Cogent NGS Immune Profiler Software
Cogent NGS Immune Profiler is software designed to analyze sequence data stored in FASTQ files generated by Illumina sequencers from libraries prepared using the SMARTer Human BCR IgG IgM H/K/L Profiling Kit or SMARTer Human TCR a/b Profiling Kit v2.
If you are interested in using the Cogent NGS Immune Profiler Software, please review the End User License Agreement (EULA), then complete the form below. The Immune Profiler software is free to use according to the conditions of the EULA. Upon acceptance of the EULA and submitting the form, your browser will be directed to a website where you can download the Immune Profiler software. You will access the software as a zip archive containing the following files:
- Immune Profiler GUI launcher (MacOS only)
- Command-line interface program (Linux or MacOS)
- Mini dataset sample files—can be used to test the Immune Profiler functionality (metadata and FASTQ files)
- Mini dataset sample output reports—compare these files to the results if analyzing the mini dataset sample files
Supported operating systems
- OS X (El Capitan v10.11 and up)
- CentOS 6 or higher, RedHat 7.5 or higher
Hardware requirements
- 16 GB RAM
- At least 100 GB available hard drive space (dependent on input FASTQ file size)
Additional third-party software dependencies*
- Java 1.8 or higher
- Python 3.6 or higher
*Not included with the software; must be downloaded and installed separately.
Additional product information
For use in conjunction with the SMARTer Human BCR IgG IgM H/K/L Profiling Kit or SMARTer Human TCR a/b Profiling Kit v2. More information is available in the Cogent NGS Immune Profiler Software v1.0 User Manual, or a streamlined protocol can be found in the Cogent NGS Immune Profiler Software v1.0 Quick Start Guide.
Profiling human B-cell receptors with SMART technology
Use SMART technology and a 5' RACE approach to capture complete V(D)J variable regions of BCR transcripts.
Human TCRv2 profiling kit for Illumina sequencing
SMARTer TCR profiling with optimized chemistry, UMIs, UDIs, and bioinformatics support for more accurate, reliable clonotype calling and quantification.
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