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HandWiki. Computational and Statistical Genetics. Encyclopedia. Available online: https://encyclopedia.pub/entry/33203 (accessed on 26 September 2026).
HandWiki. Computational and Statistical Genetics. Encyclopedia. Available at: https://encyclopedia.pub/entry/33203. Accessed September 26, 2026.
HandWiki. "Computational and Statistical Genetics" Encyclopedia, https://encyclopedia.pub/entry/33203 (accessed September 26, 2026).
HandWiki. (2022, November 07). Computational and Statistical Genetics. In Encyclopedia. https://encyclopedia.pub/entry/33203
HandWiki. "Computational and Statistical Genetics." Encyclopedia. Web. 07 November, 2022.
Computational and Statistical Genetics
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The content is sourced from: https://handwiki.org/wiki/Biology:Computational_and_Statistical_Genetics

The interdisciplinary research field of Computational and Statistical Genetics uses the latest approaches in genomics, quantitative genetics, computational sciences, bioinformatics and statistics to develop and apply computationally efficient and statistically robust methods to sort through increasingly rich and massive genome wide data sets to identify complex genetic patterns, gene functionalities and interactions, disease and phenotype associations involving the genomes of various organisms. This field is also often referred to as computational genomics. This is an important discipline within the umbrella field computational biology.

computationally bioinformatics genomics

References

  1. Hao, Ke; Chudin, Eugene; McElwee, Joshua; Schadt, Eric E (2009). "Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies". BMC Genetics 10: 27. doi:10.1186/1471-2156-10-27. PMID 19531258.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2709633
  2. Nothnagel, M; Ellinghaus, D; Schreiber, S; Krawczak, M; Franke, A (2009). "A comprehensive evaluation of SNP genotype imputation". Human Genetics 125 (2): 163–71. doi:10.1007/s00439-008-0606-5. PMID 19089453.  https://dx.doi.org/10.1007%2Fs00439-008-0606-5
  3. Chanda, P; Yuhki, N; Li, M; Bader, JS; Hartz, A; Boerwinkle, E; Kao, WH; Arking, DE (2012). "Comprehensive evaluation of imputation performance in African Americans". Journal of Human Genetics 57 (7): 411–21. doi:10.1038/jhg.2012.43. PMID 22648186.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3477509
  4. Hickey, John M.; Crossa, Jose; Babu, Raman; De Los Campos, Gustavo (2012). "Factors Affecting the Accuracy of Genotype Imputation in Populations from Several Maize Breeding Programs". Crop Science 52 (2): 654. doi:10.2135/cropsci2011.07.0358.  https://dx.doi.org/10.2135%2Fcropsci2011.07.0358
  5. "Mach". http://www.sph.umich.edu/csg/abecasis/MACH/tour/imputation.html. 
  6. "Impute2". http://mathgen.stats.ox.ac.uk/impute/impute_v2.html. 
  7. "Beagle". http://faculty.washington.edu/browning/beagle/beagle.html. 
  8. McCarthy, MI; Abecasis, GR; Cardon, LR; Goldstein, DB; Little, J; Ioannidis, JP; Hirschhorn, JN (2008). "Genome-wide association studies for complex traits: Consensus, uncertainty and challenges". Nature Reviews Genetics 9 (5): 356–69. doi:10.1038/nrg2344. PMID 18398418.  https://dx.doi.org/10.1038%2Fnrg2344
  9. Chanda, Pritam; Huang, Hailiang; Arking, Dan E.; Bader, Joel S. (2013). Veitia, Reiner Albert. ed. "Fast Association Tests for Genes with FAST". PLOS ONE 8 (7): e68585. doi:10.1371/journal.pone.0068585. PMID 23935874. Bibcode: 2013PLoSO...868585C.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3720833
  10. Chanda, P; Zhang, A; Brazeau, D; Sucheston, L; Freudenheim, JL; Ambrosone, C; Ramanathan, M (2007). "Information-theoretic metrics for visualizing gene-environment interactions". American Journal of Human Genetics 81 (5): 939–63. doi:10.1086/521878. PMID 17924337.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2265645
  11. Chanda, Pritam; Sucheston, Lara; Liu, Song; Zhang, Aidong; Ramanathan, Murali (2009). "Information-theoretic gene-gene and gene-environment interaction analysis of quantitative traits". BMC Genomics 10: 509. doi:10.1186/1471-2164-10-509. PMID 19889230.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2779196
  12. Chanda, P.; Sucheston, L.; Zhang, A.; Brazeau, D.; Freudenheim, J. L.; Ambrosone, C.; Ramanathan, M. (2008). "AMBIENCE: A Novel Approach and Efficient Algorithm for Identifying Informative Genetic and Environmental Associations with Complex Phenotypes". Genetics 180 (2): 1191–210. doi:10.1534/genetics.108.088542. PMID 18780753.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2567367
  13. "MDR". http://www.multifactordimensionalityreduction.org/. 
  14. Shang, Junliang; Zhang, Junying; Sun, Yan; Zhang, Yuanke (2013). "EpiMiner: A three-stage co-information based method for detecting and visualizing epistatic interactions". Digital Signal Processing 24: 1–13. doi:10.1016/j.dsp.2013.08.007.  https://dx.doi.org/10.1016%2Fj.dsp.2013.08.007
  15. "BOOST". http://bioinformatics.ust.hk/BOOST.html. 
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