Alternatives to Recursion

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.

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.

Eidogen-Sertanty’s Target Informatics platform (TIP), is the first global structural informatics system. It enables researchers to examine the druggable genome from an structural perspective. TIP increases the rapidly expanding body experimental protein structure information and transforms structure based drug discovery from an inefficient, data-scarce discipline to a high-throughput science with rich data. TIP is a tool that bridges the knowledge gap between bioinformatics (bioinformatics) and cheminformatics. It provides drug discovery researchers with a knowledge bank of information that is both unique and highly complementary to existing bio- and cheminformatics platform information. TIP's seamless integration between structural data management technology and unique target-to-lead analysis capabilities enhances every stage of the discovery pipeline.

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.

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.

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.

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.

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.

Genospace understands that genomics is driving precision medicine development, but scaling its delivery remains a challenge. We are here to help. Our platform makes biomedical data meaningful, accessible and easy to use for everyone, especially those at the frontlines of care delivery. Your clinicians and researchers will have the information they need in order to make informed decisions. Join us in our mission to leverage high-dimensional molecular data to improve patient outcomes and accelerate drug discovery and research. For drug development and research, large-scale population data is essential. Genospace platform allows you to conduct cohort-driven analyses that will inform your research activities. We are experts in clinical trial research. Genospace allows you to quickly accrue patients by matching fragmented patient data with complex trial criteria. The Genospace platform enables you to integrate genomic medicine into your mainstream clinical care.

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.

Aspect Analytics is a multi-omics spatial platform for collaborative cross-disciplinary data management and analysis. For teams working in drug development, biomarker research, pathology analysis and beyond. Aspect Analytics facilitates cross-disciplinary collaboration and enables breakthrough research by bringing multi omics data into one collaborative platform. Add different spatial omics measurements to one visualization simultaneously. Our platform will combine data from all of your spatial multi-omics tests to give you the insights you require. Securely store and manage petabytes. Access it anywhere, anytime. Scale and customize your data infrastructure to meet your needs. Integrate spatial biology data across different technologies and vendors, regardless of data format. Set up automated workflows to run in-depth analysis on large datasets in parallel.

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.

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.

Our global data-sharing networks generate clinically actionable insights to improve patient outcomes globally. SOPHiA GENETICS is on a mission to build the future in AI-assisted medical care. We are integrating multimodal data from healthcare-omics, unlocking existing data silos and developing machine learning models in order to produce actionable insight that can eventually support healthcare professionals improve patient outcomes. The new interface, features, and cutting edge capabilities will accelerate precision medicine workflows and bring us closer to democratizing the data-driven medicine.

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.

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.

Genoox is a growing and diverse community that gathers the most relevant data and delivers real-world genomic insights. These insights can be used to improve patient outcomes and shape the business of healthcare. Our solutions are changing genomics. Genoox leverages the power of its community to combine public data with community data to speed up the path from DNA sample through to clinical report. This improves patient care by making genomic information accessible and actionable at point of care. Genoox is a platform that enhances research and life science companies. It uses real-world data and evidence to power robust genomic analytics. This enables researchers to simplify complex genomic data and make important discoveries using the most advanced genetic tools. Genoox allows biosystems companies, such as DNA sequencing companies, to bundle their state-of-the art genomic engine with dedicated assays.

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.

BIOiSIMTM, a revolutionary 'virtual drug engine', is the first-in-class tool that allows drug developers to narrow down the number drugs that have potential value in treating or curing specific diseases or illnesses. We offer a variety of translational-based solutions that can be customized for your clinical and pre-clinical programs. All of these solutions are based on our BIOiSIMTM platform, which is a proven and validated platform for small molecules, large molecule, and viruses. Our models are built using data from thousands upon thousands of compounds across seven species, which gives them a robustness that is rare in the industry. The platform is focused on human outcomes and has at its core a translatability tool that transforms insights across species. The BIOiSIMTM platform is available before preclinical animal trials begin, which allows for earlier insights and saves on expensive outsourced experimentation.

