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Cloud Parallel Processing of Tandem Mass S... (1)

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A workflow for searching LC−MS/MS mass spectrometry data using X!Tandem on the cloud. The workflow consists of 5 processors. The objectLogic processor prepares all inputs in the right format, i.e. keeping or converting strings into file object according to the following processor. The mzxmlDecomposer and pepxmlComposer run the decomposing/recomposing algorithms. objectLogic, mzxmlDecomposer and pepxmlComposer are Beanshell processors and they run locally. Xtandem runs X!Tandem on a remo...

Created: 2012-09-10

Credits: Yassene

Cloud Parallel Processing of Tandem Mass S... (1)

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A workflow for searching LC−MS/MS data using SpectraST on the cloud. The processor mzxmlDecomposer, pepxmlUnzip, and pepxmlComposer are identical to the one in the X!Tandem workflow (Figure 2). The only difference is that the Xtandem processor is exchanged with the Spectrast processor and the constant inputs are adjusted to SpectraST. This approach is also possible for other search engines as described in Data Decomposition and Recomposition Algorithms. More details can be found here:...

Created: 2012-09-10

Credits: Yassene

Cloud Parallel Processing of Tandem Mass S... (1)

An advanced scientific workflow for searching LC−MS data using SpectraST on the cloud. Uploading the libraries is optimized to achieve better performance, which makes this workflow more suitable for processing mzXML spectra files from human samples, as the corresponding NIST library needed by SpectraST is larger than 2 GB. Here we connect 3 nested workflows, in which the first 2, i.e., decomposeMzxml and uploadToCloud, run in parallel, while the third nested workflow, i.e. runSpectrastO...

Created: 2012-09-10 | Last updated: 2015-08-19

Credits: Yassene