Biostatistics genomics

  • What is the application of statistics in genomics?

    Statistical methods in integrative genomics aim to answer important biology questions by jointly analyzing multiple types of genomic data (vertical integration) or aggregating the same type of data across multiple studies (horizontal integration)..

  • Why is biostatistics important in genetics?

    Modern biostatistical methods help to better understand the genetic structure of diseases, disease progression and pathways, and to study the impact of environmental exposures on chronic diseases..

  • Statistical genetic effects are variance components that are attributable to the underlying physiological genetic effects.
    Because selection requires heritable variation to be effective, it is the statistical rather than the physiological genetic effects that are important in evolution.
  • Statistical geneticists at SPH develop statistical methods for understanding the genetic basis of human diseases and traits.
    These methods involve large-scale data sets from candidate-gene, genome-wide and resequencing studies, using both unrelated and related individuals.
Statistical Genetics Statistical geneticists at SPH develop statistical methods for understanding the genetic basis of human diseases and traits. These 

What does a statistical geneticist do?

Statistical geneticists at SPH develop statistical methods for understanding the genetic basis of human diseases and traits.
These methods involve large-scale data sets from candidate-gene, genome-wide and resequencing studies, using both unrelated and related individuals.

What is genomic data analysis X series?

The Genomics Data Analysis XSeries is an advanced series that will enable students to analyze and interpret data generated by modern genomics technology.
Using open-source software, including:

  • R and Bioconductor
  • you will acquire skills to analyze and interpret genomic data.

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