![]() Runge-Kutta 2nd order method to solve Differential equations.Mathematics | Partial Orders and Lattices.Mathematics | Power Set and its Properties.Mathematics | Predicates and Quantifiers | Set 1.Mathematics | Euler and Hamiltonian Paths.Mathematics | Total number of possible functions.Mathematics | Graph Isomorphisms and Connectivity.Mathematics | Introduction and types of Relations.Newton's Divided Difference Interpolation Formula.Mathematics | Walks, Trails, Paths, Cycles and Circuits in Graph.Mathematics | L U Decomposition of a System of Linear Equations.Mathematics | Introduction to Propositional Logic | Set 1.Relationship between number of nodes and height of binary tree.ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.UPDATE: I have cross-posted this question to the spctools-discuss google group, which is dedicated to proteomics questions. 1 from this paper from the Mann lab, which graphs the distribution of mass deviations in terms of ppm. So, can someone perhaps shed light on why ppm seems to be preferred?Įven statistical treatments tend to use ppm where I would expect to see Th, e.g. Parts per million mass accuracy on an Orbitrap mass spectometer via lock mass injection in a C-trap.Īccording to Gross in Mass spectrometry: a textbook:Īs mass spectrometers tend to have similar absolute mass accuracies over a comparatively wide range, absolute mass accuracy represents a more meaningful way of stating mass accuracies than the more trendy use of ppm. When describing the latest-and-greatest new machines, the literature seems to stick with ppm, e.g. I find this confusing, since ppm will mean different things at different m/z values. However, in practice, the relative unit ppm seems to be used instead. My first thought is that since mass (or rather m/z) is the thing being measured, accuracy should be measured in absolute units of m/z, i.e. mass deviation thresholds are important parameters in peptide identification programs). However, I suspect that an understanding of this area might influence my choice/usage of proteomic pipeline software (e.g. At first glance, this might not look like a bioinformatics question. ![]()
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