Analyze gene therapy vector insertion sites data identified from genomics next generation sequencing reads for clonal tracking studies

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Documentation for package ‘ISAnalytics’ version 1.0.11

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aggregate_metadata Performs aggregation on metadata contained in the association file.
aggregate_values_by_key Aggregates matrices values based on specified key.
annotation_IS_vars Names of the annotation variables for an integration matrix.
association_file_columns Names of the columns in the association file.
as_sparse_matrix Converts tidy integration matrices in the original sparse matrix form.
CIS_grubbs Grubbs test for Common Insertion Sites (CIS).
CIS_volcano_plot Trace volcano plot for computed CIS data.
clinical_relevant_suspicious_genes Clinical relevant suspicious genes (for mouse and human).
comparison_matrix obtain a single integration matrix from individual quantification matrices.
compute_abundance Computes the abundance for every integration event in the input data frame.
compute_near_integrations Scans input matrix to find and merge near integration sites.
cumulative_count_union Integrations cumulative count in time by sample
date_columns_coll Possible choices for 'date_col' parameter.
date_formats Possible choices for the 'dates_format' parameter in 'import_association_file', 'import_parallel_vispa2Matrices_interactive' and 'import_parallel_vispa2Matrices_auto'.
default_stats A set of pre-defined functions for 'sample_statistics'.
generate_blank_association_file Creates a blank association file.
generate_Vispa2_launch_AF Creates a reduced association file for Vispa2 run, given project and pool
import_association_file Import the association file from disk
import_parallel_Vispa2Matrices_auto Import integration matrices based on the association file.
import_parallel_Vispa2Matrices_interactive Import integration matrices based on the association file.
import_single_Vispa2Matrix Import a single integration matrix from file
ISAnalytics ISAnalytics: Analyze gene therapy vector insertion sites data identified from genomics next generation sequencing reads for clonal tracking studies
known_clinical_oncogenes Known clinical oncogenes (for mouse and human).
mandatory_IS_vars Names of mandatory variables for an integration matrix.
matching_options Possible choices for the 'matching_opt' parameter.
quantification_types Possible choices for the 'quantification_type' parameter.
realign_after_collisions Re-aligns matrices of other quantification types based on the processed sequence count matrix.
reduced_AF_columns Names of the columns of the association file to consider for Vispa2 launch.
remove_collisions Identifies and removes collisions based on the sequence count matrix.
sample_statistics Computes user specified functions on numerical columns and updates the metadata data frame accordingly.
separate_quant_matrices Separate a multiple-quantification matrix into single quantification matrices.
threshold_filter Filter data frames with custom predicates
top_integrations Sorts and keeps the top n integration sites based on the values in a given column.
unzip_file_system A utility function to unzip and use example file systems included in the package