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  2. pone.0107211 1..10

    https://www2.mrc-lmb.cam.ac.uk/groups/JYL/PDF/leoa2014.pdf
    3 Sep 2014: DLPs. We attempted to test this hypothesis directly but were. unable to obtain either individually, in combination, or expressed.
  3. DOI: 10.1126/science.1256917, 963 (2014);346 Science et al.Thomas G.…

    https://www2.mrc-lmb.cam.ac.uk/groups/JYL/PDF/Science-2014-Gligoris-963-7.pdf
    21 Nov 2014: S7E). Sister DNAs are entrapped bycohesin trimers. To test whether cross-linking all three interfacesof the cohesin ring entraps sister DNAs in a co-valent topological embrace, we isolated dimersof a
  4. Statistical Theory; Why is the Gaussian Distribution so popular? ...

    https://www2.mrc-lmb.cam.ac.uk/groups/murshudov/content/courses/lmb_statistics_course_2014/lectures/Lecture4_Statistical_Theory.pdf
    17 Mar 2014: Compare means to test for differences. • Consider variance (and shape) of the distributions – help choose appropriate prior/protocol. •
  5. Tutorial 2: Descriptive Statisticsand Exploratory Data Analysis…

    https://www2.mrc-lmb.cam.ac.uk/download/tutorial-2-descriptive-statistics-2/?wpdmdl=18820&refresh=6657287fa69801716988031
    20 Mar 2014: Petal.Width and systematically higher Sepal.Width thanthe other two species, although to draw such conclusions we would have to test suchhypotheses properly).
  6. Tutorial 2: Descriptive Statisticsand Exploratory Data Analysis…

    https://www2.mrc-lmb.cam.ac.uk/groups/murshudov/content/courses/lmb_statistics_course_2014/tutorials/descriptive_statistics_and_exploratory_data_analysis_answers.pdf
    20 Mar 2014: Petal.Width and systematically higher Sepal.Width thanthe other two species, although to draw such conclusions we would have to test suchhypotheses properly).
  7. Statistical Theory; Why is the Gaussian Distribution so popular? ...

    https://www2.mrc-lmb.cam.ac.uk/download/statistical-theory-why-is-the-gaussian-distribution-so-popular-rob-nicholls/?wpdmdl=18809&refresh=665728801526e1716988032
    17 Mar 2014: Compare means to test for differences. • Consider variance (and shape) of the distributions – help choose appropriate prior/protocol. •

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