Paradigm4 Brings Single Cell Community Closer to Custom-Made Cell Atlas
Paradigm4 just launched an integral component of the REVEAL: Single Cell - a Precision Cell AtlasTM, which enables researchers to generate their own cell atlas from single cell data. Now users can combine and save an unlimited number of samples from multiple datasets, which means a more optimized process of building collaborations, data reuse and regulatory filings.
A few decades ago it was impossible to analyze the multimodal data from millions of single cells, understand the tissue heterogeneity on the molecular level and perform these tasks within a reasonable amount of time. The substantial rate of single cell data generation requires efficient and user-friendly tools for its analysis, which would be robust, yet cost and time effective, and Paradigm4 is one of the players in the single cell analysis field who took this challenge.
Paradigm4 is a software company which provides digital platform solutions for the biological data treatment. In 2020 they launched a platform for single cell data analysis - REVEAL TM: Single Cell app, and since then it was actively used for single cell analysis in both academia and industry for individual data processing needs.
The team of Paradigm4 recently developed Precision Cell AtlasTM to help scientists handling heavy and complex single-cell data, while integrating the needed functions for data analysis of multiple datasets, such as statistical assessment of sample-to-sample variation. The important feature of the platform is that the analyzed data in the merged data sets for cell atlases can be easily tracked back to the original immutable log files recorded with REVEAL: Single Cell. Hence, it helps to skip unnecessary computational operations for the scientists and avoid some programming challenges.
Initially, REVEAL was an answer to the market need in the intuitive, use-case focused tool for computational data processing. So Paradigm4 created the apps, which would help users to navigate multimodal disease biology, handle more samples and data types, while getting the reproducible results.
Zachary Pitluk, Ph.D., VP of Life Sciences and Healthcare at Paradigm4, commented:
“Since its launch, REVEAL: SingleCell has been embraced by the single cell analysis community, with as many as 80 million cells in play in some installations. Current customer installations are supporting thousands of queries per day with the present implementation. Importantly, the addition of the Precision Cell Atlas functionality should increase the supportable queries and drive projects forward at a much faster rate than is currently available.”
At the same time, the single cell analysis software market is getting crowded and more competitive, developers try to include more analysis tools for heterogeneous single cell data and create whole new platforms. One of the platform providers for translational research - NanoString Technologies - announced the launch of AtoMx™ Spatial Informatics Portal (SIP) in Q4 2022. It is going to be a cloud computing suite that will streamline workflows to manage, analyze and share data from their cell imaging platforms. Similar to the already developed software for single cell omics analysis by 10X Genomics, AtoMx™ SIP is going to be a platform-specific software, meaning that it is compatible only with some platforms from which the data was obtained. So far, the Paradigm4’s apps solution keeps its place on the single cell software market, but the market landscape is rapidly changing with a wider implementation of cloud-based technologies and machine learning approaches.
Topics: AI & Digital
