Alternatives to Eidogen-Sertanty Target Informatics Platform (TIP)

Correlation Engine, an interactive omics database, places private omics data into a biological context by combining it with highly curated publicly available data. Correlation Engine, one of the largest databases in the world for life science research, provides researchers with unprecedented access and insight to a vast number of high-quality whole genome analyses. The knowledgebase allows for novel discoveries through the interrogation of billions of datapoints derived from standard analyses of whole genome studies. A suite of applications for determining biological context, a constantly growing library of curated datasets, and support of multiple species and multi-omic data sets. Use a simple graphical interface to leverage guided workflows and APIs. Accelerate the journey from omic to decision-making and gain access to more than 25,000 multi-omics studies that have been reanalyzed (from over 250.000 signatures).

Store, archive, and manage multi-omic data sets. Illumina Connected Analytics provides a secure platform for genomic data to operationalize informatics, and drive scientific insight. CWL and Nextflow allow you to easily import, build and edit workflows. Leverage DRAGEN bioinformatics pipelines. Organize your data in a safe workspace and share it with the world in a compliant way. Our platform allows you to keep your data in the cloud. Visualize and interpret data using a flexible analysis tool, such as JupyterLab Notebooks. Data warehouses allow you to aggregate, query and analyze sample data and population data. Scale analysis operations through the creation, validation, automation, and deployment of informatics pipelines. Reduce the time needed to analyze genomic data when quick results are a key factor. Enable comprehensive profiling for the identification of novel drug targets and biomarkers of drug response. Data can be transferred seamlessly from Illumina sequencing platforms.

Pluto was founded in 2021 by the Wyss Institute of Harvard University. It has been a trusted partner for many life sciences organizations across the country, from biotech start-ups and public biopharma companies. Our cloud-based platform allows scientists to manage all their data, run bioinformatics analysis, and create interactive visualizations that are published-quality. The platform is being used for a variety of biological applications. These include preclinical and translational science research, cell and gene therapies and drug discovery and development.

Emedgene streamlines tertiary analyses for germline research and rare disease genomics. Emedgene was designed to speed up the time and certainty of user-defined variant interpretations, prioritizations, curations, and research reports. Automate your tertiary analyses with explainable AI and automation that supports genomes, exomes and virtual panels. Unify your NGS instruments and your IT systems in order to simplify and secure the entire workflow. With the latest knowledge graph options, curation abilities, and a team to support you, you can confidently keep up with evolving science, technologies, and demand. Automated workflows and explainable AI (XAI), which can be used to increase throughput without adding more staff, are a great way to do this. Implement a high-throughput WGS,WES, virtual panel or targeted panel workflow integrated into your lab's ecosystem.

Partek bioinformatics software provides powerful visualization and statistical tools in an intuitive interface. Researchers of all levels can explore genomic data faster and more efficiently than ever before. We turn data into discovery®. Our intuitive interface makes it easy for scientists to perform sophisticated array and NGS analysis using pre-installed workflows. Public and custom statistical algorithms can be used together to quickly and accurately distill NGS data into biological insights. Genome browser, Venn diagrams and heat maps, as well as other interactive visualizations, show the biology of your next generation sequencing and array data in vivid color. Our Ph.D. scientists can be reached at any time to assist with your NGS analysis. This product is specifically designed for next-generation sequencing applications that require high-level computing. It offers flexible installation and management options.

OmicsBox, a leading bioinformatics tool, offers end-toend data analysis for genomes, transcriptomes and metagenomes. It also provides genetic variation studies. The application, which is used by leading private and public research institutes worldwide, allows researchers to process large and complicated data sets and streamline their analytical process. It is designed to be efficient, user-friendly and equipped with powerful tools to extract biological insight from omics data. The software is divided into modules, each of which has a set of tools and features designed to perform specific types of analyses, such as de novo genome assemblies, genetic variations analysis, differential expression analyses, taxonomic classifications, and taxonomic classes of microbiome, including the interpretation of results and rich visualizations. The functional analysis module uses the popular Blast2GO annotating methodology, making OmicsBox a great tool for non-model organisms research.

