Genedata, the leading provider of enterprise software solutions for biopharmaceutical R&D, today announced that Octapharma, one of the world’s leading manufacturers of therapeutic human proteins, has chosen Genedata Selector® as its central computational platform to streamline genomics-based cell line development and cell culture optimization workflows. Genedata Selector enables the efficient analysis of next-generation sequencing (NGS) data in the context of host cell line engineering and clone selection. In addition to a software license agreement, Genedata has entered into a long-term collaboration to provide bioinformatics consulting services to strengthen Octapharma’s innovation projects.
“As part of our innovation strategy, we have started to implement NGS-based workflows in combination with other state-of-the-art technologies, such as targeted locus amplification (TLA) and gene editing in bioprocess development and production,” said Tobias Stuwe, Ph.D., Head of Recombinant R&D at Octapharma. “The need to streamline and automate these highly complex and data-intensive experimental processes was the main reason behind our selection of Genedata Selector. The platform helps us shorten development cycles and increase efficiency.”
“Genedata Selector enables us to integrate a wide variety of complex data generated by novel experimental workflows so we can gain a holistic molecular understanding of production cells with the goal of developing high performing bioproduction processes,” commented Ruth Wagner, Ph.D., Group Manager of Cell Line Engineeringat Octapharma. “For example, using Genedata Selector we are now able to quickly detect unfavorable properties of a production cell line and engineer preferred properties by editing its genetic background.”
Genedata Selector provides the foundation for rational design of production cell lines, by delivering comprehensive gene annotation, predicting optimal CRISPR gene editing sites, and calculating all variations in genes of interest within proprietary host cell lines based on RNAseq data. The software platform also supports the automation of clone selection workflows, for example by including efficient data analysis workflows to check integration sites and detect mutations for the analysis of TLA-based experiments. On a more general level, Genedata Selector has been specifically designed to process and interpret huge amounts of complex NGS data in the context of rational cell line development with additional applications such as adventitious agent detection.
“We are excited to collaborate with Octapharma in supporting their innovative cell line development projects,” said Othmar Pfannes, Ph.D., CEO of Genedata. “Over the last few years Genedata has successfully established Genedata Selector as the leading digitalization platform for NGS-based workflows in biopharma R&D with a focus on maximizing our clients’ return on investment in NGS and other omics technologies.”
Headquartered in Lachen, Switzerland, Octapharma is one of the largest human protein manufacturers in the world, developing and producing human proteins from human plasma and human cell lines. Octapharma employs more than 10,000 people worldwide to support the treatment of patients in 118 countries with products across three therapeutic areas: Hematology, Immunotherapy, and Critical Care.
Octapharma has seven R&D sites and six state-of-the-art manufacturing facilities in Austria, France, Germany, Mexico and Sweden, with a combined capacity of approximately 8 million litres of plasma per annum. In addition, Octapharma operates more than 140 plasma donation centres across Europe and the US. For further information, please visit www.octapharma.com.
Genedata transforms data into intelligence with innovative software solutions and domain-specific consulting services that automate complex, large-scale experimental processes and enable organizations to maximize the ROI in their R&D, spanning early discovery all the way to the clinic. Founded in 1997, Genedata is headquartered in Switzerland with additional offices in Germany, Japan, Singapore, the UK, and the US.
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