{"id":"https://openalex.org/W7171500790","doi":"https://doi.org/10.1145/3807503.3819450","title":"Lightweight Discriminative Indel Refinement via Artifact-Aware Alignment Modeling","display_name":"Lightweight Discriminative Indel Refinement via Artifact-Aware Alignment Modeling","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7171500790","doi":"https://doi.org/10.1145/3807503.3819450"},"language":null,"primary_location":{"id":"doi:10.1145/3807503.3819450","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3819450","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3807503.3819450","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5143818925","display_name":"Chinmay Bhardwaj","orcid":"https://orcid.org/0009-0003-7870-4737"},"institutions":[{"id":"https://openalex.org/I98210582","display_name":"Rajiv Gandhi Institute of Petroleum Technology","ror":"https://ror.org/00n7swc17","country_code":"IN","type":"education","lineage":["https://openalex.org/I98210582"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chinmay Bhardwaj","raw_affiliation_strings":["Rajiv Gandhi Institute of Petroleum Technology, Amethi, Uttar Pradesh, India"],"raw_orcid":"https://orcid.org/0009-0003-7870-4737","affiliations":[{"raw_affiliation_string":"Rajiv Gandhi Institute of Petroleum Technology, Amethi, Uttar Pradesh, India","institution_ids":["https://openalex.org/I98210582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138219891","display_name":"Ishaan Saxena","orcid":null},"institutions":[{"id":"https://openalex.org/I98210582","display_name":"Rajiv Gandhi Institute of Petroleum Technology","ror":"https://ror.org/00n7swc17","country_code":"IN","type":"education","lineage":["https://openalex.org/I98210582"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ishaan Saxena","raw_affiliation_strings":["Rajiv Gandhi Institute of Petroleum Technology, Amethi, Uttar Pradesh, India"],"raw_orcid":"https://orcid.org/0009-0009-5855-8908","affiliations":[{"raw_affiliation_string":"Rajiv Gandhi Institute of Petroleum Technology, Amethi, Uttar Pradesh, India","institution_ids":["https://openalex.org/I98210582"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067149822","display_name":"Manoj K. Rajpoot","orcid":"https://orcid.org/0000-0002-4880-6463"},"institutions":[{"id":"https://openalex.org/I98210582","display_name":"Rajiv Gandhi Institute of Petroleum Technology","ror":"https://ror.org/00n7swc17","country_code":"IN","type":"education","lineage":["https://openalex.org/I98210582"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manoj K Rajpoot","raw_affiliation_strings":["Rajiv Gandhi Institute of Petroleum Technology, Amethi, Uttar Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0002-4880-6463","affiliations":[{"raw_affiliation_string":"Rajiv Gandhi Institute of Petroleum Technology, Amethi, Uttar Pradesh, India","institution_ids":["https://openalex.org/I98210582"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98210582"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.725600004196167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5174000263214111},{"id":"https://openalex.org/keywords/indel","display_name":"Indel","score":0.3578999936580658},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.31200000643730164},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.25920000672340393}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.725600004196167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152999997138977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5856999754905701},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5174000263214111},{"id":"https://openalex.org/C119054055","wikidata":"https://www.wikidata.org/wiki/Q1576681","display_name":"Indel","level":5,"score":0.3578999936580658},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25929999351501465},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2498999983072281}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3807503.3819450","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3819450","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3807503.3819450","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3819450","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2061043894","https://openalex.org/W2108234281","https://openalex.org/W2112113834","https://openalex.org/W2150131459","https://openalex.org/W2289130930","https://openalex.org/W2548695521","https://openalex.org/W2770095154","https://openalex.org/W2867868648","https://openalex.org/W2889664156","https://openalex.org/W2929354011","https://openalex.org/W2951331911","https://openalex.org/W3101579057","https://openalex.org/W4226151130","https://openalex.org/W4281384081","https://openalex.org/W7118186657"],"related_works":[],"abstract_inverted_index":{"Short-read":[0],"indel":[1,96],"detection":[2],"remains":[3],"challenging":[4],"and":[5,16,28,32,75,105],"prone":[6],"to":[7],"errors":[8],"when":[9],"compared":[10],"with":[11],"SNPs,":[12],"especially":[13],"in":[14,46,56,67,81,101],"low-coverage":[15],"genomic":[17],"regions":[18],"where":[19,108],"alignment":[20],"artifacts":[21],"are":[22,79],"prevalent,":[23],"such":[24,51],"as":[25,52],"homopolymer":[26],"runs":[27],"tandem":[29],"repeats.":[30],"Assembly-based":[31],"CNN\u2013based":[33],"variant":[34],"callers":[35],"achieve":[36,69],"high":[37,70],"accuracy":[38,71],"but":[39,72],"incur":[40],"substantial":[41],"computational":[42,74],"cost,":[43],"limiting":[44,98],"scalability":[45],"resource-constrained":[47,83],"settings.":[48,84],"Existing":[49],"remedies,":[50],"local":[53],"haplotype":[54],"assembly":[55],"Genome":[57],"Analysis":[58],"Toolkit":[59],"(GATK)":[60],"HaplotypeCaller,":[61],"convolutional":[62],"inference":[63],"over":[64,95],"image-encoded":[65],"reads":[66],"DeepVariant,":[68],"impose":[73],"time":[76],"constraints":[77],"that":[78],"prohibitive":[80],"more":[82],"Critically,":[85],"standard":[86],"lightweight":[87],"filtering":[88],"approaches":[89],"often":[90],"lack":[91],"well-calibrated":[92],"posterior":[93],"probabilities":[94],"validity,":[97],"their":[99],"utility":[100],"downstream":[102],"Bayesian":[103],"pipelines":[104],"clinical":[106],"workflows":[107],"uncertainty":[109],"quantification":[110],"matters.":[111]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2026-07-29T00:00:00"}
