Get the exponential growth of nucleic acid database content

Description

Connects to the embl database to read the last release note about the number of nucleotides in the DDBJ/EMBL/Genbank database content. A log-linear fit is represented by dia.bd.gowth() with an estimate of the doubling time in months.

Usage

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get.db.growth(
where = "ftp://ftp.ebi.ac.uk/pub/databases/embl/doc/relnotes.txt")
dia.db.growth( get.db.growth.out = get.db.growth(), Moore = TRUE, ... )

Arguments

where

the file containig the database growth table.

get.db.growth.out

the output from get.db.growth()

Moore

logical, if TRUE add lines corresponding to an exponential growth rate with a doubling time of 18 months, that is Moore's law.

...

further arguments to plot

Details

This is a screenshot from fig. 1 in Lobry (2004):

At that time the doubling time was 16.9 months. This is an update in 2016 from release 3.1-5 of the seqinr tutorial http://seqinr.r-forge.r-project.org/seqinr_3_1-5.pdf:

The doubling time was 18.8 monts in this update. The fit to Moore's law is still striking over such a long period.

Value

A dataframe with the statistics from the embl site.

Author(s)

J.R. Lobry

References

http://www.ebi.ac.uk/embl/Documentation/Release_notes/current/relnotes.txt

Lobry, J.R. (2004) Life History Traits and Genome Structure: Aerobiosis and G+C Content in Bacteria. Lectures Notes in Computer Sciences, 3039:679-686.

citation("seqinr")

Examples

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## Not run: 
  ### Need internet connection
  data <- get.db.growth()
  dia.db.growth(data)

## End(Not run)

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