Related Experiment Video
Updated: Nov 18, 2025

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
Published on: May 9, 2017
Falco: high-speed FastQC emulation for quality control of sequencing data
Guilherme de Sena Brandine1, Andrew D Smith1
1Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, 90089, USA.
Abstract:
Quality control is an essential first step in sequencing data analysis, and software tools for quality control are deeply entrenched in standard pipelines at most sequencing centers. Although the associated computations are straightforward, in many settings the total computing effort required for quality control is appreciable and warrants optimization. We present Falco, an emulation of the popular FastQC tool that runs on average three times faster while generating equivalent results. Compared to FastQC, Falco also requires less memory to run and provides more flexible visualization of HTML reports.
Related Concept Videos
Sanger Sequencing
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Next-generation Sequencing
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....

