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In the agricultural sector, maximizing crop yield and improving quality are always required. Various factors, such as climate change and soil conditions, affect harvest yields, making it difficult to find optimal cultivation conditions. MODDE addresses these challenges using Design of Experiments (DoE). It efficiently analyzes various conditions, such as optimal fertilizer formulations, irrigation adjustments, and sunlight management, contributing to yield maximization. 【Application Scenarios】 - Optimization of fertilizer types and amounts - Adjustment of irrigation levels - Management of sunlight hours - Exploration of optimal breeding conditions in crop improvement 【Effects of Implementation】 - Increase in yield - Improvement in quality - Cost reduction - Data-driven decision making
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In the biotechnology industry, there is a constant demand for process efficiency and quality improvement. In particular, optimizing manufacturing processes is essential for enhancing product quality and productivity. Design of Experiments (DoE) is an effective tool for addressing these challenges. MODDE supports experimental design and optimization in research and development as well as manufacturing processes in the biotechnology field. 【Application Scenarios】 - Optimization of cell culture processes - Efficiency improvement of protein purification processes - Examination of conditions for fermentation processes 【Effects of Implementation】 - Reduction in the number of experiments - Streamlining of processes - Improvement in product quality
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In the field of biotechnology, sharing research data and collaborative research are essential. However, depending on how data is managed and shared, there is a risk of information leakage and potential delays in research progress. Labstep is a cloud-based electronic lab notebook (ELN) developed by researchers for researchers. It supports all research activities, including not only experimental records but also reagent management and the creation of experimental workflows. This promotes the secure sharing of research data and efficient collaborative research. 【Use Cases】 * Data sharing in collaborative research projects * Sharing and visualization of experimental data within the laboratory * Organizing data for the presentation of research results 【Benefits of Implementation】 * Enhanced security of research data * Improved research efficiency and time savings * Smoother collaboration and accelerated outcomes
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In drug discovery research, accurate recording and management of experimental data are essential for enhancing the efficiency and reliability of research. Particularly in drug discovery research, which deals with vast amounts of experimental data and complex workflows, errors in recording and delays in information sharing can lead to research delays and a decrease in the quality of outcomes. Labstep supports the efficient management of research activities by providing intuitive operations for experimental records, reagent management, and the creation of experimental workflows. 【Use Cases】 - Recording experimental data in drug discovery research - Managing compound libraries - Sharing experimental protocols 【Benefits of Implementation】 - Improved reliability of experimental data - Enhanced research efficiency - Smoother information sharing
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In the cosmetics industry, product quality evaluation is a crucial factor that influences consumer satisfaction. In particular, sensory evaluation is essential for assessing subjective elements such as product fragrance, texture, and usability. However, sensory evaluation data is complex and requires multifaceted analysis. SIMCA provides solutions to address these challenges by using multivariate analysis to thoroughly analyze sensory evaluation data, aiding in product development and quality management. 【Use Cases】 * Analysis of sensory evaluation data such as fragrance assessment, texture evaluation, and usability evaluation * Quality management of products and comparison with competing products * Consideration of optimal formulations in new product development 【Benefits of Implementation】 * Visualization and enhanced understanding of sensory evaluation data * Improvement of product quality and increase in customer satisfaction * Support for objective decision-making based on data
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In the chemical process industry, process optimization and quality control are crucial. Particularly when subtle changes in reaction conditions significantly affect product quality, data visualization and factor analysis are essential. SIMCA helps analyze complex data in an understandable way and identify areas for process improvement. 【Use Cases】 - Optimization of chemical reaction processes - Anomaly detection in quality control - Streamlining manufacturing processes 【Benefits of Implementation】 - Stabilization of processes and improvement in quality - Reduction of defective products - Increase in productivity
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In the food industry, foreign object contamination is a significant issue that not only undermines the quality and safety of products but also leads to a loss of trust in companies. Detecting foreign objects is crucial for protecting consumer health. SIMCA supports foreign object detection in food quality management using multivariate analysis. This enables rapid and accurate detection of foreign objects, thereby enhancing food safety. 【Use Cases】 - Risk assessment of foreign object contamination in food manufacturing lines - Quality evaluation of raw materials and identification of potential foreign object contamination - Anomaly detection in the manufacturing process 【Benefits of Implementation】 - Improved accuracy of foreign object detection - Increased efficiency in quality management - Enhanced food safety
