gamasses.massvectorlist {mscalib}R Documentation

Abundant masses

Description

Determines abundant masses in a massvector.

Usage

## S3 method for class 'massvectorlist':
gamasses(object,accur=0.1,abund=50,...)

Arguments

...
abund how many times a mass have to occur to be an abundant mass.
accur measurment accuracy
object massvectorlist

Details

Abundant masses are masses that occur in a large fraction of the massvectors. Typical abundant mass are derived from tryptic autoproteolysis products. Abundant masses can also often be assigned to keratin isoforms (human hair- and skin proteins). Many of the abundant masses cannot be assigned to any protein. Abundant masses can be used for calibration. Removing them may increase the identification specificity.

Value

massvector massvector with abundant masses.

Author(s)

Witold Wolski wolski@molgen.mpg.de

References

-
Wolski http://www.molgen.mpg.de/~wolski/mscalib

See Also

gamasses.massvector,

Examples

 data(mvl)
 #Filtering for abundant masses.
 res<-gamasses(mvl,abund=50)
 plot(res)
 mvFilter(mvl[[1]],res)
 res2<-mvFilter(mvl,res,abundant=TRUE)
 image(res2,what="lengthmv")
 image(mvl,what="lengthmv")
 image(image(res2,what="lengthmv")/image(mvl,what="lengthmv"))
 
 hist(mvl,accur=0.3)
 hist(res2,add=TRUE,col=2,accur=0.3)

[Package mscalib version 0.5.9 Index]