We combine clinical and experimental data with machine learning to improve precision medicine and navigate human disease biology. Contingent AI™, a patent-pending technology, understands data relationships to provide sophisticated insights. We tackle data bias by iterating upon machine learning models that are based on decisions made during the feature engineering and pre-processing stages. We use zebrafish, cell, and other phenotypic animals models to validate in-silico predictions in in vivo experiments. We also genetically modify them in vitro to improve translation. We quickly incorporate new data into machine learning models by using active learning and computer vision on validated models of cardiac, central nervous system, and rare disorders.

NVIDIA®, Parabricks®, is the only GPU accelerated suite of genomic analysis apps that delivers fast, accurate analysis of exomes and genomes for sequencing centres, clinical teams and high-throughput instrument developers. NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians--enabling significantly faster runtimes, workflow scalability, and lower compute costs. NVIDIA Parabricks can accelerate runtimes in a variety of hardware configurations, from FastQ to Variant Call format (VCF). This is done with NVIDIA Tensor Core GPUs. Genomic researchers will experience acceleration at every step of their analysis workflows - from alignment to sorting and variant calling. The compute time can be accelerated up to 107X when more GPUs are added.

GeoMx Digital Spatial Profiler allows you to quickly resolve tissue heterogeneity, and the complexity of the microenvironment with the most flexible and robust multi-omic spatial platform for analysis of FFPE tissue sections and fresh frozen tissue. GeoMx is a spatial biology platform which non-destructively profiles RNA and proteins from distinct tissue compartments, cell populations and an automated workflow that integrates standard histology staining. You can spatially profile the entire transcriptome and over 570 protein targets, either separately or simultaneously, using your choice of sample inputs. These include whole tissue sections (WTS), tissue microarrays or organoids. GeoMx DSP is the spatial biology platform you should choose for biomarker detection and hypothesis testing. Let the tissue guide you with a biology-driven profile that allows you to select the tissue microenvironments or cell types that are most important to you.

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.

VIPER automates screening from remote patient identification (at point of diagnosis) through to qualified enrollment. VIPER uses artificial intelligence to match patients to precision trials within a narrow window of opportunity. This is done through the ingestion of lab-agnostic genomic and pathology data. It is tailored to the patient and the researcher. VIPER searches the personalized matching engine to locate the best clinical trials available for a patient's specific diagnosis--at that time. VIPER integrates workflow to send real-time notifications to the entire care team about a patient's eligibility in available clinical trials. This is done within a very limited enrollment window. VIPER provides interactive dashboards that allow you to access real-time data mining capabilities to aggregate patient data from both study and site levels to help you reach your study KPIs.

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.

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.

Patients around the globe suffer from complex diseases and have a wide range of symptoms. They all share one thing: Patients need faster access to safer and more effective treatments. Owkin's mission empowers researchers at hospitals, universities, as well as pharmaceutical companies to understand why drug efficacy differs from patient to patient, improve the drug development process, identify the best drug for the patient to improve treatment outcomes, and provide support to patients. Owkin Loop, the core of Owkin’s research platform, connects medical researchers to high-quality datasets from top academic research centers around world. Owkin Studio, Owkin Connect and Owkin Studio are the two main components of Owkin Software Stack. They power Owkin Loop. Owkin medical research collaborations include oncology, immunology, and cardiovascular diseases.

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.

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.

Combining the multiomic data and medical history of an individual to deliver more personalized healthcare. Use purpose-built databases to support large-scale analyses and collaborative research across populations. Accelerate your research with scalable workflows, integrated computation tools and integrated computing. Protect patient privacy by ensuring HIPAA compliance and using built-in data access, logging and logging. AWS HealthOmics enables healthcare and life sciences organizations and their software partner to store, query and analyze genomic, transcriptionomic, or other omics data, and then generate insights using that data. Store and analyze omics for hundreds of thousands patients to understand the relationship between omics variation and phenotypes in a population. Create reproducible and traceable workflows for clinical multiomics to reduce turnaround time and increase productivity. Integrate multiomic analyses into clinical trials to test out new drug candidates.

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).

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.

