{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:34:57Z","timestamp":1750221297901,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,8,15]],"date-time":"2018-08-15T00:00:00Z","timestamp":1534291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,8,15]]},"DOI":"10.1145\/3233547.3233571","type":"proceedings-article","created":{"date-parts":[[2018,8,24]],"date-time":"2018-08-24T12:05:17Z","timestamp":1535112317000},"page":"270-276","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Detecting Chromosomal Inversions from Dense SNPs by Combining PCA and Association Tests"],"prefix":"10.1145","author":[{"given":"Ronald J.","family":"Nowling","sequence":"first","affiliation":[{"name":"Marquette University, Milwaukee, WI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Scott J.","family":"Emrich","sequence":"additional","affiliation":[{"name":"University of Tennessee, Knoxville, TN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,8,15]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkv073"},{"key":"e_1_3_2_1_2_1","volume-title":"Identification of polymorphic inversions from genotypes. BMC Bioinformatics 13 (Feb","author":"C\u00e1ceres Alejandro","year":"2012","unstructured":"Alejandro C\u00e1ceres , Suzanne S Sindi , Benjamin J Raphael , Mario C\u00e1ceres , and Juan R Gonz\u00e1lez . 2012. Identification of polymorphic inversions from genotypes. BMC Bioinformatics 13 (Feb . 2012 ), 28. Alejandro C\u00e1ceres, Suzanne S Sindi, Benjamin J Raphael, Mario C\u00e1ceres, and Juan R Gonz\u00e1lez. 2012. Identification of polymorphic inversions from genotypes. BMC Bioinformatics 13 (Feb. 2012), 28."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/757584614"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.1363"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1534\/genetics.112.141622"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2583.2005.00544.x"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"M. C. Fontaine J. B. Pease A. Steele R. M. Waterhouse D. E. Neafsey I. V. Sharakhov X. Jiang A. B. Hall F. Catteruccia E. Kakani etal 2015. Extensive introgression in a malaria vector species complex revealed by phylogenomics. Science 347 6217 (2015). arXiv:http:\/\/www.sciencemag.org\/content\/347\/6217\/1258524.full.pdf  M. C. Fontaine J. B. Pease A. Steele R. M. Waterhouse D. E. Neafsey I. V. Sharakhov X. Jiang A. B. Hall F. Catteruccia E. Kakani et al. 2015. Extensive introgression in a malaria vector species complex revealed by phylogenomics. Science 347 6217 (2015). arXiv:http:\/\/www.sciencemag.org\/content\/347\/6217\/1258524.full.pdf","DOI":"10.1126\/science.1258524"},{"key":"e_1_3_2_1_8_1","volume-title":"The role of chromosomal inversions in speciation. (Nov","author":"Fuller Zachary","year":"2017","unstructured":"Zachary Fuller , Christopher Leonard , Randee Young , Stephen Schaeffer , and Nitin Phadnis . 2017. The role of chromosomal inversions in speciation. (Nov . 2017 ), 211771 pages. Zachary Fuller, Christopher Leonard, Randee Young, Stephen Schaeffer, and Nitin Phadnis. 2017. The role of chromosomal inversions in speciation. (Nov. 2017), 211771 pages."},{"key":"e_1_3_2_1_9_1","volume-title":"Carlo Costantini, and Nora J Besansky.","author":"Gray Emilie M","year":"2009","unstructured":"Emilie M Gray , Kyle A C Rocca , Carlo Costantini, and Nora J Besansky. 2009 . Inversion 2La is associated with enhanced desiccation resistance in Anopheles gambiae. Malar. J. 8 (Sept. 2009), 215. Emilie M Gray, Kyle A C Rocca, Carlo Costantini, and Nora J Besansky. 2009. Inversion 2La is associated with enhanced desiccation resistance in Anopheles gambiae. Malar. J. 8 (Sept. 2009), 215."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1101\/gr.088633.108"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"D. W. Hosmer  Jr. S. Lemeshow and R. X. Sturdivant. 2013. Applied Logistic Regression (3 ed.). Wiley.  D. W. Hosmer Jr. S. Lemeshow and R. X. Sturdivant. 2013. Applied Logistic Regression (3 ed.). Wiley.","DOI":"10.1002\/9781118548387"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2007.55"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1195755"},{"key":"e_1_3_2_1_14_1","volume-title":"PCA-based population structure inference with generic clustering algorithms. BMC Bioinformatics 10 Suppl 1 (Jan","author":"Lee Chih","year":"2009","unstructured":"Chih Lee , Ali Abdool , and Chun-Hsi Huang . 2009. PCA-based population structure inference with generic clustering algorithms. BMC Bioinformatics 10 Suppl 1 (Jan . 2009 ), S73. Chih Lee, Ali Abdool, and Chun-Hsi Huang. 