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In the pharmaceutical industry, the stability of the manufacturing process and product quality assurance are essential. Even slight differences in raw materials or fluctuations in manufacturing conditions can significantly impact product quality. The multivariate analysis software SIMCA analyzes these complex data and supports problem-solving in quality management. SIMCA contributes to the efficiency of quality management by analyzing various data, including metabolomics data and mixture analysis data. 【Application Scenarios】 - Anomaly detection in the manufacturing process - Product quality evaluation - Raw material quality management - Quality comparison between lots 【Benefits of Implementation】 - Early detection of quality issues - Optimization of the manufacturing process - Reduction of quality management costs - Improvement of product quality
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KNIME Analytics Platform is an open-source software that allows you to design and execute advanced data analysis workflows without coding. It provides a one-stop solution for everything from data input, ETL, and preprocessing to building machine learning models, integrating AI, and visualizing results. It can be utilized to address various challenges in the manufacturing industry, such as enhancing quality control, reducing downtime through predictive maintenance, improving yield, and demand forecasting. At Infocom, we offer technical support services where our experienced engineers provide detailed assistance from guiding you on how to operate the software to building practical workflows. We also provide various training programs that systematically teach operations from beginner to advanced levels, and we distribute a patch that localizes part of the UI into Japanese for free. Even those without specialized knowledge can confidently start advanced data analysis, strongly supporting data-driven improvement activities and the promotion of digital transformation in manufacturing sites. It is available for free, so we encourage you to download it and experience the intuitive usability of KNIME. Information on operation methods and use cases is also available on our website.
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The Chenomx NMR Suite is a comprehensive platform for conducting "identification and quantification of metabolites," which is crucial for analyzing "safety and toxicity" and "mechanisms of biological states" in the metabolic effects within living organisms, based on NMR spectra from biological samples where various compounds such as blood and urine are intricately mixed. 【Features】 - Supports major NMR formats - Targeted profiling function (batch processing available) - Bucket integration function (batch processing available) - Equipped with a library of approximately 330 types of compounds (400MHz, 500MHz, 600MHz, 700MHz, 800MHz) * 197 types of compounds only at 400MHz - Access to a library of 12 types of simulated reference compounds, including low frequencies, and HMDB library - Unique library construction function 【Related Products】 - Chenomx Contract Services: Identification/quantification contract services for 1H-NMR data, available from 10 spectra - Chenomx BENCHTOP Pro: Software specialized for low-frequency simulated libraries (60MHz, 80MHz, 90MHz, 100MHz, 125MHz)
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PEAKS is software that enables comprehensive bottom-up proteome analysis, including de novo sequencing, database searches, and spectral library searches, using MS/MS data (DDA/DIA) obtained from tandem mass spectrometry. 【Features】 - Supports major MS formats (https://www.bioinfor.com/formats/) - Easy operation in workflow format - De novo sequencing/DeepNovo sequencing - Database search (protein/peptide identification) - Comprehensive analysis of post-translational modifications - Mutation/Variant search - Spectral library search (capable of creating libraries from both DDA and DIA data) - Quantitative analysis function (PEAKS Q option) - PRM/Hybrid-DIA support (PEAKS Q option) - Ion mobility data analysis function (PEAKS IM option) 【Related Services】 - PEAKS AB service: Contract service for amino acid sequence analysis of monoclonal/polyclonal antibodies.
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The multivariate process management analysis software SIMCA-online is a client/server system that enables immediate detection of deviations in processes and efficiency improvements through statistical process control (SPC) using multivariate techniques. Additionally, to comply with industry-leading standards, it has been developed in accordance with the CSV guidelines GAMP5 and has undergone extensive testing and validation. SIMCA-online is recognized by the European Medicines Agency (EMA) and the U.S. Food and Drug Administration (FDA) and is used for real-time release testing.
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MODDE – Design and Optimization of Experiments Quality, efficiency, consistency. These are the keys to project success. Design of Experiments (DoE) is the most effective method to achieve these. The experimental design and optimization software MODDE can be utilized to increase throughput and expand revenue. MODDE can be used not only for product and process optimization and quality control but also in research and development settings.
