1. I don't know.
2. The Agilent IBDASpecData interface returns an array of 64-bit floats
for m/z values and an array of 32-bit floats for intensity values.
However, msconvert ALWAYS defaults to writing 64-bit m/z values and
32-bit intensity values, regardless of the precision of the input. It's
a safe enough assumption. The 1000514 refers to the m/z array term in
the PSI-MS CV and the 1000515 refers to the intensity array. I agree
that behavior is absurdly confusing and jargonish. The byte order is
also pretty much irrelevant since both mzXML and mzML specify a
mandatory byte order. It would only matter for mzData which we don't
support yet.
3. Yes, for high accuracy data, there is benefit to using 64-bit m/z
values. But not a terribly significant benefit:
1234.567 -> 7 significant base10 digits is the worst case for 32-bit
IEEE-794 AFAIK.
-Matt
bio.x2y wrote:
Hi,
Msconvert allows the user to specify the required precision of output
peak data - either 32-bit or 64-bit.
Trapper does not seem to have an equivalent switch (at least there is
no mention of it in the usage documentation).
(1) Is there a way to force Trapper to generate 64-bit precision
output?
(2) I'm wondering if I would "lose" data by using Trapper for Agilent
MassHunter ".d" data.
I'm not comfortable enough with C++ to answer this for myself - when
Trapper/Msconvert call the Agilent interface, do they receive back 32-
bit or 64-bit data? I'd like to know if the 64-bit precision of
Msconvert is actually giving me real data, or just padding out 32-bit
numbers to help collapse my hard drive?
(3) This is probably a question I should be able to answer myself, and
might be much too broad for here, but might there be any practical
benefit for having 64-bit data rather than 32-bit? I suspect that the
different might be negligible in the sense that the difference between
a 32-bit and 64-bit m/z would have no impact on things like peptide
identification or feature detection for quantification?
Thanks again,
bio.x2y
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