Academic literature on the topic 'Mutation database'
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Journal articles on the topic "Mutation database"
Gottlieb, Bruce, Lenore K. Beitel, and Mark A. Trifiro. "Variable expressivity and mutation databases: The androgen receptor gene mutations database." Human Mutation 17, no. 5 (2001): 382–88. http://dx.doi.org/10.1002/humu.1113.
Full textLee, Joon-Hyop, Jiyoung Ahn, Won Seo Park, Eun Kyung Choe, Eunyoung Kim, Rumi Shin, Seung Chul Heo, et al. "Colorectal Cancer Prognosis is Not Associated with BRAF and KRAS Mutations-A STROBE Compliant Study." Journal of Clinical Medicine 8, no. 1 (January 17, 2019): 111. http://dx.doi.org/10.3390/jcm8010111.
Full textStenson, P. D., E. Ball, K. Howells, A. Phillips, M. Mort, and D. N. Cooper. "Human Gene Mutation Database: towards a comprehensive central mutation database." Journal of Medical Genetics 45, no. 2 (September 24, 2007): 124–26. http://dx.doi.org/10.1136/jmg.2007.055210.
Full textPing, Jie, Olufunmilola Oyebamiji, Hui Yu, Scott Ness, Jeremy Chien, Fei Ye, Huining Kang, et al. "MutEx: a multifaceted gateway for exploring integrative pan-cancer genomic data." Briefings in Bioinformatics 21, no. 4 (October 7, 2019): 1479–86. http://dx.doi.org/10.1093/bib/bbz084.
Full textNebel, Istvan T., Barbara Trültsch, and Ralf Paschke. "TSH Receptor Mutation Database." Journal of Clinical Endocrinology & Metabolism 84, no. 6 (June 1999): 2263. http://dx.doi.org/10.1210/jcem.84.6.5809-9.
Full textCooper, D. N., and Michael Krawczak. "Human Gene Mutation Database." Human Genetics 98, no. 5 (September 26, 1996): 629. http://dx.doi.org/10.1007/s004390050272.
Full textNiesler, Beate, Christine Fischer, and Gudrun A. Rappold. "The humanSHOX mutation database." Human Mutation 20, no. 5 (October 25, 2002): 338–41. http://dx.doi.org/10.1002/humu.10125.
Full textBeysen, Diane, Jo Vandesompele, Ludwine Messiaen, Anne De Paepe, and Elfride De Baere. "The humanFOXL2 mutation database." Human Mutation 24, no. 3 (2004): 189–93. http://dx.doi.org/10.1002/humu.20079.
Full textWertheim-Tysarowska, Katarzyna, Agnieszka Sobczyńska-Tomaszewska, Cezary Kowalewski, Michał Skroński, Grzegorz Święćkowski, Anna Kutkowska-Kaźmierczak, Katarzyna Woźniak, and Jerzy Bal. "The COL7A1 mutation database." Human Mutation 33, no. 2 (December 20, 2011): 327–31. http://dx.doi.org/10.1002/humu.21651.
Full textShemansky, Jennifer M., Lea Patrice McDaniel, Christopher Klimas, Stephen D. Dertinger, Vasily N. Dobrovolsky, Takafumi Kimoto, Katsuyoshi Horibata, James E. Polli, and Robert H. Heflich. "Pig‐agene mutation database." Environmental and Molecular Mutagenesis 60, no. 8 (June 7, 2019): 759–62. http://dx.doi.org/10.1002/em.22298.
Full textDissertations / Theses on the topic "Mutation database"
Wright, Christopher. "Mutation analysis of relational database schemas." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/12059/.
Full textWu, Yongjian. "An empirical study of the use of conceptual models for mutation testing of database application programs." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37599434.
Full textWu, Yongjian, and 吳勇堅. "An empirical study of the use of conceptual models for mutation testing of database application programs." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37599434.
Full textKamanu, Frederick Kinyua. "Computational Verification of Published Human Mutations." Thesis, University of the Western Cape, 2008. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_2906_1269551415.
Full textThe completion of the Human Genome Project, a remarkable feat by any measure, has provided over three billion bases of reference nucleotides for comparative studies. The next, and perhaps more challenging step is to analyse sequence variation and relate this information to important phenotypes. Most human sequence variations are characterized by structural complexity and, are hence, associated with abnormal functional dynamics. This thesis covers the assembly of a computational platform for verifying these variations, based on accurate, published, experimental data.
Sevinc, Ender. "Genetic Algorithms For Distributed Database Design And Distributed Database Query Optimization." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12611194/index.pdf.
Full textNowacki, Piotr Marek. "Design, development, and deployment of a locus specific mutation database : the PAHdb example." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0004/MQ44234.pdf.
Full textMcCormick, II Donald W. "Towards A Sufficient Set of Mutation Operators for Structured Query Language (SQL)." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/32526.