2009. PCA-based population structure inference with generic clustering algorithms. BMC Bioinformatics 10 Suppl 1 (Jan. 2009), S73."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/mec.13888"},{"key":"e_1_3_2_1_16_1","first-page":"7","article-title":"Investigation of inversion polymorphisms in the human genome using principal components analysis","volume":"7","author":"Ma Jianzhong","year":"2012","unstructured":"Jianzhong Ma and Christopher I Amos . 2012 . Investigation of inversion polymorphisms in the human genome using principal components analysis . PLoS One 7 , 7 (July 2012), e40224. Jianzhong Ma and Christopher I Amos. 2012. Investigation of inversion polymorphisms in the human genome using principal components analysis. PLoS One 7, 7 (July 2012), e40224.","journal-title":"PLoS One"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00439-014-1437-1"},{"key":"e_1_3_2_1_18_1","first-page":"20","article-title":"Complex genome evolution in Anopheles coluzzii associated with increased insecticide usage","volume":"24","author":"Main Bradley J","year":"2015","unstructured":"Bradley J Main , Yoosook Lee , Travis C Collier , Laura C Norris , Katherine Brisco , Abdrahamane Fofana , Anthony J Cornel , and Gregory C Lanzaro . 2015 . Complex genome evolution in Anopheles coluzzii associated with increased insecticide usage in Mali. Mol. Ecol. 24 , 20 (Oct. 2015), 5145--5157. Bradley J Main, Yoosook Lee, Travis C Collier, Laura C Norris, Katherine Brisco, Abdrahamane Fofana, Anthony J Cornel, and Gregory C Lanzaro. 2015. Complex genome evolution in Anopheles coluzzii associated with increased insecticide usage in Mali. Mol. Ecol. 24, 20 (Oct. 2015), 5145--5157.","journal-title":"Mali. Mol. Ecol."},{"key":"e_1_3_2_1_19_1","unstructured":"A. Miles N. J Harding G. Botta C. Clarkson T. Antao K. Kozak D. Schrider A. Kern S. Redmond I. Sharakhov etal 2016. Natural diversity of the malaria vector Anopheles gambiae. (2016).  A. Miles N. J Harding G. Botta C. Clarkson T. Antao K. Kozak D. Schrider A. Kern S. Redmond I. Sharakhov et al. 2016. Natural diversity of the malaria vector Anopheles gambiae. (2016)."},{"key":"e_1_3_2_1_20_1","unstructured":"D. E. Neafsey M. K. N. Lawniczak and D. J. Park. 2010. SNP genotyping defines complex gene-flow boundaries among African malaria vector mosquitoes. Science 2984 (2010).  D. E. Neafsey M. K. N. Lawniczak and D. J. Park. 2010. SNP genotyping defines complex gene-flow boundaries among African malaria vector mosquitoes. Science 2984 (2010)."},{"key":"e_1_3_2_1_21_1","volume-title":"Adjusted Likelihood-Ratio Test for Variants with Unknown Genotypes. In 10th International Conference on Bioinformatics and Computational Biology (BiCOB).","author":"Nowling Ronald J","year":"2018","unstructured":"Ronald J Nowling and Scott J Emrich . 2018 . Adjusted Likelihood-Ratio Test for Variants with Unknown Genotypes. In 10th International Conference on Bioinformatics and Computational Biology (BiCOB). Ronald J Nowling and Scott J Emrich. 2018. Adjusted Likelihood-Ratio Test for Variants with Unknown Genotypes. In 10th International Conference on Bioinformatics and Computational Biology (BiCOB)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgen.0030160"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1038\/ng1847"},{"key":"e_1_3_2_1_25_1","volume-title":"The Anopheles gambiae 2La chromosome inversion is associated with susceptibility to Plasmodium falciparumin in Africa. Elife 6 (June","author":"Riehle Michelle M","year":"2017","unstructured":"Michelle M Riehle , Tullu Bukhari , Awa Gneme , Wamdaogo M Guelbeogo , Boubacar Coulibaly , Abdrahamane Fofana , Adrien Pain , Emmanuel Bischoff , Francois Renaud , Abdoul H Beavogui , Sekou F Traore , N'fale Sagnon , and Kenneth D Vernick . 2017. The Anopheles gambiae 2La chromosome inversion is associated with susceptibility to Plasmodium falciparumin in Africa. Elife 6 (June 2017 ). Michelle M Riehle, Tullu Bukhari, Awa Gneme, Wamdaogo M Guelbeogo, Boubacar Coulibaly, Abdrahamane Fofana, Adrien Pain, Emmanuel Bischoff, Francois Renaud, Abdoul H Beavogui, Sekou F Traore, N'fale Sagnon, and Kenneth D Vernick. 2017. The Anopheles gambiae 2La chromosome inversion is associated with susceptibility to Plasmodium falciparumin in Africa. Elife 6 (June 2017)."},{"key":"e_1_3_2_1_26_1","volume-title":"Carlo Costantini, and Nora J Besansky","author":"Rocca Kyle A C","year":"2009","unstructured":"Kyle A C Rocca , Emilie M Gray , Carlo Costantini, and Nora J Besansky . 2009 . 