Copyright (c) 2024 Genetic Perturbation Platform, The Broad Institute of Harvard and MIT.
PoolQ is a counter for indexed samples from next-generation sequencing of pooled DNA. Given a set of sequencing data files (FASTQ, SAM, or BAM), and a pair of reference files mapping DNA barcodes to construct or experimental identifiers, PoolQ reads the sequencing data and tallies the co-occurrence of each pair of barcodes from the two files, yielding a two-dimensional histogram. The barcodes in one reference file are treated as rows in the histogram; the other correspond to columns.
PoolQ is capable of locating barcodes within reads using a variety of techniques:
- Fixed location
- Known DNA prefix
- Template matching
It matches barcodes to reference data either exactly or allowing up to one base of mismatch. Currently, PoolQ does not support matching with gaps or deletions.
In addition to producing a histogram, PoolQ generates a number of reports, which contain statistics and other information that can be used to troubleshoot experiments. These include match percentages, barcode locations, matching correlations between barcodes, and lists of frequently-occurring unknown barcodes.
For information on how to run PoolQ and its various modes and options, please see the manual. We also maintain a changelog listing updates made to PoolQ.
As of version 3.5.0, the source code to PoolQ is available under a BSD 3-clause license. We welcome contributions to PoolQ and have created a contributor guide. Additionally, we maintain a list of other open-source libraries PoolQ depends on, along with links to associated licenses.
PoolQ was completely rewritten for version 3. The new code is faster and the codebase is much cleaner and more maintainable. We have taken the opportunity to make other changes to PoolQ as well.
- There are substantial changes to the command-line interface for the program.
- The default counts file format has changed slightly, although there is a command-line argument that indicates that PoolQ 3 should write a backwards-compatible counts file. The differences are in headers only; file parsers should be able to adapt easily.
- The quality file has changed somewhat. Importantly, the definition of certain statistics has changed slightly, so quality metrics cannot be directly compared between the the new and old versions. In addition, we no longer provide normalized match counts.
See the manual for complete details on the differences versions 2 and 3.
We will continue to make the PoolQ 2.4 artifacts available for download on the GPP portal. We have no plans to add features to the code. We will address bugs on a case-by-case basis; in general only critical bugfixes will be ported to versions prior to 2.4, effective immediately.
PoolQ was originally developed by John Sullivan and Shuba Gopal of the Broad Institute RNAi Platform. It is maintained by Mark Tomko of the Broad Institute Genetic Perturbation Platform.
Your feedback of any kind is much appreciated. Please email us at gpp-informatics@broadinstitute.org.