Pre-installed workflows, pipelines, and no hindering command line interface makes sophisticated analysis attainable by anyone.
Custom and public statistical algorithms work in concert to easily and precisely distill data into biological relevancy.
Chromosome viewer, venn diagrams, heat maps, and other interactive visualizations reveal biology in brilliant color.
Just like people, cells are sometimes mysterious and do not readily reveal their true identity. Getting a nice t-distributed stochastic neighbour embedding (t-SNE) chart based on sequencing data is pretty much straightforward, but figuring out their biological nature can be quite challenging.
Quadrant Biosciences recently launched Partek Flow on the Amazon Web Services (AWS) cloud. We caught up with them to discuss their experience analyzing genomics data using Partek Flow on AWS.
We provide a start-to-finish data analysis software solution for next generation sequencing applications including DNA, Transcriptome, and Gene Regulation. Take advantage of our pre-installed analysis pipelines and workflows to perform analysis without ever typing a single line of code.
Analyze gene expression, alternative splicing, regulation, copy number, association studies, and more using our powerful, microarray workflows, and share your findings using information-rich visualizations suitable for publication. Visit our publication page to see how others have used our software in their studies.
Partek provides the only software able to integrate all your microarray and next generation sequencing data, including data from different applications, into a single, comprehensive study. Now you can easily compare and contrast data to find greater biological meaning and understanding.