Estimation of the number of nucleotide substitutions when there are strong transition-transversion and G+C-content biases. (original) (raw)

Journal Article

Search for other works by this author on:

Navbar Search Filter Mobile Enter search term Search

Abstract

A simple mathematical method is developed to estimate the number of nucleotide substitutions per site between two DNA sequences, by extending Kimura's (1980) two-parameter method to the case where a G+C-content bias exists. This method will be useful when there are strong transition-transversion and G+C-content biases, as in the case of Drosophila mitochondrial DNA.

This content is only available as a PDF.

Citations

Views

Altmetric

Metrics

Total Views 1,491

192 Pageviews

1,299 PDF Downloads

Since 12/1/2016

Month: Total Views:
December 2016 3
January 2017 5
February 2017 24
March 2017 22
April 2017 6
May 2017 22
June 2017 18
July 2017 19
August 2017 16
September 2017 7
October 2017 13
November 2017 20
December 2017 10
January 2018 23
February 2018 5
March 2018 30
April 2018 20
May 2018 2
June 2018 5
July 2018 5
August 2018 4
September 2018 5
October 2018 6
November 2018 9
December 2018 19
January 2019 3
February 2019 7
March 2019 12
April 2019 8
May 2019 8
June 2019 8
July 2019 6
August 2019 8
September 2019 6
October 2019 8
November 2019 6
December 2019 13
January 2020 6
February 2020 6
March 2020 4
April 2020 3
May 2020 1
June 2020 4
July 2020 8
August 2020 10
September 2020 7
October 2020 18
November 2020 11
December 2020 22
January 2021 9
February 2021 12
March 2021 16
April 2021 25
May 2021 20
June 2021 20
July 2021 11
August 2021 10
September 2021 13
October 2021 25
November 2021 12
December 2021 25
January 2022 18
February 2022 18
March 2022 24
April 2022 26
May 2022 21
June 2022 14
July 2022 10
August 2022 24
September 2022 14
October 2022 37
November 2022 20
December 2022 25
January 2023 22
February 2023 30
March 2023 31
April 2023 32
May 2023 18
June 2023 23
July 2023 19
August 2023 15
September 2023 15
October 2023 21
November 2023 26
December 2023 27
January 2024 34
February 2024 29
March 2024 32
April 2024 29
May 2024 34
June 2024 18
July 2024 19
August 2024 19
September 2024 23
October 2024 15

×

Email alerts

Email alerts

Citing articles via

More from Oxford Academic