Metabolon offers the largest Level 1 library available in the metabolomics field. Over 5,400 entries are contained in our proprietary library, which has been built over 20 years. The majority of entries are Level 1, accounting for approximately 85% of our library (4,600 entries). However, some are level 2 (approximately 15 % of the entries), due to a lack commercial standards to qualify for Level 1. Metabolon's unmatched library breadth, industry-leading annotation confidence level and unmatched library depth enable us to provide our clients with accurate, highly actionable insight for their scientific or clinical inquiries. Metabolomics is applicable to a wide variety of research, including soil health, food nutrition, preclinical research and clinical trials. Whether you are looking for trends within a group, or modifying an individual's treatment plan, metabolomics will help you find the answers you need.

The biopharmaceutical market is complex today. There are growing demands for better specificity and safety, new treatment classes, and more complex mechanisms of disease. To keep up with this complexity, we need to have a better understanding of therapeutic behavior. Simulation and modeling provide unique opportunities to explore biological and physical processes down to the atomic levels. This can be used to guide physical experimentation and accelerate the discovery and development process. BIOVIA Discovery Studio brings together more than 30 years of peer reviewed research and world-class in-silico techniques like molecular mechanics and free energy calculations. It also allows for biotherapeutics developmentability and other related topics into one environment. It gives researchers a complete toolkit to explore the nuances in protein chemistry and to catalyze the discovery of small and big molecule therapeutics, from Target ID to Lead Optimizement.

HyperProtein, Hypercube, Inc.'s latest product, focuses on the computational science of protein sequences. The product allows you to analyze one-dimensional sequences of protein as well as subsequent three-dimensional structures. The product's most important feature is the relationship between structure and sequence. HyperProtein is not like other software programs that can perform specific functions, such as sequence alignment or protein sequence sequence, but it does combine a variety of Bioinformatics tools and Molecular Modeling tools that are related to the science that begins with a protein sequence.

Legacy R&D software can be a drain on scientific potential. It slows down R&D progress and scatters data between silos. Benchling is the industry's most trusted life sciences R&D cloud. All the tools you need to accelerate, measure, and forecast R&D, from discovery through bioprocessing, all in one place. A suite of seven applications that are natively unified and can be used to accelerate R&D at all levels. Open integration, codeless configuration, and dashboards that are tailored to your needs. For continued success, deep life science R&D and consulting expertise are essential. Benchling is a unified R&D platform that allows you to spend less time searching for data and more time working together in order to advance your research. Scientists, managers, executives, and researchers can optimize R&D output by having complete visibility into the experimental context, program performance, resource utilization, and program performance.

We are a biotechnology company in clinical stage. We decode biology by integrating technological innovations across biology and chemistry to industrialize drug discovery. CRISPR genome editing and synthetic Biology allow for greater control over biology. Advanced robotics allows for reliable automation of complex laboratory research on an unprecedented scale. Neural network architectures allow for iterative analysis and inference from large, complex, in-house data sets. Cloud solutions increase the flexibility of high-performance computation. To build a next-generation biopharmaceutical business, we are using new technology to create virtuous learning cycles around datasets. A synchronized combination hardware, software, and data that is used to industrialize drug discovery. Redefining the traditional drug discovery process. One of the most extensive, broadest, and deepest pipelines in any technology-enabled drug company.

BioNeMo, an AI-powered cloud service for drug discovery and framework, is built on NVIDIA NeMo Megatron. It is used to train and deploy large biomolecular Transformer AI models at supercomputing scale. The service provides pre-trained large language models (LLMs), native support for common file types for proteins, DNA, and chemistry, as well as data loaders for SMILES molecular structures and FASTA amino acid and nucleotide sequencings. You can also download the BioNeMo framework to run on your own infrastructure. ESM-1, which is based on Meta AI’s state-of the-art ESM-1b and ProtT5 respectively, are transformer-based protein-language models that can be used for learning embeddings for tasks such as property prediction and protein structure. BioNeMo will offer OpenFold, a deep-learning model for 3D structure prediction and novel protein sequences.

