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.
Partek genomic analysis software recently received its six thousandth citation in the June edition of Science Translational Medicine. To celebrate, Partek reached out to the authors of the paper that brought them to this milestone.
We recently caught up with researcher Victor Martinez, PhD of BC Cancer Agency and discussed his work with piRNAs using Partek Flow software which allowed him and his team to analyze one of the biggest cohort of sncRNAs available worldwide, in a time- and cost-effective manner.
I recently had dinner with an old friend, a scientist and former faculty member at a top university and now at a biotechnology entrepreneurship. On our way there he challenged me by verbalizing his disappointment in modern biology. In his opinion, there has been no significant discovery in biology since the 60s and the deciphering of the genetic code.
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.