Full textMaster of Science
Kang, Ce. "Investigating the Genetic Basis of the Spastic-Ataxias using Next Generation Sequencing and a Mutation Database." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27330.
Full textVenkatesan, Lavanya. "Identifying and Tracking the Evolution of Mutations in the SARS-CoV-2 Virus." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103939.
Full textMaster of Science
A novel corona virus named Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) has taken down the entire world by causing Covid-19 pandemic. Initially detected in Wuhan, China, the virus has now made its way to more than 200 countries with a heavy death toll. Understanding the virus through mutation tracking and improving diagnostics and vaccine design have now become the top priority of researchers. Most of these researchers depend on quality viral sequence datasets to identify and track mutations. One aim of this study is to provide a comprehensive dataset linking the GISAID (Global Initiative on Sharing All Influenza Data), NCBI (National Center for Biological Information) and the SRA (Sequence Read Archive) sequences. The dataset can be used for genome analysis and mutation tracking which can provide important insights for vaccine design and in improving diagnostic assays. In addition, this study provides an analysis of viral mutations in in the genomic regions targeted by commonly used primers in the RT-PCR tests for SARS-CoV-2 that may affect the efficiency of detection. This study also uses the haplogroup information of people across the world to track the D614G mutation on the S gene of SARS-CoV-2 as it may be associated with increased transmissibility. To track the course of mutations in SARS-CoV-2, it is important to analyze the sequencing data provided by the Illumina and Oxford Nanopore next generation sequencing methods. We present a case study to investigate the course of SARS-CoV-2 mutations in a single septuagenarian patient over a period of 102days using the Sequence Read Archive (SRA) data generated by two Next Generation Sequencing methods and compare the advantages that one has over the other.
MOROSINI, SARA. "Integrated genetic diagnosis of neurofibromatosis type 1 (NF1) and molecular characterization of one case of compound heterozygosity." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/83314.
Full textBooks on the topic "Mutation database"
L, Mendelsohn Mortimer, and Albertini Richard J, eds. Mutation and the environment: Proceedings of the Fifth International Conference on Environmental Mutagens, held in Cleveland, Ohio, July 10-15, 1989. New York: Wiley-Liss, 1990.
Find full textWong, W. Eric. Mutation Testing for the New Century (Advances in Database Systems). Springer, 2001.
Find full textRichards, G., and O. Oud. Mutations: An Interactive Education Tool for Secondary Schools and Undergraduates University Teaching (World Biodiversity Database Electronic Series). UNESCO, 2003.
Find full textBook chapters on the topic "Mutation database"
Collod-Béroud, Gwenaëlle, and Catherine Boileau. "The Marfan Mutation Database." In Marfan Syndrome: A Primer for Clinicians and Scientists, 101–12. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9013-6_9.
Full textDo, Van-Nho, Quang-Vu Nguyen, and Thanh-Binh Nguyen. "Evaluating Mutation Operator and Test Case Effectiveness by Means of Mutation Testing." In Intelligent Information and Database Systems, 837–50. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73280-6_66.
Full textMasrom, S., Siti Z. Z. Abidin, N. Omar, and K. Nasir. "Time-Varying Mutation in Particle Swarm Optimization." In Intelligent Information and Database Systems, 31–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36546-1_4.
Full textNguyen, Quang Vu, and Lech Madeyski. "Higher Order Mutation Testing to Drive Development of New Test Cases: An Empirical Comparison of Three Strategies." In Intelligent Information and Database Systems, 235–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49381-6_23.
Full textNguyen, Quang Vu, and Lech Madeyski. "On the Relationship Between the Order of Mutation Testing and the Properties of Generated Higher Order Mutants." In Intelligent Information and Database Systems, 245–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49381-6_24.
Full textCruts, Marc, and Christine Van Broeckhoven. "Data Mining: Applying the AD&FTD Mutation Database to Progranulin." In Methods in Molecular Biology, 81–92. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8559-3_6.
Full textHu, Peng, Yongli Wang, Hening Wang, Ruxin Zhao, Chi Yuan, Yi Zheng, Qianchun Lu, Yanchao Li, and Isma Masood. "ALO-DM: A Smart Approach Based on Ant Lion Optimizer with Differential Mutation Operator in Big Data Analytics." In Database Systems for Advanced Applications, 64–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91455-8_6.
Full textSevanthi, Amitha Mithra V., Prashant Kale, Chandra Prakash, M. K. Ramkumar, Neera Yadav, V. Sureshkumar, Yugandhar Poli, et al. "National repository of EMS induced mutants of an upland rice cultivar Nagina 22: progress update on characterization and utilization." In Mutation breeding, genetic diversity and crop adaptation to climate change, 290–302. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249095.0030.