2La chromosomal inversion enhances thermal tolerance of Anopheles gambiae larvae. Malar. J. 8 (July 2009), 147. Kyle A C Rocca, Emilie M Gray, Carlo Costantini, and Nora J Besansky. 2009. 2La chromosomal inversion enhances thermal tolerance of Anopheles gambiae larvae. Malar. J. 8 (July 2009), 147."},{"key":"e_1_3_2_1_27_1","volume-title":"Mining gene expression data by interpreting principal components. BMC Bioinformatics 7 (April","author":"Roden Joseph C","year":"2006","unstructured":"Joseph C Roden , Brandon W King , Diane Trout , Ali Mortazavi , Barbara J Wold , and Christopher E Hart . 2006. Mining gene expression data by interpreting principal components. BMC Bioinformatics 7 (April 2006 ), 194. Joseph C Roden, Brandon W King, Diane Trout, Ali Mortazavi, Barbara J Wold, and Christopher E Hart. 2006. Mining gene expression data by interpreting principal components. BMC Bioinformatics 7 (April 2006), 194."},{"key":"e_1_3_2_1_28_1","volume-title":"Clive Hoggart, and Lachlan Coin.","author":"Shao Haojing","year":"2017","unstructured":"Haojing Shao , Devika Ganesamoorthy , Tania Duarte , Minh Duc Cao , Clive Hoggart, and Lachlan Coin. 2017 . npInv: accurate detection and genotyping of inversions mediated by non-allelic homologous recombination using long read sub-alignment. (Aug. 2017), 178103 pages. Haojing Shao, Devika Ganesamoorthy, Tania Duarte, Minh Duc Cao, Clive Hoggart, and Lachlan Coin. 2017. npInv: accurate detection and genotyping of inversions mediated by non-allelic homologous recombination using long read sub-alignment. (Aug. 2017), 178103 pages."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1089\/cmb.2009.0185"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1038\/jhg.2014.88"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2011.37"},{"key":"e_1_3_2_1_33_1","first-page":"1","article-title":"Candidate-gene based GWAS identifies reproducible DNA markers for metabolic pyrethroid resistance from standing genetic variation in East African Anopheles gambiae. Sci","volume":"8","author":"Weetman David","year":"2018","unstructured":"David Weetman , Craig S Wilding , Daniel E Neafsey , Pie M\u00fcller , Eric Ochomo , Alison T Isaacs , Keith Steen , Emily J Rippon , John C Morgan , Henry D Mawejje , Daniel J Rigden , Loyce M Okedi , and Martin J Donnelly . 2018 . Candidate-gene based GWAS identifies reproducible DNA markers for metabolic pyrethroid resistance from standing genetic variation in East African Anopheles gambiae. Sci . Rep. 8 , 1 (Feb. 2018), 2920. David Weetman, Craig S Wilding, Daniel E Neafsey, Pie M\u00fcller, Eric Ochomo, Alison T Isaacs, Keith Steen, Emily J Rippon, John C Morgan, Henry D Mawejje, Daniel J Rigden, Loyce M Okedi, and Martin J Donnelly. 2018. Candidate-gene based GWAS identifies reproducible DNA markers for metabolic pyrethroid resistance from standing genetic variation in East African Anopheles gambiae. Sci. Rep. 8, 1 (Feb. 2018), 2920.","journal-title":"Rep."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"S Zhu S J Emrich and D Z Chen. 2017. Inversion detection using PacBio long reads. 237--242.  S Zhu S J Emrich and D Z Chen. 2017. Inversion detection using PacBio long reads. 237--242.","DOI":"10.1109\/BIBM.2017.8217655"},{"key":"e_1_3_2_1_35_1","first-page":"2","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou Hui","year":"2005","unstructured":"Hui Zou and Trevor Hastie . 2005 . Regularization and variable selection via the elastic net . J. R. Stat. Soc. Series B Stat. Methodol. 67 , 2 (April 2005), 301--320. Hui Zou and Trevor Hastie. 2005. Regularization and variable selection via the elastic net. J. R. Stat. Soc. Series B Stat. Methodol. 67, 2 (April 2005), 301--320.","journal-title":"J. R. Stat. Soc. Series B Stat. Methodol."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1198\/106186006X113430"}],"event":{"name":"BCB '18: 9th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"],"location":"Washington DC USA","acronym":"BCB '18"},"container-title":["Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3233547.3233571","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3233547.3233571","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:13Z","timestamp":1750212793000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3233547.3233571"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,15]]},"references-count":36,"alternative-id":["10.1145\/3233547.3233571","10.1145\/3233547"],"URL":"https:\/\/doi.org\/10.1145\/3233547.3233571","relation":{},"subject":[],"published":{"date-parts":[[2018,8,15]]},"assertion":[{"value":"2018-08-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}