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