Stop messing around with broken informatics tools and cloud infrastructure. Get started today on uncovering biological insights. Scientists are often limited by the fragmentation of tools across biology and bioinformatics teams. To help teams accelerate their R&D, we created a harmonized platform for bioinformatics between the cloud and the wet lab. Import raw data from your cloud service provider, your team's instruments, or your cloud. Create and deploy custom bioinformatics workflows using any language. Stop wasting time tinkering with your infrastructure. You can easily run any workflow and keep track of every analysis. Interactive visualizations of NGS data ready-to-go with point-and click plots Latch integrates with your AWS S3. You can access hundreds of terabytes in organic filesystems you are familiar with. Create bioinformatics workflows, and dynamically create no-code interfaces with Python with tunable storage and compute.

Genedata Biologics®, streamlines the discovery of biotherapeutics. This includes bispecifics and ADCs as well as TCRs, CARs-Ts, CARs-Ts, CARs, and AAVs. It integrates all discovery workflows, making it the most popular platform in the industry. This allows you to focus on innovation and is the most widely used. A first-in-class platform that digitalizes biotherapeutic discovery accelerates research. The platform simplifies complex R&D processes by allowing for the creation, tracking, testing, and evaluation of novel biotherapeutics drugs. It can work with any format: antibodies, bi- and multi-specifics as well as ADCs, novel scaffolds, therapeutic proteins, and engineered therapeutic cell line such CAR-T cells and TCRs. Genedata Biologics acts as a central data backbone that integrates all R&D processes. This includes library design, immunizations, selections, panning, molecular Biology, screening, protein engineering and expression, as well as candidate development and manufacturability assessment.

VeraChem LLC was established in 2000 to advance computer-aided drug discovery. These methods are implemented in high-performance software and provide comprehensive support to users. This is a key strategy of VeraChem LLC for product development. Current VeraChem software capabilities include host-guest and protein-ligand binding affinity prediction, fast calculation and computation of partial atomic charges for druglike compounds, computation and force of energies and forces using all the most commonly used empirical force field, automatic generation and generation of alternate resonance forms for drug-like substances, conformational search using the powerful Tork algorithm and automatic detection and removal of topological and 3D-molecular symmetries. VeraChem's software packages were built from a modular code base.

LiveDesign is an enterprise information platform that allows teams to collaborate, design, experiment, analyze, track, and report in one central platform. You can capture ideas and model data. Create and store virtual compounds in a central database. Use advanced models to prioritize new designs. Integrate biological data and model results from federated corporate databases. Use sophisticated cheminformatics for faster analysis and development of compounds. Advanced physics-based methods are combined with machine learning techniques to quickly improve prediction accuracy. Remote team members can collaborate in real-time. You can collaborate with remote team members to share ideas, test, revise, or advance chemical series without losing sight of your work.

Swiss-PdbViewer, also known as DeepView, is an application that allows you to analyze multiple proteins simultaneously. To compare active sites and other parts, the proteins can be superimposed. The intuitive interface and graphic make it easy to find information about amino acid mutations, Hbonds, angles and distances between atoms. Nicolas Guex has been developing Swiss-PdbViewer (aka DeepView), since 1994. Swiss-PdbViewer was originally tightly connected to SWISS-MODEL (an automated homology modeling server) that was developed at the Structural Bioinformatics Group of the Biozentrum in Basel. The SWISS-MODEL interface has evolved to the point that advanced modeling can now be done directly. It is no longer possible to maintain a direct interface with SwissPdbViewer.

Advanced molecular modeling can transform drug discovery and materials research. Our physics-based computational platform combines differentiated solutions for predictive modelling, data analytics, collaboration, and collaboration to allow rapid exploration of chemical space. Our platform is used by industry leaders around the world for drug discovery and materials science in fields such as aerospace, energy, semiconductors and electronics displays. The platform powers our drug discovery efforts, from target identification through hit discovery to lead optimization. It also powers our research collaborations to create novel medicines for critical public healthcare needs. Our team includes more than 150 Ph.D. scientists. This allows us to invest heavily in R&D.

