writeMethodXmls | R Documentation |
This function is used to create Orbitrap Fusion Lumos method files from
a tree-like list
experiment generated by e.g.
createExperimentsFragmentOptimisation()
.
writeMethodXmls(exps, pattern = "method-%s.xml", verbose = interactive())
exps |
|
pattern |
|
verbose |
|
exps
: a named tree-like list
object generated by e.g.
createExperimentsFragmentOptimisation()
. Its names are used as filename.
pattern
: The file name pattern used to name different method files.
It must contain a "%s"
that is replaced by the conditions defined in
groupBy
.
DEFUNCT options:
ms1Settings
:
A list
of MS1 settings. This has to be a named list
.
Valid MS1 settings are:
c("FirstMass", "LastMass", "Microscans", "MaxITTimeInMS", "AgcTarget")
ms2Settings
:
A list
of MS2 settings. This has to be a named list
.
Valid MS2 settings are:
c("ActivationType", "IsolationWindow", "EnableMultiplexIons", "EnableMSXIds", "MaxNoOfMultiplexIons", "OrbitrapResolution", "AgcTarget", "MinAgcTarget", "MaxITTimeInMS", "Microscans", "ETDReactionTime", "ETDReagentTarget", "MaximumETDReagentInjectionTime", "UseInternalCalibratedETD", "ETDSupplementalActivationEnergy", "ETDSupplementalActivation")
groupBy
: The groupBy
parameter is used to split methods into
different files. Valid entries are all settings that could be used in
ms2Settings
and "replication"
.
massLabeling
: The Orbitrap Fusion devices seems not to respect the
start and end times of the runs given in the method.xml files. That's why it
is nearly impossible to identify the run with its conditions based on the
timings. If massLabeling
is TRUE
(default) the mass values given
in mz
are rounded to the first decimal place and the second to fourth
decimal place is used as numeric identifier.
Sebastian Gibb mail@sebastiangibb.de, Pavel V. Shliaha pavels@bmb.sdu.dk
createExperimentsFragmentOptimisation()
ms1 <- expandMs1Conditions(FirstMass=400, LastMass=1200, Microscans=as.integer(10))
targetMz <- cbind(mz=c(560.6, 700.5, 933.7), z=rep(1, 3))
common <- list(
OrbitrapResolution="R120K",
IsolationWindow=1,
MaxITTimeInMS=200,
Microscans=as.integer(40),
AgcTarget=c(1e5, 5e5, 1e6)
)
cid <- expandTms2Conditions(
MassList=targetMz,
common,
ActivationType="CID",
CIDCollisionEnergy=seq(7, 35, 7)
)
hcd <- expandTms2Conditions(
MassList=targetMz,
common,
ActivationType="HCD",
HCDCollisionEnergy=seq(7, 35, 7)
)
etd <- expandTms2Conditions(
MassList=targetMz,
common,
ActivationType="ETD",
ETDReagentTarget=c(1e6, 5e6, 1e7),
ETDReactionTime=c(2.5, 5, 10, 15, 30, 50),
ETDSupplementalActivation=c("None", "ETciD", "EThcD"),
ETDSupplementalActivationEnergy=seq(7, 35, 7)
)
exps <- createExperimentsFragmentOptimisation(ms1=ms1, cid, hcd, etd,
groupBy=c("AgcTarget", "replication"), nMs2perMs1=10, scanDuration=0.5,
replications=2, randomise=TRUE
)
writeMethodXmls(exps=exps)
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