Genedata Announces New Solution for CRISPR Data Management and Analysis

Genedata Selector for Precise Genome Editing

With Genedata Selector for Precision Genome Editing, we provide a highly valuable platform for a rapidly emerging field.

Genedata, a leading provider of advanced software solutions for R&D, today announced the release of Genedata Selector for Precise Genome Editing, an innovative solution for data management and analysis of CRISPR related genomic data. Genedata Selector for Precise Genome Editing targets research organizations that require an infrastructure solution that tracks experimental data throughout the genome editing process as well as streamlines and automates the data flows from target gene specification to guideRNA selection to genotype-phenotype validation. Combining sophisticated software with Genedata’s team of scientific consultants, Genedata Selector for Precise Genome Editing provides a full service solution for CRISPR data management and analysis.

Genome editing techniques like CRISPR are revolutionizing molecular biology and equipping scientists with the ability to precisely modify the DNA of essentially any organism. While advances in next-generation sequencing technology have made genome editing faster and easier, researchers still face challenges in efficiently managing and analyzing the experimental data. For example, currently available software tools address only individual steps of the entire experimental process and make the data analysis process very manual and prone to errors. Furthermore, the lack of integrated data management to track results along the experimental process make the performance of precise genome editing experiments in a GxP environment impossible. And finally, lack of data security can cause high risks for IP protection. These are just a few of the many challenges that Genedata Selector for Precise Genome Editing addresses.

Genedata Selector for Precise Genome Editing provides a fully integrated software system for the efficient analysis and management of all CRISPR related experimental data within an organization. Some key features include:

  • Genome-wide gRNA prediction with further off-target validation in other organisms (e.g. cloning hosts) to maximize the likelihood for a successful genome editing…

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