次世代シーケンス（NGS）解析の革新

Effective Cell Line Development

Streamline the analysis and interpretation of NGS data for cell line development applications, including confirming clone identity, refining host cell lines, and verifying product integrity, stability, and purity. 

Genedata supports comprehensive annotation of proprietary genomes for public domain data integration, molecular and signaling pathways, splice variants, microRNAs, mutations, and CNVs. Assess cell line heterogeneity and ensure desired attributes using Single-cell RNA Sequencing (scRNA-seq) with sophisticated visualizations and automated reports. 

The platform supports you to predict quality-controlled guide RNAs for CRISPR-based targeted engineering, ensuring a secure environment with reduced IP risk and providing valuable information such as gRNA specificity scores and high-quality primer sequences.

Bioprocess Optimization

Accelerate your analysis and interpretation of omics data for bioprocess development by streamlining data processing workflows and enabling efficient decision-making to bring biotherapeutics to market faster. Visualize omics data over different timepoints or experimental conditions, and monitor pathways to identify potential engineering targets such as bottlenecks in cellular machinery. 

Genedata identifies cell variants throughout bioprocess development using DNA-, RNA-seq, or mutation profiling to rapidly determine product sequence integrity and accelerate decisions from small to large scale processes. It therefore detects unstable clones early to prevent the development of heterogeneous cell banks and undesired products, identifying critical mutations or variations in cell populations with single-cell RNA sequencing.

Cell and Gene Therapy Development

Facilitate the analysis and interpretation of NGS data for cell and gene therapy development, focusing on Critical Quality Attribute (CQA) assessment to confirm identity, biosafety, and potency, accelerating the delivery of safe and effective therapies. 
Genedata automates and standardize NGS-based cell and gene therapy assays with out-of-the-box support for safety assays, sequence characterization, and potency assessment. Detect adventitious agents like mycoplasma throughout the development process to ensure mycoplasma-free cell and gene therapies. Streamline decision-making with single-cell RNA sequencing data analyses, using informative and interactive data displays.

Industrial Biotechnology

Do you want to leverage NGS-based production strain development and process optimization to collect genotype-phenotype data and phenotypically characterize a large number of strains? Genedata tracks data and decisions to provide a molecular history of the production strain, simplifying reporting to regulatory agencies and accelerating time-to-market with workflows for strain stability testing and safety assessment.

By supporting WGS metagenomics annotation to analyze metagenome and meta-transcriptome pathways, and manage operational taxonomic units (OTUs) for new signatures, enabling lead- or indicator-strain identification and process optimization, Genedata enables you to go beyond 16S RNA-based taxonomy screening to characterize and reconstruct molecular mechanisms on a microbial community level, and ensures genomic data mining for developing new antibiotics and antifungals for individualized treatment and the prevention of resistance through biofilm, microbiome sequencing, and secondary metabolite screening.

Agricultural Science

Genedata supports crop improvement and plant breeding initiatives by leveraging NGS and other omics data for mutation analysis, metabolic pathway analysis, and genotype-phenotype relationship interpretation. Enable your cross-omics data processing and analysis of genotype-phenotype relationships for numerous crop and vegetable genome sequences, facilitating comparative genomics of sequence, mutation, protein function, regulation, and pathway activity levels of plants, microbes, and microbiomes. Link central genome management for plants and germplasm mutation profiling with sequence information of breeding markers and phenotype data for marker-assisted breeding and gene editing.

The platform facilitates whole-genome comparisons from mutations to gene functions and pathways to identify potential targets in crop protection, supporting compound-specific mode of action (MoA) analysis and screening of all genomes to predict efficacy for other strains and organisms.