The toolkit was developed in the Data Sciences Platform of the Broad Institute. It offers a variety of tools, with a focus on variant detection and genotyping. Its powerful processing engine, high-performance computing capabilities and flexibility make it a great tool for any project. The GATK is a standard in the industry for identifying SNPs in RNAseq and germline DNA data. Its scope has now expanded to include somatic short variation calling, copy number (CNV), and structural variation (SV). The GATK includes not only the variant callers, but also many utilities that perform related tasks like processing and quality-control of high-throughput sequence data. It also bundles the Picard toolkit. These tools were designed primarily to process whole genomes and exomes generated by Illumina sequencing technology. However, they can be adapted for a variety other technologies and experimental design.

R&D and manufacturing labs must be able to change and reconfigure on the fly in order to accelerate new discoveries and bring products to market quickly. Data management shouldn't be a problem. Thermo Scientific™, Nautilus LIMS™, for Dynamic Discovery and R&D Environments was developed in partnership with customers. It is highly configurable and flexible. It increases workflow efficiency, throughput, data reliability, and simplifies administration, sample traceability, and regulatory compliance.

Clarity LIMS, a laboratory information system, is designed for genomics laboratories to track samples and manage workflows in order to optimize and efficiently run the lab. Clarity LIMS is capable of much more than just tracking samples. It is the digital backbone for your lab and actively manages all laboratory operations from sample and data collection to people, instruments and consumables. Clarity LIMS automates and standardizes workflows to save time and reduce the risk of human error. It can be scaled to fit your laboratory ecosystem and accommodate new technologies. Clarity LIMS is a laboratory information management system. Pre-packaged workflows, Illumina sample/library preparation kits and instruments and quality control features flagging poor-quality samples help your laboratory save time. Supports compliance with eSignatures, audit trails, reagent tracking and lot tracking and privacy and security controls Automated business logic and error checking promote accuracy

Geneyx Analysis provides a comprehensive solution to analyze next-generation sequencing data. It can be used by commercial and hospital labs. This advanced platform integrates AI and machine learning features to identify new biomedical insights while improving diagnostic yields. Geneyx Analysis provides a transparent and intuitive solution that allows clinicians and researchers complete control over their data analysis. This reduces the complexity of regulating internal bioinformatics workflows. Our comprehensive annotation engine can support the analysis of all genetic variations, including structural and copy-number variations, as well as regulatory components. Protocols can also be fully customized for gene panels, genomes, or exomes. Geneyx Analysis automates diagnostics from sequencer to report while creating a comprehensive resource of novel variants.

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.

The award-winning XIFIN LIS, a SaaS-based laboratory information platform, is fully scalable and scalable. It offers flexible and secure connectivity, multi-specialty workflows and cutting-edge capabilities to optimize complex and high volume testing labs. The healthcare industry is changing to accommodate patient-centered and value-based coordinated care models. The rapid adoption of next-generation sequencing (NGS) and genomic testing is accelerating this shift. Laboratories will need to adapt their processes to meet the challenges of reporting and implementing these complex tests. Diagnostic insights can help reduce healthcare costs and improve patient care. It is therefore crucial that laboratories integrate better with the healthcare system. These demands drive greater interaction and communication among all healthcare and diagnostic providers.

Persistence container technology allows for lightweight operation. Pay-per-use in just seconds, not hours or months. The next month, fees will be paid via credit card. Low price for high performance. Oak Ridge National Laboratory will install it in the fastest supercomputer in the world. Machine learning applications such as deep learning, computational fluid dynamic, video encoding and 3D graphics workstations, 3D renderings, VFXs, computational finance, seismic analyses, molecular modelling, genomics, and server-side GPU computing workloads.

Vytelle is a precision livestock business that reshapes the way cattle producers around the world optimize their herds. Our solutions reduce uncertainty and help you make the most important decisions regarding reproduction and mating. Vytelle™, our proprietary individual animal data capture software, is VytelleSENSE™. It records feed intake and inpen weight gain to help you identify high-performing animals that exhibit important economic and environmental traits. Low-contact devices capture key performance data without stressing the animal and communicate it to other information for processing and integration. Our decision tools are powered by the only AI analytic engine in the industry, based on 30 years of continuous improvement in helping producers collect and use data about cattle. It quickly processes phenotypic and genomic data, as well as performance data, to create easy-to-read dashboards, reports, and reports that allow you to make better decisions for your cattle operation.

