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All functions

assess_example
Larger example dataset for further runs
assess_run()
Assess sequencing results
calcBeta()
Calculate beta diversity dissimilarities with or without rarefaction
checkAll()
checker utils in this section Check your ASV count and taxonomy tables, and optionall metadata, for potential issues.
checkMeta()
Check metadata file to identify potential downstream issues. DEPRECATED
checkSampleID()
Simple function to check for a column called SampleID
contaminate()
"Contaminate" the example ASV table so decontam can run in example
converter()
Converts tibbles, data frames, and matrices to each other as needed by the specific function
dada2_asvtable()
dada2 workflow to generate ASV table
dada2_decontam_wrapper()
Wrapper of entire dada2/decontam process
dada2_taxa()
dada2 taxa
dada2_wrapper()
dada2 wrapper
decontam_wrapper()
Decontam
exampleData
List of all three example objects in one package
example_metadata()
Load in example metadata file
filtering()
Filter the ASV table
known_dada2_dbs()
A simple tibble of the names of maintained dada2-formatted taxonomy reference databases
makeExample()
Create example data for testing and teaching purposes specifically for this package.
makeExampleMeta()
Create a simple metadata table
makeExampleSeqtab()
Creates a simple example ASV table
makeExampleTaxa()
Create a simple taxonomy table
packItUp()
Package up your three objects (metadata, asvtable, taxonomy table) into a single list for less typing
ref_db()
Set a reference database for taxonomy assignment
test_dbs()
Load test databases into environment without having to type so much. Because I'm lazy and got really tired of finding the exact text to copy paste
tibblefy()
tibblefy a specific type of data frame. DEPRECATED. use converter() instead
unsampled_example()
Load in unsampled example
whereFastqs()
Collection of helper/utility functions not really intended to be directly used by end user Path to user's fastq file folder