty of Computers and Information, Mansoura University, P.O. Box: 35516, Mansoura, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Informatics Department, Faculty of Computer Science and Engineering, New Mansoura University, Gamasa, 35712, Egypt. sarah_almetwally4@mans.edu.eg","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Information, Mansoura University, P.O. Box: 35516, Mansoura, Egypt. sarah_almetwally4@mans.edu.eg","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Information, Mansoura University, P.O. Box: 35516, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074259435","display_name":"M. Z. Rashad","orcid":null},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"M. Z. Rashad","raw_affiliation_strings":["Department of Computer Science, Faculty of Computers and Information, Mansoura University, P.O. Box: 35516, Mansoura, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Information, Mansoura University, P.O. Box: 35516, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114125249"],"corresponding_institution_ids":["https://openalex.org/I159247623"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.6554,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6632971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"25","issue":"1","first_page":"61","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.3197000026702881,"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":0.3197000026702881,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.1386999934911728,"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":0.06700000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6955208778381348},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5879761576652527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.562150239944458},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.555331826210022},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4869585931301117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46620070934295654},{"id":"https://openalex.org/keywords/os-x","display_name":"OS X","score":0.43317604064941406},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4184894263744354},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4155622720718384},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33882641792297363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3277691602706909},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13428667187690735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6955208778381348},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5879761576652527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.562150239944458},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.555331826210022},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4869585931301117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46620070934295654},{"id":"https://openalex.org/C515153823","wikidata":"https://www.wikidata.org/wiki/Q14116","display_name":"OS X","level":3,"score":0.43317604064941406},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4184894263744354},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4155622720718384},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33882641792297363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3277691602706909},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13428667187690735},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004926","descriptor_name":"Escherichia coli","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004926","descriptor_name":"Escherichia coli","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004926","descriptor_name":"Escherichia coli","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004926","descriptor_name":"Escherichia coli","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013211","descriptor_name":"Staphylococcus aureus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013211","descriptor_name":"Staphylococcus aureus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013211","descriptor_name":"Staphylococcus aureus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013211","descriptor_name":"Staphylococcus aureus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-024-05681-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05681-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05681-1","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:38321434","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38321434","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:10848413","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10848413","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10848413/pdf/12859_2024_Article_5681.pdf","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:doaj.org/article:18482c2efefe4070936b7505ec70b794","is_oa":true,"landing_page_url":"https://doaj.org/article/18482c2efefe4070936b7505ec70b794","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 25, Iss 1, Pp 1-30 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-024-05681-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05681-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05681-1","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":0.5,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"},{"id":"https://openalex.org/F4320325716","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391609105.