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AnalyzerPro XD is a data processing software for GC/MS and LC/MS that supports data formats from major MS manufacturers. It is widely used to enhance the efficiency of analytical tasks in research and development as well as manufacturing. 1. Reading major MS data 2. Component spectrum extraction through deconvolution 3. NIST format library search 4. Comprehensive non-target analysis 5. Creation and utilization of target libraries 6. Alignment of multiple samples 7. Visualization and feature component exploration through statistical and multivariate analysis 8. Data processing for 2D chromatogram MS and direct MS (optional)
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Proasis 4, developed by DesertSci in Australia, is a flexible database system that stores structural information on proteins and protein-ligand complexes. It integrates public data from the Protein Data Bank (PDB), internal data obtained from crystallographic analysis and molecular modeling, and allows interactive access through a web-based interface. Proasis 4 features a variety of search functions and includes various tools to assist in protein structure analysis and ligand design (such as ViewContacts, Scorpion, Profusion, FELIX, etc.). Proasis 4 has been developed by DesertSci based on years of collaborative research experience with major pharmaceutical companies in Europe and the United States, and it is a system designed to meet the diverse needs of crystallographers, modelers, and bench chemists. Infocom: Product introduction site https://www.infocom-science.jp/product/detail/proasis4/
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AILANI is an advanced semantic search engine that combines "search keywords," "ontology/taxonomy," and "LLM (Large Language Models)." Furthermore, as an enterprise solution, AILANI can integrate various resources into the search engine, including in-house documents, libraries from existing systems, experimental data, sequence information, clinical trial data, public databases, and news feeds. Additionally, it includes author and citation information from papers, making it useful for networking among researchers and identifying potential KOLs (Key Opinion Leaders).
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SIMCA is equipped with various algorithms and tools for omics data (such as GC/MS, LC/MS, NMR, RNA-seq) and mixture analysis data (such as MS, NMR, IR, NIR), providing excellent analytical capabilities and easy operation through a mouse for multivariate analysis. ● It includes Principal Component Analysis (PCA) for data overview analysis. Additionally, it allows for overview analysis combining different types of data (e.g., GC/MS and sensory evaluation data) (MOCA). ● It features the OPLS regression model, which is a superior version of PLS, enabling the construction of more accurate factor analyses and regression models. ● It includes the OPLS-DA discrimination model, which is a superior version of PLS-DA, clearly distinguishing between items that are difficult to differentiate using PCA or OPLS-DA, and suggesting candidate factors/markers. ● It incorporates the SIMCA method to create PCA-Class from existing data to classify unknown samples. Infocom: Product introduction site https://www.infocom-science.jp/product/detail/simca/
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ToxPlanet is an integrated search platform that encompasses toxicity and hazard information for chemical substances. It features an intuitive interface and covers information on over 110 million compounds from more than 1,300 data collections, over 700 regulatory and advisory lists, and more than 10 million literature references. By obtaining comprehensive toxicity and hazard information for chemical substances from a single search key, it reduces investigation time and workload in safety research and risk assessment tasks, while enhancing the quality of the investigation.
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QSAR Flex enables the prediction of complex toxicity using quantitative structure-activity relationships (QSAR) and read-across methods. In particular, the following models can be utilized to support the carcinogenicity assessment of nitrosamines: - Support for AI value evaluation based on CPCA - Support for AI value estimation through read-across - Prediction of nitrosamine generation from compounds and synthetic pathways Various methods for evaluating nitrosamines can be conducted solely with QSAR Flex.
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It is a type of "Quantitative Structure-Activity Relationship (QSAR)" software developed in collaboration between MultiCASE and the FDA/CDER, which predicts toxicity from the 2D structural information of compounds. CASE Ultra has two complementary types of (Q)SAR models: knowledge (rule)-based and statistical-based, and it is capable of complying with ICH M7. Additionally, it allows for the creation of new predictive models using proprietary data and the enhancement of existing predictive models. 【Features】 ■ Joint research and development with FDA/CDER ■ Alternative to cell tests and animal experiments ■ Provides analogs based on alert surrounding structural environments ■ Supports expert judgment ■ Lead across 【Predictable Endpoints】 - Mutagenicity - Genotoxicity - Carcinogenicity - Hepatotoxicity - Nephrotoxicity - Cardiotoxicity - Dermal and ocular toxicity - Reproductive and developmental toxicity - Acute toxicity - Ecotoxicity - Endocrine receptor binding and many more.
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"Labstep" is a user-friendly and flexible electronic lab notebook (ELN) that captures all research-related data and metadata in real-time. It provides the capture and analysis of structured data in a safe and collaborative environment, supporting the creation and protection of intellectual property by research and development labs. By utilizing an open API, it allows for digital connections with instruments, devices, and systems, enabling direct integration into experimental records. 【Features】 ■ Modern and easy to use ■ User-friendly and flexible utilization ■ Provides capture and analysis of structured data in a safe and collaborative environment ■ Supports the creation and protection of intellectual property by research and development labs ■ Allows for centralized management of all experimental notes, protocols, samples, inventory, devices, and order management.
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