Scitara DLX™ provides a fast connectivity infrastructure for any instrument used in life science laboratories. It is fully compliant and auditable, and can be accessed from any cloud-based platform. Scitara™, a universal digital data network, connects all instruments, resources, apps, and software within the laboratory. The cloud-based platform, which is fully auditable, connects all data sources in the lab, allowing data to flow freely across multiple endpoints. Scientists can now spend their time on scientific research and not waste it trying to solve data problems. DLX corrects and curates flight data to support the creation of precise, structured data models that feed AI/ML systems. This supports a successful digital transformation strategy for the pharma and biopharma sectors. The ability to access scientific data allows for faster decision-making and drug discovery, which helps bring drugs to market quicker.

The QIAGEN CLC Geneomics Workbench is a powerful tool that works for all workflows. It is easy to overcome data analysis challenges with cutting-edge technology, unique features and algorithms that are widely used by scientists in industry and academia. Bioinformatics software solutions that are user-friendly allow for comprehensive analysis and interpretation of your NGS data. This includes de novo assembly and transcriptome assembly, resequencing analysis, WES and targeted panel support, variant calling, variant calling, RNA–seq, ChIP–seq and DNA methylation analysis (bisulfite sequence analysis). You can analyze your RNA-seq (miRNA, smallRNA) and smallRNA (lncRNA), data using easy-to-use transcriptomics workflows that allow for differential expression analysis at both gene and transcript levels. QIAGEN CLC Genomics Workbench was designed to support a wide variety of NGS bioinformatics programs.

Universal Analysis Software (UAS), a platform that analyzes and manages forensic genomic data, simplifies complex bioinformatics. The UAS is an all-inclusive solution that includes analysis modules for all ForenSeq workflows, including ForenSeq MainstAY and ForenSeq Kintelligence. It also contains ForenSeq DNA Signature prep, ForenSeq DNA Whole Genome, ForenSeq Control Region, ForenSeq mtDNA Whole Genome and ForenSeq UAS Control Region. UAS quickly generates FASTQ files and performs alignment. It also calls forensically relevant variants using NGS data. The extensive testing behind UAS's variant calls ensures that they are reliable and deliver accurate results in a user-friendly package that does not require per-seat licenses. UAS is a tool for forensic analysts. It streamlines the handling of base-bybase sequence information. It also includes a variety of features that allow you to perform everything from a quick review of everyday STR profiles to detailed analysis on the most difficult samples.

AutoDock is a set of automated docking tools. It predicts how small molecules, such sub- or drug candidates, will bind to a receptor with a known 3D structure. It has been improved over the years to add new functionalities and multiple engines were developed. AutoDock 4 is the current version, and AutoDock Vina is the latest. AutoDock-GPU is an accelerated version that runs hundreds of times faster than the original single CPU docking code. AutoDock 4 is actually composed of two main programs. Autodock docks the ligand to a list of grids that describe the target protein. Autogrid pre-calculates the grids. The atomic affinity grids can also be visualized. This can be used to help organic synthetic chemists create better binders.

DNAnexus Apollo™, accelerates precision drug discovery through collaboration that draws critical insights from omics data. Precision drug discovery requires the collection and analysis of large volumes of clinical and omics data. These data sets are extremely rich, but many legacy and home-grown informatics tools cannot handle their complexity and size. Silos, insufficient collaboration tools, and complex regulatory and security requirements can all hinder precision medicine programs. DNAnexus Apollo™, which supports precision drug discovery programs, empowers scientists and clinicians to analyze and explore omics and clinical data in a single environment built on a robust and scalable cloud platform. Apollo allows them to share data, tools and analyses securely with peers and colleagues from all over the world, regardless of whether they are on another floor or another continent.

