Showing 3 of total 3 results (show query)
bioc
xcms:LC-MS and GC-MS Data Analysis
Framework for processing and visualization of chromatographically separated and single-spectra mass spectral data. Imports from AIA/ANDI NetCDF, mzXML, mzData and mzML files. Preprocesses data for high-throughput, untargeted analyte profiling.
Maintained by Steffen Neumann. Last updated 19 days ago.
immunooncologymassspectrometrymetabolomicsbioconductorfeature-detectionmass-spectrometrypeak-detectioncpp
196 stars 14.31 score 984 scripts 11 dependents
guokai8
microbial:Do 16s Data Analysis and Generate Figures
Provides functions to enhance the available statistical analysis procedures in R by providing simple functions to analysis and visualize the 16S rRNA data.Here we present a tutorial with minimum working examples to demonstrate usage and dependencies.
Maintained by Kai Guo. Last updated 6 months ago.
softwaregraphandnetworkmicrobiomemicrobiome-analysis
13 stars 5.81 score 25 scripts
tspaulding-esa
telemetR:Filter and Analyze Generalised Telemetry Data from Organisms
Analyze telemetry datasets generalized to allow any technology. The filtering steps check for false positives caused by reflected transmissions from surfaces and false pings from other noise generating equipment. The filters are based on JSATS filtering algorithms found in package 'filteRjsats' <https://CRAN.R-project.org/package=filteRjsats> but have been generalized to allow the user to define many of the filtering variables. Additionally, this package contains scripts used to help identify an optimal maximum blanking period as defined in Capello et al (2015) <doi:10.1371/journal.pone.0134002>. The functions were written according to their manuscript description, but have not been reviewed by the authors for accuracy. It is included here as is, without warranty.
Maintained by Taylor Spaulding. Last updated 1 years ago.
2 stars 3.30 score 3 scripts