HTSeq Database

The HTSEQ database provides access to quality control statistics about your data generated by the Illumina basecaller and the FastQC software package.


The Galaxy workflow system provides a simple way to analyze high-throughput sequencing and other biological datasets.

The Lewis-Sigler Institute Bioinformatics Group has setup a local instance of Galaxy for use by Princeton researchers.

In addition to many of the tools available from the public instance of Galaxy at Penn State, our local version provides easy upload of data from the HTSEQ system as well as a number of customized analysis tools requested by researchers in the Institute.

Find more information about Galaxy, including a list of the most useful tools for high throughput sequence analysis.

Other Resources

Princeton HTSEQ Users Group

The Princeton HTSEQ Users Group provides discussion groups, regular meetings, where users share tips and methods in dealing with sequence data.  There are list of tutorials on the website as well as a list of software that users have found particularly useful.

Lewis-Sigler and University Computing Resources

In addition to HTSEQ and Galaxy, the Lewis-Sigler Instutute provides it's members with access to various genomics computing resources including various Linux servers, high performance data storage, and cluster (grid) computing systems.

TIGRESS High Performance Computing Center

The University's TIGRESS High Performance Computing Center is a collaborative facility that brings together funding, support, and participation from the Princeton Institute for Computational Science and Engineering (PICSciE), the Office of Information Technology (OIT), the School of Engineering and Applied Science (SEAS), the Lewis Sigler Institute for Integrative Genomics (Genomics) , the Princeton Institute for the Science and Technology of Materials (PRISM), the Princeton Plasma Physics Laboratory (PPPL), and a number of academic departments and faculty members. The facility is designed to create a well balanced set of High Performance Computing (HPC) resources meeting the broad computational requirements of the University research community.