Use AI to accelerate the journey from bench-research and laboratory insights to life-changing therapies. Reduce your reading time to minutes and gain up to 90% more research productivity. With a high-precision and high-accuracy research, you can cut through the noise to navigate the ever-growing amount of scientific literature. Save time, reduce bias, and increase the odds of discovering novel things. Explore disease biology in depth and discover advanced targets. Causaly’s high-precision graph of knowledge consolidates evidence from millions publications, allowing for unbiased, deep scientific exploration. You can navigate cause-and effect relationships in biology without being an expert. Discover hidden connections by viewing all scientific documents. Causaly’s powerful AI machine is able to read millions of published biomedical publications in order to support better research and decision-making.

AIDDISON™, a drug discovery software, combines the power and efficiency of artificial intelligence (AI), computer-aided design (CADD), and machine learning (ML) to provide a valuable toolkit that can be used for medicinal chemistry. It is a unified platform that integrates all aspects of virtual screening, including ligand-based design and structure-based design. It also supports methods for in silico lead optimization and discovery.

Rare diseases are often poorly understood and only a small amount of information is available to support drug discovery programs. Healnet, an AI platform that analyzes millions of data points related to drug and disease, helps overcome these challenges. It identifies novel connections that could lead to new treatment options. We can simultaneously run multiple stages at scale by applying frontier technologies throughout the discovery and development process. It's a simple model that can be used by almost all pharmaceutical companies. One disease, one target and one drug. The next generation in drug discovery is AI-powered and parallel. The key three paradigms of drug discovery are combined.

Predict absorption distribution metabolism and excretion properties from chemical structure. This collection of high-quality calculations for pharmacokinetic properties can be used to support high-throughput screening of libraries. It also provides insight into pharmacological effects and can help ensure that products are safe for humans.

Our AI engine transforms drug discovery. Our discoveries help create better medicines faster. Our AI-enabled discovery portfolio is co-owned and owned by prominent investors. Atomwise developed a machine-learning-based discovery engine that combines the power of convolutional neural networks with massive chemical libraries to discover new small-molecule medicines. People are the key to redefining drug discovery using AI. We are committed to creating the best AI platform possible and using it to transform small-molecule drug discovery. To help drug developers achieve their goals, we have to tackle the most difficult and seemingly impossible targets. We also need to streamline the drug discovery process in order to make it more efficient. The ability to screen trillions of compounds in silica increases the chance of success. Demonstrates exceptional model accuracy, surpassing the challenge of false negatives.

CDD Vault allows you to intuitively organize chemical structures, biological study data, as well as collaborate with external or internal partners via a simple web interface. Start a free trial to see how easy it can be to manage drug discovery data. Tailored for You Affordable Scales with your project team Activity & Registration * Electronic Lab Notebook * Visualization * Inventory * APIs

These intricate, complex machines are proteins. They are the building blocks of all biological processes, not only in your body, but in every living being. They are the building blocks of all life. There are currently around 100 million distinct proteins. Many more are discovered every year. Each protein has a unique 3D shape, which determines how it functions and what it does. It is expensive and time-consuming to determine the exact structure of each protein. This means that we only have a small number of proteins in our database. This gap is rapidly growing and we need to be able to predict the structure of millions unknown proteins. This could help us not only tackle disease but also help us find new medicines more quickly. It may also help us unlock the mysteries of life.

Global biopharmaceutical drug patents and generic entry business intelligence. Anticipate future budget needs and proactively find generic sources. Examine past successes of patent challengers to identify research paths for competitors. Inform portfolio management decisions on future drug development. Predict brand drug patent expiration, identify generic supplier, and prevent overstocking of branded drugs. Get formulation and manufacturing information. Identify final formulators, repackagers and relabelled.

Clara's domain specific tools, AI pretrained models, accelerated applications, and accelerated AI applications are enabling AI advances in many fields, including medical device, imaging, drug discovery and genomics. Holoscan allows you to explore the entire pipeline of medical device deployment and development. With the NVIDIA IGX Developer Kits, you can build containerized AI apps using the Holoscan SDK. The NVIDIA IGX SDK includes pre-trained AI model, healthcare-specific acceleration libraries and reference applications for medical devices.

