  The integration of sequencing data with clinical information is a widely
accepted strategy in bioinformatics and health informatics. Despite advanced
databases and sophisticated tools for processing omics data, challenges remain
in handling the raw clinical data (typically in XLSX format with multiple
sheets inside), either exported from health information system (HIS) or
manually collected by investigators. This is particularly difficult for
time-constrained medical staff with little or no programming background, and it
is typically the first bottleneck in many clinical-oriented studies. To fill
this gap, we developed EasyMergeR, a simple, user-friendly, code-free R Shiny
application that allows interactive manipulation of multiple XLSX files with
multiple sheets and provides basic data manipulation capabilities based on the
tidyverse and other handy R packages.
