User:Liuxiaohao0927/Choose an Article

Article Selection
Please list articles that you're considering for your Wikipedia assignment below. Begin to critique these articles and find relevant sources.

Option 1

 * Article title
 * Omics


 * Article Evaluation
 * The lead has an introductory sentence and does not include irrelevant information but the clear defination is not found. Its content show high relevance to the topic and some are up-to-date but some of the content are not detailed. More details should be supplemented into the article. It is an article with neutral idea without bias. There is no overrepresented or underrepresented viewpoints found in the whole article. No sign of persuasion is detected. All facts in the article backed up by a reliable source. Some of the sources are current whereas other are not. Sources are working well. The article is well-written and easy to read. No grammatical or spelling errors are found. The organization of the article is relatively simple which may be able to be updated in the future. The article does not provide useful images that help to explain the concept "omics". A relatively irrelevant image is found in the "origin" section however it is not beneficial to enhance the understanding of the topic. It is rated as the C-Class on the quality scale. It is a part of WikiProject Molecular and Cell Biology project. Most of the discussion are related to the question whether it is approriate to describe some concepts in Wikipedia whereas our discussion about the concept on the class are relevant to the application progression of the concept in science. It is sometimes useful for people who are involved in the related professiones but not for every reader. The content is substantial with lots of information but some important details are missing.


 * Sources
 * Patti G J, Yanes O, Siuzdak G. Innovation: Metabolomics: the apogee of the omics trilogy[J]. Nature reviews Molecular cell biology, 2012, 13(4): 263.
 * Robinson J T, Thorvaldsdóttir H, Winckler W, et al. Integrative genomics viewer[J]. Nature biotechnology, 2011, 29(1): 24.
 * Bartel D P. MicroRNAs: genomics, biogenesis, mechanism, and function[J]. cell, 2004, 116(2): 281-297.
 * Griffiths-Jones S, Saini H K, van Dongen S, et al. miRBase: tools for microRNA genomics[J]. Nucleic acids research, 2007, 36(suppl_1): D154-D158.
 * Cerami E, Gao J, Dogrusoz U, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data[J]. 2012.
 * Van Dongen J, Slagboom P E, Draisma H H M, et al. The continuing value of twin studies in the omics era[J]. Nature Reviews Genetics, 2012, 13(9): 640.
 * Naba A, Clauser K R, Ding H, et al. The extracellular matrix: Tools and insights for the “omics” era[J]. Matrix Biology, 2016, 49: 10-24.
 * Reiser M. The ethomics era?[J]. Nature methods, 2009, 6(6): 413.
 * Mortazavi A, Williams B A, McCue K, et al. Mapping and quantifying mammalian transcriptomes by RNA-Seq[J]. Nature methods, 2008, 5(7): 621.
 * Fiehn O. Metabolomics—the link between genotypes and phenotypes[M]//Functional genomics. Springer, Dordrecht, 2002: 155-171.

Option 2

 * Article title
 * Statistical genetics


 * Article Evaluation
 * The lead has an introductory sentence with clear term definition and does not include irrelevant information. It lacks of detailed up-to-date contents, which indicates more details should be supplemented into the article. Since there is no much contents in this article, it remians further work on it and related evaluation. It is rated as the Stub-Class on the quality scale. It is a part of WikiProject Statistics and WikiProject Genetics project.


 * Sources
 * Handbook of statistical genetics[M]. John Wiley & Sons, 2008.
 * Sobel E, Papp J C, Lange K. Detection and integration of genotyping errors in statistical genetics[J]. The American Journal of Human Genetics, 2002, 70(2): 496-508.
 * Wright S. Statistical genetics and evolution[J]. Bulletin of the American Mathematical Society, 1942, 48(4): 223-246.
 * Wu R, Ma C, Casella G. Statistical genetics of quantitative traits: linkage, maps and QTL[M]. Springer Science & Business Media, 2007.
 * Hartl D L, Clark A G, Clark A G. Principles of population genetics[M]. Sunderland, MA: Sinauer associates, 1997.
 * Crow J F, Kimura M. An introduction to population genetics theory[J]. An introduction to population genetics theory., 1970.
 * Nei M. Molecular population genetics and evolution[M]. North-Holland Publishing Company., 1975.
 * Manel S, Schwartz M K, Luikart G, et al. Landscape genetics: combining landscape ecology and population genetics[J]. Trends in ecology & evolution, 2003, 18(4): 189-197.
 * Sullivan P F, Neale M C, Kendler K S. Genetic epidemiology of major depression: review and meta-analysis[J]. American Journal of Psychiatry, 2000, 157(10): 1552-1562.
 * Morton N E. Genetic epidemiology of hearing impairment[J]. Annals of the New York Academy of Sciences, 1991, 630(1): 16-31.
 * Khoury M J, Beaty T H, Cohen B H. Fundamentals of genetic epidemiology[M]. Monographs in Epidemiology and, 1993.
 * Davey Smith G, Ebrahim S. ‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?[J]. International journal of epidemiology, 2003, 32(1): 1-22.
 * Harris H. The principles of human biochemical genetics[M]. Amsterdam: North-Holland, 1975.
 * Lynch M, Walsh B. Genetics and analysis of quantitative traits[M]. Sunderland, MA: Sinauer, 1998.

Option 3

 * Article title
 * Article Evaluation
 * Sources
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Option 4

 * Article title
 * Article Evaluation
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Option 5

 * Article title
 * Article Evaluation
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