The process of bringing a new drug to market, from the initial step to the final market introduction can be time-consuming, expensive, and highly regulated. It can take up to a decade. Final success depends on early access to accurate analytical results that are fast enough to make the right decisions during development and minimize late attrition. Today's drug development relies heavily on a rational approach. Typically, identifying the biological target is the first step. To identify the most promising candidates, it is necessary to have a deep understanding about their properties. Finding the most promising lead molecules can be a daunting task once a biological target is established. Lead discovery is typically the identification of potential drug candidates, either small organic molecules or biologic assembly with therapeutic potential.

A series of carefully planned experiments can help you discover biological biomarkers, uncover disease mechanisms, find new drugs, or identify protein levels changes. It's easy to unlock the power of MS/Proteomics. This allows you to focus on the biological complexity and get closer to the moment for discovery. Our automated, repeatable workflow makes it easier to start experiments and reduce turnaround times. This gives you the flexibility and control to make decisions and act on them immediately. Our proteomics data processing workflow allows you to concentrate on biological insights and human to human collaboration. It is built to scale repeatedly. We have made repetitive and heavy processing easy to use the cloud, making it a seamless and enjoyable experience. Intelligent Proteomics seamlessly integrates complex moving parts to allow larger experiments to be processed, analyzed, and reported with ease.

Site-Identification by Ligand Competitive Saturation generates 3D maps (FragMaps), showing interaction patterns for chemical functional group with your target molecule. Site-Identification through Ligand Competitive Saturation generates 3D maps, (FragMaps), of interaction patterns for chemical functions groups with your target molecule. SILCS reveals the intricacies and provides tools to optimize ligand scaffolds through qualitative and quantitative binding pocket insights. This allows for faster and more effective drug design. SILCS employs multiple small molecule probes that have different functional groups and explicit solvent modeling to perform protein target mapping. Visualize positive interactions with the target macromolecule. Get insights to design better binding agents with the best functional groups.

Our reputation as thought leaders in the areas of ADMET property prediction, physiologically-based pharmacokinetics (PBPK) modeling, pharmacometrics, and quantitative systems pharmacology/toxicology is earned through the success our clients have found through their relationship with us. With over 20 years of experience, we have the ability to translate science into software that is easy to use. We also provide expert consulting support for drug discovery, clinical research, and regulatory submissions.

Polly allows you to harness the power of biomedical information. The Polly Platform allows you to scale batch jobs, workflows and visualization applications. Polly supports resource pooling, optimizes resource allocation based upon your usage requirements, and makes use of spot instances when possible. This results in optimization, efficiency, quicker response time, and lower costs for resources. Access a dashboard that allows you to monitor and track resource usage and costs in real-time. This will allow you to reduce overheads when resource management is done by your IT team. Polly's infrastructure is built around version control. Polly uses a combination dockers and interactive notebooks to ensure version control for your analyses and workflows. We have created a mechanism that allows data, code, and the environment to co-exist. This, along with cloud data storage and the ability for users to share projects, ensures reproducibility in every analysis.

Kanteron Platform ingested digital pathology slides, medical images, and patient data from modalities and sequencers. It then provided a complete data toolkit for all hospital network teams. Precision Medicine at the point-of-care: Pharmacogenomics is used to prevent adverse medication events. It also incorporates data sources that have drug-gene interactions that were not previously available in easily accessible formats (e.g. Tables in a PDF document) and implementing the major Pharmacogenomic Databases (like PharmGKB or DGIdb, OpenTargets ...). This allows the user to refine their query to specific gene families, types, interactions, etc. Flexible AI allows you to choose the data set that is most appropriate for your use case and then apply it to your relevant medical images.

Artificial Intelligence and RNA sequencing (RNA–seq data) are both a necessity and a way to develop therapeutics that target splicing mistakes. Machine learning allows us to quickly identify new splicing mistakes and design therapeutic compounds to correct them. SpliceCore, our AI platform for RNA therapeutics research, is what we call SpliceCore. This technology platform was specifically designed for the analysis and interpretation of RNA sequencing data. It can identify, validate and test hypothetical drug targets quicker than traditional methods. Our proprietary database of over 5 million potential RNA-splicing errors is the heart of SpliceCore. It is the world's largest database of splicing mistakes and is used to test all RNA sequencing data that is submitted for analysis. Scalable cloud computing allows us to process large amounts of RNA sequencing data efficiently at a higher speed and lower cost, thereby exponentially accelerating therapeutic innovation.

