# HG changeset patch # User recetox # Date 1598347043 0 # Node ID 2bb3c7ae9777eb3fc42726a99e98ae9bef8a51cf "planemo upload commit 40818fd30d8cf43485c215e7ce10c16757024957-dirty" diff -r 000000000000 -r 2bb3c7ae9777 aplcms_hybrid.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/aplcms_hybrid.xml Tue Aug 25 09:17:23 2020 +0000 @@ -0,0 +1,80 @@ + + + aplcms_macros.xml + + + + + + + + + + + + + + + + + + + + + + This is the Hybrid version of apLCMS which is incorporating the knowledge of known metabolites and historically + detected features on the same machinery to help detect and quantify lower-intensity peaks. + + CAUTION: To use such knowledge, especially historical data, you must keep using (1) the same chromatography + system (otherwise the retention time will not match), and (2) the same type of samples with similar extraction + technique, such as human serum. + + @GENERAL_HELP@ + + + + \ No newline at end of file diff -r 000000000000 -r 2bb3c7ae9777 aplcms_macros.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/aplcms_macros.xml Tue Aug 25 09:17:23 2020 +0000 @@ -0,0 +1,146 @@ + + deployment + + + + recetox_datatypes + registry.gitlab.ics.muni.cz:443/recetox/mass-spectrometry/aplcms:deployment + + + + + + + + + + + + +
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+ + + apLCMS is a software which generates a feature table from a batch of LC/MS spectra. The m/z and retention time + tolerance levels are estimated from the data. A run-filter is used to detect peaks and remove noise. + Non-parametric statistical methods are used to find-tune peak selection and grouping. After retention time + correction, a feature table is generated by aligning peaks across spectra. For further information on apLCMS + please refer to http://web1.sph.emory.edu/apLCMS. + + + + + 10.1093/bioinformatics/btp291 + 10.1186/1471-2105-11-559 + 10.1021/pr301053d + 10.1093/bioinformatics/btu430 + + +
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