Full textZatkova, Andrea, Tatiana Sedlackova, Jan Radvansky, Helena Polakova, Martina Nemethova, Robert Aquaron, Ismail Dursun, Jeannette L. Usher, and Ludevit Kadasi. "Identification of 11 Novel Homogentisate 1,2 Dioxygenase Variants in Alkaptonuria Patients and Establishment of a Novel LOVD-Based HGD Mutation Database." In JIMD Reports, 55–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/8904_2011_68.
Full textAnagnostopoulos, Anna V. "TBASE : The Relationalized Database of Transgenic Animals and Targeted Mutations." In Transgenic Animals, 533–52. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003211099-99.
Full textConference papers on the topic "Mutation database"
Tuya, Javier, Ma Jose Suarez-Cabal, and Claudio de la Riva. "SQLMutation: A tool to generate mutants of SQL database queries." In Second Workshop on Mutation Analysis (Mutation 2006 - ISSRE Workshops 2006). IEEE, 2006. http://dx.doi.org/10.1109/mutation.2006.13.
Full textCabeca, Andrea Gonçalves, Mario Jino, and Plinio S. Leitao-Junior. "Mutation Analysis for SQL Database Applications." In 2009 Fourth International Conference on Software Engineering Advances (ICSEA). IEEE, 2009. http://dx.doi.org/10.1109/icsea.2009.30.
Full textZhou, Chixiang, and Phyllis Frankl. "Mutation Testing for Java Database Applications." In 2009 International Conference on Software Testing Verification and Validation (ICST). IEEE, 2009. http://dx.doi.org/10.1109/icst.2009.43.
Full textMcMinn, Phil, Gregory M. Kapfhammer, and Chris J. Wright. "Virtual mutation analysis of relational database schemas." In the 11th International Workshop. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2896921.2896933.
Full textToledo, Ludmila I., Celso G. Camilo, and Cassio Leonardo Rodrigues. "MutShrink: a Mutation-based Test Database Shrinking Method." In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2020. http://dx.doi.org/10.1109/smc42975.2020.9283198.
Full textPant, Millie, Radha Thangaraj, and Ajith Abraham. "Particle Swarm Optimization Using Adaptive Mutation." In 2008 19th International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2008. http://dx.doi.org/10.1109/dexa.2008.70.
Full textPan, Kai, Xintao Wu, and Tao Xie. "Automatic test generation for mutation testing on database applications." In 2013 8th International Workshop on Automation of Software Test (AST). IEEE, 2013. http://dx.doi.org/10.1109/iwast.2013.6595801.
Full textShahriar, Hossain, and Sheetal Batchu. "Towards mutation-based testing of column-oriented database queries." In the 2014 ACM Southeast Regional Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2638404.2638470.
Full textMcCormick, Donald W., William B. Frakes, and Reghu Anguswamy. "A comparison of database fault detection capabilities using mutation testing." In the ACM-IEEE international symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2372251.2372310.
Full textMoncao, Ana Claudia B. Loureiro, Celso G. Camilo, Leonardo T. Queiroz, Cassio L. Rodrigues, Plinio de Sa Leitao, and Auri M. R. Vincenzi. "Shrinking a database to perform SQL mutation tests using an evolutionary algorithm." In 2013 IEEE Congress on Evolutionary Computation. IEEE, 2013. http://dx.doi.org/10.1109/cec.2013.6557874.
Full textReports on the topic "Mutation database"
Juvik, John A., Avri Bar Zur, and Torbert R. Rocheford. Breeding for Quality in Vegetable Maize Using Linked Molecular Markers. United States Department of Agriculture, January 1993. http://dx.doi.org/10.32747/1993.7568764.bard.
Full textZhao, Lili, Tao Li, Meijuan Dang, Ye Li, Hong Fan, Qian Hao, Dingli Song, et al. Association of methylenetetrahydrofolate reductase (MTHFR) C677T gene polymorphism with ischemic stroke risk in different populations: an updated meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0037.
Full textGelb, Jr., Jack, Yoram Weisman, Brian Ladman, and Rosie Meir. Identification of Avian Infectious Brochitis Virus Variant Serotypes and Subtypes by PCR Product Cycle Sequencing for the Rational Selection of Effective Vaccines. United States Department of Agriculture, December 2003. http://dx.doi.org/10.32747/2003.7586470.bard.
Full textRodriguez Muxica, Natalia. Open configuration options Bioinformatics for Researchers in Life Sciences: Tools and Learning Resources. Inter-American Development Bank, February 2022. http://dx.doi.org/10.18235/0003982.
Full textFriedman, Haya, Julia Vrebalov, James Giovannoni, and Edna Pesis. Unravelling the Mode of Action of Ripening-Specific MADS-box Genes for Development of Tools to Improve Banana Fruit Shelf-life and Quality. United States Department of Agriculture, January 2010. http://dx.doi.org/10.32747/2010.7592116.bard.
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