Makya is a user-friendly SaaS-based platform for AI-driven drug design focusing on Multi-Parametric Optimization. It allows the design of novel compounds that are easy to make in accordance with a multiobjective blueprint at unprecedented speeds, performance and diversity. Makya has multiple generative algorithms that cover different use cases, from hit discovery to lead optimizing: fine-tuning to find optimal solutions in your chemical space according to your project blueprint; novelty to find new ideas of high novelty for rescaffolding/hit discoveries; forward to design a focused collection of compounds easily accessible using commercial starting materials. The new Makya 3D Module enhances the user-experience and scientific utility of Makya. Makya 3D offers a wide range of 3D modeling capabilities in both ligand and structure-based pipelines. You can now use these 3D scores to guide generation natively within Makya.

Amazon Neptune is a fully managed graph database service that allows you to quickly and reliably build applications that can work with highly connected data sets. Amazon Neptune's core is a purpose-built graph database engine that can store billions of relationships and query the graph with only milliseconds latency. Amazon Neptune supports the popular graph models Property Graph, W3C's RDF, as well as their respective query languages Apache TinkerPop Gremlin, SPARQL. This allows you to quickly build queries that efficiently navigate large datasets. Neptune supports graph use cases like recommendation engines, fraud detection and knowledge graphs. It also powers network security and drug discovery.

BC platforms uses the latest science, unique technology capabilities and strategic partnerships to accomplish our mission of revolutionizing drug discovery, personalizing care, and transforming medicine. Modular, flexible platform that integrates healthcare data. Open analytics framework seamlessly combines the most innovative methods, technology developments and analytics in one platform. Superior security: ISO 27001 certified and GDPR and HIPAA compliant. A complete product portfolio allows modern healthcare systems to fully embrace personalized medicine. Scalable deployments allow for a robust start and large-scale healthcare operation. Our unique toolbox enables faster translation of research insights into clinical practice. Our unique toolbox helps reduce risk, increase your pipeline value, and advance enterprise data strategy. We remove the barriers to data access and enable rapid insight generation.

To drive precision medicine programs that work, pharmaceutical companies require comprehensive genomic information. However, decisions are often made with only 10% of the data available. Genomenon provides 100% of the data. ProdigyTM Patient Landscapes are a cost-effective and efficient natural history research solution for pharmaceuticals. They enhance insights from retrospective and prospective health data to support the development rare disease therapies. Genomenon uses an AI-driven approach to deliver a thorough and expert assessment of all patients in the medical literature in a fraction time. Get a complete overview of every genomic biomarker in the medical literature. Every scientific assertion is supported with empirical evidence from medical literature. Identify all genetic drivers and determine which variants are pathogenic according ACMG clinical standards.

InSilicoTrials.com, a web-based platform that allows users to create and simulate computational models and simulations. There are many easy-to-use tools in silico. The platform is primarily for users in the medical device and pharmaceutical industries. In silico tools for medical devices allow computational testing in different biomedical areas such as radiology, orthopedics, and cardiovascular during product development, validation, and design. The platform offers access to in-silico tools for the pharmaceutical industry, which can be used at all stages of drug discovery and development. It also covers a variety of therapeutic areas. The only cloud-platform built on crowdscience makes it easy to access validated models and reduce your R&D expenses. There is a growing list of models that can be used on a pay-per-use basis.

