assign_isotopes | Assign isotopes to a feature set |
calcIsotopeMatrix | Create a matrix for isotope abundanc computation and id |
compute_formulae | Compute molecular formulae for a list of masses in the... |
compute_group_data | compute group statistics |
count_peak_groups | count_peak_groups |
create_hit_table | Create a hit table of results in the SQLite data base. |
create_ref_table | Creates a reference / master table of compounds for RT... |
createTables | Create tables for hit lists |
delta_formula | Compute the delta formula for two features, the precursor and... |
findIsotopes | Find isotopic peaks in peak data |
findIsotopesPspec | Find isotopes in psuedo spectra |
find_known_adducts | Find known adducts by searching against a database of known... |
find_peaks | Find peaks from a vector of intensities |
getAlignmentData | Get alignment data from aligned DNA adducts |
get_atom_counts | Retrieve the atomic counts and mass defect for a given... |
get_hit_table | Get plotly figure for table |
getMassTolRange | getMassTolRange |
getPeak | Get the peak |
getValid | get valid atomic formulae |
groupFWHM | Group peaks by retention time |
join_align | Perform retention time aligment using the joing align... |
list.dirs.depth.n | List directories in folder |
mdnadb | Known modified DNA nucleotides. |
merge_tables | Merge two sqlite DB tables together for alignment |
naOmit | Omit NA values |
plot_candidate | Plot candidate DNA adduct |
plot_dna_adduct_map | Plot a DNA adduct heat map |
plotPeak | Plots the spectrum of precursor and aglycones |
plot_peak_group | plot peaks that are DNA adducts. |
plotPeak.plotly | Plots the spectrum of precursor and aglycones using plotly |
ppmErr | ppmErr |
refine_table | Refine table and remove duplicates |
search_delta_mass | search_delta_mass |
search_filter | search_filter |
search_NLM | search_NLM Wrappper function to search for the neutral loss... |
setScanDef | set_scan_def |
similarityScore_gauss | Score similarity using Gaussian function |
similarityScore_laplace | Score similarity using Gaussian function |
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