Combinatorial barcoding technology removes the limitations and frustrations associated with yesterday's single cell approach. It eliminates the need for a specialized instrument and allows you to make new discoveries. Unleash the power of a single cellular. In a single experiment you can profile up to 1,000,000 cells or nuclei, allowing for unprecedented scientific progress. Evercode's combinatorial barcoding technology is superior to droplet-based approaches. You can now expand the size of your experiment without the restrictions of the past. Get better data quality. All without the need to use finicky hardware which is already outdated. You can perform single-cell experiments using a pipette, common laboratory equipment and a pipette. Split-pool combinatorial barscoding allows for scalable single cells, without the need for a custom instrument. Scalable single-cell sequence without the instrument. Each kit includes end-to-end reagents for solution and intuitive analysis software.

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.

PacBio (Pacific Biosciences) is a premier life science technology company that is designing, developing and manufacturing advanced sequencing solutions to help scientists and clinical researchers resolve genetically complex problems. Our products address solutions across a broad set of research applications including human germline sequencing, plant and animal sciences, infectious disease and microbiology, oncology, and other emerging applications. The Revio system adds affordability, high throughput, and ease of use to a foundation of long reads, exceptional accuracy, and direct methylation detection. The Onso system is an innovative benchtop short-read DNA sequencing platform with an extraordinary level of accuracy using PacBio sequencing by binding. Software tools for Sequel II/IIe and Revio systems designed to set up and monitor long-read HiFi sequencing runs, review performance metrics, analyze, visualize, and annotate sequencing data.

We help healthcare systems reduce their burden by providing automated analysis, diagnosis and treatment solutions to healthcare professionals and patients around the world. Congenica was founded by pioneering work done at the Wellcome Sanger Institute in the UK and the NHS. Our products combine the latest technology, automation and AI to create a platform that is uniquely differentiating. This platform can be used in any area of human disease, where genomic data is critical to unlocking actionable insight. We are a digital healthcare company that provides software and solutions to analyze and interpret genomic data at large scale. Full automation using powerful APIs and ML, to reduce the burden of specialist staff, increase case throughput, speed up decision-making and streamline reporting. Platform for accurate, certified, and secure clinical decision support with the highest level of confidence in clinical outcome.

AI-powered drug discovery is a proven technology. Cerella extracts hidden insights from your drug discovery data to reveal the best compounds and most valuable experiment for your project. It can make confident predictions by accurately filling in the missing values. This is especially useful for expensive downstream experiments, which are impossible to predict using other methods. This allows you to do more with sparse and limited data sets.

Dotmatics is the global leader in R&D scientific software that connects science, data, and decision-making. More than 2 million scientists and 10,000 customers trust Dotmatics to accelerate research and help make the world a healthier, cleaner, and safer place to live.

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.

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.

Design and simulate cloning processes accurately. Test complex projects, catch mistakes before they happen, get the right constructs on the first try. Cloning becomes easier when you see what you're doing. The intuitive interface simplifies complex tasks by providing you with a clear view of your work. SnapGene automates the documentation so you don't need to. Share and view every sequence edit or cloning process that led to the final plasmid. Improve your core molecular biological procedures and your results. SnapGene Academy, our new online learning centre, will help you master SnapGene as well as key concepts in cloning. SnapGene Academy contains over 50 video tutorials, taught by experts in the field. This helps you improve your skills in multiple molecular biological courses. SnapGene 7.2 offers a new visualization for primer homodimer structure and enhancements to the file management. Tabs can be organized using drag-and-drop in multiple windows.

Cellenics can help you turn your single-cell sequencing data into meaningful insights. Cellenics is an open-source analytics tool developed by Harvard Medical School for single cell RNA sequencing data. Biomage hosts the community instance. It allows biologists to explore datasets of single-cells without having to write code, and helps scientists and informaticians work together more effectively. It can take you from count matrixes to publication ready figures in a matter of hours. It can also be seamlessly integrated into your workflow. It is fast, interactive and user-friendly. It's cloud-based and scalable. Cellenics, hosted by Biomage as a community instance, is free for academics with small/medium datasets (upto 500,000 cells). Over 3000 academic researchers use it to study cancer, cardiovascular health and developmental biology.