NoviSight 3D Cell Analysis Software advances your discovery by providing statistical information for spheroids, and other 3D objects in microplate based experiments. It allows you to quantify cell activity in three dimensions, capture rare events more easily, increase detection sensitivity, and obtain accurate cell counts. NoviSight software has a simple user interface that allows you to perform analysis, recognition, and statistical analyses. NoviSight software's True 3D technology allows you to easily check the morphology and size of your samples. To speed up your research, measure a variety of cell nuclei parameters such as volume and sphericity. You can also analyze 3D cell models that are physiologically relevant to your work. The software can be used to analyze objects of interest and provide spatiotemporal and morphological information in 3D space. You can detect objects from whole structures to subcellular details and analyze changes in spheroids.

The XetaBase platform is unique in that it simplifies tertiary analyses by aggregating, indexing and enriching secondary genome data. This allows for a continual reinterpretation of the data to unlock clinical and research insights. XetaBase enables the rapid management of genomic data and its cost-effective use in the laboratory and clinic. XetaBase is a genomic-scale platform. The greater the volume and the complexity, the better the insights and outcomes. XetaBase, a genomic-native platform, is built on the OpenCB open-source software platform. It meets the demands of genomic medicine for speed, scale, and reinterpretation. Zetta Genomics provides genomic data management that is fit for the precision-medicine age. XetaBase offers a novel solution for the challenges of genomic information. It replaces outdated flat file approaches and brings meaningful and actionable genome data to the lab and clinic. XetaBase allows for continual reinterpretation and scales seamlessly as databases expand to include genome sequences.

adWATCH – AE assists pharmaceutical companies to report adverse events that may occur during clinical trials. adWATCH – AE provides a quick and efficient way for a reporter at a clinic or hospital to generate and manage Adverse Event Reports (AERs), and report to regulatory agencies and government agencies. A negative or dangerous effect is one that a patient experiences due to the use of drugs or medical devices. Adverse event reporting involves the tracking of all medical complaint cases. This allows for the generation of MedWatch reports, CIOMS and additional reports for management. adWATCH – AE allows researchers, physician-investigators, Contract Research Organizations, clinical trial specialists, and other healthcare professionals to create and file AERs in FDA mandated MedWatch or CIOMS format.

StarDrop™, a comprehensive suite of integrated software, delivers the best in silico technology within a highly visual interface. StarDrop™, which allows seamless flow between the latest data, predictive modeling, and decision-making regarding the next round or synthesis, improves the speed, efficiency and productivity of the discovery process. A balance of different properties is essential for successful compounds. StarDrop™, which guides you through the multi-parameter optimization challenge, helps you target compounds with the highest chance of success. It also saves you time and resources by allowing you to synthesize fewer compounds and test them less often.

Illumina DRAGEN Secondary Analysis is a comprehensive and accurate analysis of next-generation sequence data. Machine learning and graph reference genome drive unprecedented accuracy. Ultra-efficient workflow. Can process a whole 34x human genome in under 30 minutes using DRAGEN server version 4. Reduces FASTQ files up to 5x, resulting in an ultra-efficient workflow. Analyzes data from next-generation sequencing (NGS), including whole genomes, transcriptomes, methylomes and exomes. Available on the platform of your choice and scalable according to needs. DRAGEN analysis is the most accurate for germline and somatic mutation calling, as demonstrated by precisionFDA's industry challenges. DRAGEN analysis allows labs of any size and discipline to do more with genomic data. DRAGEN analysis is based on highly reconfigurable FPGA technology to provide hardware-accelerated implementations for genomic analysis algorithms.

ChemDraw®, solutions have been able to provide powerful capabilities and integrations that allow you to quickly transform ideas and drawings into publications you are proud of. ChemOffice+ Cloud is a chemistry communication suite that transforms chemical drawings into chemical knowledge. It facilitates the management, reporting, and presentation of your Chemistry research. ChemOffice+ Cloud is a robust and comprehensive suite that was designed to simplify, facilitate, accelerate, and accelerate chemistry communication. The cloud-native ChemDraw Professional chemistry communication suite adds a powerful set to scientific research by adding a powerful set to the foundations. ChemOffice+ Cloud makes it much easier to create reports to communicate chemical research. Chemists can use ChemOffice+ cloud to create PowerPoint slides and manuscripts that are ready for presentation.