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Princeton University High Throughput Sequencing Database
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Welcome to the Princeton University High Throughput Sequencing Database project at the Lewis-Sigler Institute. This project, currently under development, attempts to model and store the data produced by high-throughput sequencing analyses. For mass spectrometry assays (proteomics and metabolomics), please visit the PUMPd project. For microarray-based assays, please visit the PUMA project.

Princeton researchers and their collaborators should register for a database account. If you are a world user, and are just trying to reach viewable data, click here to activate a world session

Announcements

2016-01-19 : New Features!

  • Added new sample design types: ATAC-seq, Bisulfite-seq, Nucleosome, PCR Fragment, RAD-seq, Targeted-seq and miRNA-seq.
  • Assays now can contain multiple, non-multiplexed samples
  • Core jobs now have explicit inputs and outputs

2016-01-01 : State of the Database: HTSEQ now houses over 1750 assays.

2015-05-26 : New Features!

  • Introduced more flexible data model
  • Added sample, assay, and study provenance graphs
  • Improved search performance





HTSEQ is funded in part by the National Institute of General Medical Sciences (NIGMS) [NIH grant P50 GM071508]. HTSEQ is a project within the Lewis-Sigler Institute for Integrative Genomics of Princeton University. Some HTSEQ software was derived from microarray database software produced by both the PUMAdb and SMD projects.


Permission to use the information contained in this database was given by the researchers/institutes who contributed or published the information. Users of the database are solely responsible for compliance with any copyright restrictions, including those applying to the author abstracts. Documents from this server are provided "AS-IS" without any warranty, expressed or implied.