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1879624628","https://openalex.org/W1903088142","https://openalex.org/W1966711026","https://openalex.org/W1980667059","https://openalex.org/W1989871058","https://openalex.org/W2001079689","https://openalex.org/W2014099509","https://openalex.org/W2101250487","https://openalex.org/W2103441770","https://openalex.org/W2107772251","https://openalex.org/W2108234281","https://openalex.org/W2113154626","https://openalex.org/W2114931329","https://openalex.org/W2127768708","https://openalex.org/W2129276621","https://openalex.org/W2157624015","https://openalex.org/W2160665949","https://openalex.org/W2160969485","https://openalex.org/W2167469524","https://openalex.org/W2168602018","https://openalex.org/W2170551349","https://openalex.org/W2266786540","https://openalex.org/W2295598076","https://openalex.org/W2333007030","https://openalex.org/W2498119267","https://openalex.org/W2750586496","https://openalex.org/W2810819381","https://openalex.org/W2889276753","https://openalex.org/W2903950532","https://openalex.org/W2911964244","https://openalex.org/W2922985761","https://openalex.org/W2948188025","https://openalex.org/W2953339515","https://openalex.org/W2986786507","https://openalex.org/W3012414418","https://openalex.org/W3080775042","https://openalex.org/W3091976937","https://openalex.org/W3101947929","https://openalex.org/W3202547677","https://openalex.org/W4206667478","https://openalex.org/W4239510810","https://openalex.org/W4282566492","https://openalex.org/W4297988261","https://openalex.org/W4317521200","https://openalex.org/W4366352255","https://openalex.org/W4385077113"],"related_works":["https://openalex.org/W642521392","https://openalex.org/W599814909","https://openalex.org/W2466726934","https://openalex.org/W145675224","https://openalex.org/W2481575356","https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2501422613","https://openalex.org/W2123792289","https://openalex.org/W2397288865"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,155,292],"rapid":[2],"advancement":[3],"of":[4,11,20,24,30,111,212,229,236,247,258,294],"next-generation":[5],"sequencing":[6],"(NGS)":[7],"machines":[8],"in":[9,319],"terms":[10],"speed":[12],"and":[13,48,51,133,152,183,190,206,216,241,250,279,289,296,315,322],"affordability":[14],"has":[15],"led":[16],"to":[17,42,46,61,261],"the":[18,28,40,58,62,83,109,199,220,233,262,281],"generation":[19],"a":[21,70,90,170,225],"massive":[22],"amount":[23],"biological":[25],"data":[26,31,52,308,312],"at":[27],"expense":[29],"quality":[32,53,288],"as":[33,122],"errors":[34],"become":[35],"more":[36],"prevalent.":[37],"This":[38,266],"introduces":[39],"need":[41],"utilize":[43],"different":[44],"approaches":[45,272],"detect":[47],"filtrate":[49],"errors,":[50],"assurance":[54],"is":[55],"moved":[56],"from":[57,118],"hardware":[59],"space":[60],"software":[63],"preprocessing":[64],"stages.":[65],"RESULTS:":[66],"We":[67],"introduce":[68],"MAC-ErrorReads,":[69,239],"novel":[71],"Machine":[72],"learning-Assisted":[73],"Classifier":[74],"designed":[75],"for":[76,273,305],"filtering":[77,274],"Erroneous":[78],"NGS":[79,85,275,307],"Reads.":[80],"MAC-ErrorReads":[81,156,184,207],"transforms":[82],"erroneous":[84],"read":[86],"filtration":[87],"process":[88],"into":[89],"robust":[91,140],"binary":[92],"classification":[93],"task,":[94],"employing":[95],"five":[96],"supervised":[97],"machine":[98,270,300],"learning":[99,271,301],"algorithms.":[100],"These":[101],"models":[102],"are":[103],"trained":[104],"on":[105],"features":[106],"extracted":[107],"through":[108,299],"computation":[110],"Term":[112],"Frequency-Inverse":[113],"Document":[114],"Frequency":[115],"(TF_IDF)":[116],"values":[117],"various":[119,143],"datasets":[120],"such":[121],"E.":[123],"coli,":[124],"GAGE":[125],"S.":[126,161],"aureus,":[127],"H.":[128,175],"Chr14,":[129,176],"Arabidopsis":[130,200],"thaliana":[131,201],"Chr1":[132],"Metriaclima":[134,221],"zebra.":[135],"Notably,":[136],"Naive":[137],"Bayes":[138],"demonstrated":[139,208,243],"performance":[141],"across":[142],"datasets,":[144],"displaying":[145],"high":[146,226],"accuracy,":[147,314],"precision,":[148],"recall,":[149],"F1-score,":[150],"MCC,":[151],"ROC":[153],"values.":[154],"NB":[157],"model":[158],"accurately":[159],"classified":[160],"aureus":[162],"reads,":[163,284],"surpassing":[164],"most":[165,282],"error":[166],"correction":[167],"tools":[168,177],"with":[169],"38.69%":[171],"alignment":[172,210,227,245],"rate.":[173],"For":[174,198,219],"like":[178],"Lighter,":[179],"Karect,":[180,204,240],"CARE,":[181],"Pollux,":[182,203],"showed":[185],"rates":[186,211,246],"above":[187],"99%.":[188],"BFC":[189],"RECKONER":[191,242],"exceeded":[192],"98%,":[193],"while":[194,253],"Fiona":[195],"had":[196],"95.78%.":[197],"Chr1,":[202],"RECKONER,":[205],"good":[209,244],"92.62%,":[213],"91.80%,":[214],"91.78%,":[215],"90.87%,":[217],"respectively.":[218],"zebra,":[222],"Pollux":[223],"achieved":[224],"rate":[228],"91.23%,":[230],"despite":[231],"having":[232],"lowest":[234],"number":[235],"mapped":[237,259],"reads.":[238],"83.76%,":[248],"83.71%,":[249],"83.67%,":[251],"respectively,":[252],"also":[254],"producing":[255],"reasonable":[256],"numbers":[257],"reads":[260,276],"reference":[263],"genome.":[264],"CONCLUSIONS:":[265],"study":[267],"demonstrates":[268],"that":[269],"effectively":[277],"identify":[278],"retain":[280],"accurate":[283],"significantly":[285],"enhancing":[286,306],"assembly":[287],"genomic":[290],"coverage.":[291],"integration":[293],"genomics":[295],"artificial":[297],"intelligence":[298],"algorithms":[302],"holds":[303],"promise":[304],"quality,":[309],"advancing":[310],"downstream":[311],"analysis":[313],"opening":[316],"new":[317],"opportunities":[318],"genetics,":[320],"genomics,":[321],"personalized":[323],"medicine":[324],"research.":[325]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}