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16 - Finding genes: in the world of snurpsp

Published online by Cambridge University Press:  05 August 2012

Tore Samuelsson
Affiliation:
Göteborgs Universitet, Sweden
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Summary

I fell in love with RNA in one of my first jobs as an undergraduate.

(Joan Steitz, quoted by Sedwick, 2011)

Methods of gene prediction

We saw in the previous chapter how prediction of CpG islands may be used to identify transcription start sites of protein-coding genes. However, there are many other elements and statistical properties of such genes that we may exploit for gene finding.

What are the methods available for computational gene finding? In general, one may distinguish between two major categories: de novo or ab initio methods and homology-based methods. The de novo methods make use of statistical signals in DNA sequences that are characteristic of protein-coding genes; the homology-based methods rely on the identification of exons by matching known mRNA or protein sequences or even profile HMMs to a genomic sequence. The homology-based methods are powerful but they require that mRNA or protein sequence information is available. Here we will focus on the de novo type of gene finding. What are the signals characteristic of proteincoding genes?

Type
Chapter
Information
Genomics and Bioinformatics
An Introduction to Programming Tools for Life Scientists
, pp. 208 - 221
Publisher: Cambridge University Press
Print publication year: 2012

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References

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