Statistical and Computational Methods for Genetic Diseases: An Overview

Comput Math Methods Med. 2015:2015:954598. doi: 10.1155/2015/954598. Epub 2015 May 28.

Abstract

The identification of causes of genetic diseases has been carried out by several approaches with increasing complexity. Innovation of genetic methodologies leads to the production of large amounts of data that needs the support of statistical and computational methods to be correctly processed. The aim of the paper is to provide an overview of statistical and computational methods paying attention to methods for the sequence analysis and complex diseases.

Publication types

  • Review

MeSH terms

  • Algorithms
  • Bayes Theorem
  • Computational Biology / methods*
  • DNA / chemistry
  • Frameshift Mutation
  • Gene Deletion
  • Genetic Diseases, Inborn / genetics*
  • Humans
  • Markov Chains
  • Models, Statistical
  • Mutation
  • Polymorphism, Single Nucleotide
  • Quantitative Trait Loci
  • RNA Splicing
  • Research Design
  • Software
  • Statistics as Topic*

Substances

  • DNA