MagiCMicroRna: a web implementation of AgiMicroRna using shiny.

ABSTRACT:

Background

MicroRNA expression can be quantified using sequencing techniques or commercial microRNA-expression arrays. Recently, the AgiMicroRna R-package was published that enabled systematic preprocessing and statistical analysis for Agilent microRNA arrays. Here we describe MagiCMicroRna, which is a user-friendly web interface for this package, together with a new filtering approach.

Results

We used MagiCMicroRna to normalize and filter an Agilent miRNA microarray dataset of cancerous and normal tissues from 14 different patients. With the standard filtering procedure, 250 out of 817 microRNAs remained, whereas the new group-specific filtering approach resulted in broader datasets for further analysis in most groups (>279 microRNAs remaining).

Conclusions

The user-

SUBMITTER: Coonen MLj 

PROVIDER: S-EPMC4383057 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature