Alternatives to Illumina Connected Analytics

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.

Data management and simplified Bioinformatics are ideal for labs that are just getting started or for those who want to scale up their next-generation sequencing operations quickly. BaseSpace Sequence hub is an integral part of the BaseSpace Suite and is a direct extension to your Illumina instruments. BaseSpace Sequence hub allows you to manage your data with ease using a set of curated analysis apps. BaseSpace Sequence hub is powered by Amazon Web Services. Provides a secure environment. You can set up runs and monitor the quality of instrument runs. By converting sequence data into a standard format, and streaming it directly to the cloud, this tool promotes efficiency. Access to computing resources is available without the need for capital expenditures. Access to a variety of genomic analysis apps, whether provided by you, Illumina or third parties, increases organizational productivity.

GenomeStudio Software allows you to visualize and analyze data from Illumina array platforms. This powerful tool supports genotyping analysis of microarray datasets. Performance-optimized tools and a user-friendly graphical interface enable you to convert data into meaningful results quickly and easily. Analyze SNP/CNV data across 5,000,000 probes and markers. Detect outliers in sample data. Analyze differentially expressed genes across multiple genomes. Profile miRNA expression. Combine microRNA and mRNA data into one project. Single-base resolution detection of cytosine methylation. Identify methylation signatures throughout the entire genome. Illumina's goal is to use innovative technologies to analyze genetic variation and function. This will allow us to do studies that were impossible just a few short years ago. We believe it is vital to provide innovative, flexible, and scalable solutions that meet the needs of customers.

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.

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.

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).

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.

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.

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.

Geneious Prime makes bioinformatics more accessible by transforming raw information into visualizations which make sequence analysis intuitive. Simple assembly of sequences and easy editing contigs. Automatic annotation of gene prediction, motifs and translation. Genotype microsatellite trace with automated ladder fitting, peak calling, and generation of tables of alleles. A highly customizable sequence view displays beautiful visualizations of annotated assemblies and genomes. SNP variants analysis with powerful SNPs, RNA-Seq analysis and amplicon metagenomics. Create your own searchable database of primers, test PCR and sequence primers, and design and test them. CRISPR tools are powerful and make it easy to analyze your editing results, find sites, and design guide RNAs. Pre-processing NGS data with extensive tools for downstream analysis produces clean sequences. Create phylogenetic tree using peer-reviewed algorithms.

g.nome is a cloud-native, workflow-optimized platform that provides streamlined, scalable and interoperable workflows to perform next-generation sequencing analyses. g.nome offers a low-code/no code pipeline build. Using pre-built toolkits and workflows from a curated collection, g.nome gives researchers the power to import custom code and handle large datasets reliably. With g.nome you can remove long-standing barriers related to workflow language, visibility of process flow, and quality control. All that's left is streamlined, interoperable, and scalable genomic workflows. This allows research teams to focus on what they do best, which is the science.

Qlucore Omics Explorer makes it so simple to use that you don't have to rely on a specialist in bioinformatics for analysis and exploration of your Omics or NGS data sets. Qlucore Omics Explorer, a next-generation D.I.Y bioinformatics software, is available for research in academia, life science, and plant-tech industries. The flexible and powerful visualization-based data analysis tool delivers instant results and allows for the exploration and visualization of large data. The software was designed to allow you to choose the best workflow for your experiments and maximize the results of your research. You will be able see your results instantly by combining instant visualization with powerful statistics, flexible selection methods, and powerful statistics. You decide the workflow and starting point for your own exploration. You have complete control over the exploration process and can tailor it to your needs.

Ruffus is a Python computation pipeline library. It is open-sourced and powerful, user-friendly, and widely used for science and bioinformatics. Ruffus was designed to automate scientific and other analyses with minimal fuss and effort. It is suitable for even the most basic tasks. Even complex pipelines can be handled. This will prevent make or scons from becoming cross-eyed and recursive. No "clever magic", no pre-processing. The lightweight syntax, which does one small thing well, is unambitious. Ruffus is licensed under the permissive MIT-free software license. This license allows for free use and inclusion in proprietary software. It is a good idea to run your pipeline in a temporary directory that is not connected to your original data. Ruffus is a lightweight Python module that can be used to build computational pipelines. Ruffus requires Python 2.6 and higher, or Python 3.0 and higher.

A robust platform for automatic variant prioritization and clinical interpretation, as well as report generation, is essential to ensure efficient reporting of NGS-based clinical trials. Strand Omics, a cloud-based platform that is HIPAA-compliant and fast, drives our clinical diagnostics practice. It has been refined over 4 years with over 10,000 clinical reports and multiple peer reviewed publications. Strand Omics is a combination of bioinformatics algorithms and curated databases, visualization interfaces, and reporting capabilities. It offers specialized workflows that can be used for rare inherited disorders and somatic tumor profiling tests. The platform has over 10,000 variants curated to oncogenicity, 100 genes that are curated for druggability across multiple types of cancer, and 500 drugs that have been curated for evidence.

Founded in order to improve lives through high-value care, the hc1 platform has become a leader in bioinformatics for precision prescribing and testing. The cloud-based hc1 high-value care platform® organizes large amounts of live data, including genomics and medications, to provide solutions that ensure the right patient receives the right test and prescription. The hc1 Platform is a platform that powers solutions that optimize diagnostic testing, prescribing, and patient care for millions of patients across the country. Visit www.hc1.com to learn more about the proven approach of hc1 to personalizing care and eliminating waste for thousands upon thousands of health systems, diagnostic labs, and health plans.

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.

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.

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.

Microsoft's experience and scale in managing exabyte-scale workloads can be used to reduce the need for you to manage your own data center. Microsoft Genomics on Azure gives you the performance and scalability that comes with a supercomputing facility of the highest caliber, all on demand. Take advantage of an MPI backend network that has a latency of under three microseconds, and a non-blocking throughput of 32 gigabits per seconds (Gbps). This backend network features remote direct memory access, which allows parallel applications to scale up to thousands of cores. Azure offers high memory and HPC class CPUs to help get results quickly. Scale up or down according to your needs and only pay for what you actually use. Azure's worldwide network of data centers can help you meet your compliance needs and address data sovereignty issues. Easy integration into your existing pipeline code with a REST API and simple Python client.

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.

g6gTech Inc. is a software company that develops deep search products in the fields of bioinformatics (AI) and artificial intelligence (AI). To emphasize our focus on creating products, we have changed our name from G6G Consulting Group. The new G6GFINDR System, powered by semantic annotation, searches an expanding database bioinformatics software and artificial intelligence software. It uses a two-step process to allow you to refine your search. The previously developed Directory of Omics, Intelligent Software was used as a starting point. We are expanding our database of searched products at a rapid pace. All products in the database were carefully selected. To optimize results, the G6GFINDR system uses cookies to automatically gather information about your activities. g6gTech Inc. created the G6GFINDR system.

ESP is a unified, composable, and bimodal platform with a single data fabric that reduces the total cost of operations while enabling digital transformation for life sciences + healthcare. This FDA-compliant platform includes a number of best-in-class apps, including ELN, LIMS and Sample Management. ESP's REST API library and Python SDK enable flexibility and extensibility to meet customer-specific requirements. Each release is constantly updated with new applications. ESP ships with a wide range of pre-built connectors to lab Instruments, bio-process equipment, analytics, AI/ML, 3rd party software systems (such as ERP, CRM, EMR, etc.) logistics systems, bar-code printers, etc.

IDBS Polar is the first BioPharma lifecycle management (BPLM) platform in the world. It eliminates repetitive manual tasks and allows you to execute your processes efficiently while curating data. This will allow you to accelerate the time to market, by tackling the most challenging challenges of process design, optimization scale-up and technology transfer. Interactive data analytics applications such as bioreactor comparision designed specifically for biopharmaceutical development scientists. IDBS Polar is an integrated platform that manages drug progress in contexts such as workflow, integration and insight. Workflows designed for the BioPharma lifecycle, with process-aware design, planning, and execution. Integrations that give meaning to your data. Rapid integration into your development environment, enabling automation, and curating a data backbone based on processes.

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.

Securely combine multiomic data from individuals with their medical histories to provide more personalized care. To support large-scale analysis, and collaborative research across entire populations, use purpose-built data storage. Use scalable workflows and integrated computing tools to accelerate research. Protect patient privacy with HIPAA eligibility, built-in data access, and loglogging. Amazon Omics is a tool that helps healthcare and life sciences organizations, as well as their software partners, store, query, analyze, and interpret genomic, transcriptomic and other omics data. The data can then be used to generate insights that will improve health and advance scientific discovery. To understand how omics variation is related to phenotypes in a population, store and analyze omics data from hundreds of thousands of patients. To reduce turnaround times and increase productivity, create reproducible and traceable clinical multiomics workflows. Multiomic analysis can be integrated into clinical trials to evaluate the efficacy of new drug candidates.

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.

Avogadro, an advanced molecule editor/visualizer, is designed for cross-platform usage in computational chemistry and molecular modeling. It provides high-quality rendering and a powerful plugin structure. Avogadro, a free and open-source molecular editor/visualization tool, is available for Mac, Windows, and Linux. It can be used in computational chemistry and molecular modeling as well as materials science and other related areas. It provides flexible, high-quality rendering and a powerful plugin structure.

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.

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.

We build products with our in-house chemists, biologists and clients to deliver outstanding performance and scientific understanding. Chemaxon offers a wide range of products, including out-of-the box solutions for scientists and IT professionals. It also includes components that add extra functionality as well as integrations with 3rd-party software, such Microsoft Excel or KNIME. Chemaxon, a leading software provider, is trusted by more than one million users. Its industry-leading tools for scientific discovery include calculation, search, and drawing tools. Our applications are used widely in education and research in the life sciences. Our clients come from a wide range of industries. The majority of major pharmaceutical companies are among them. Our offices are located at Budapest, Basel and Boston, with distributors all over the world.

DNAnexus Titan™, a trusted data analysis solution, is the future of genomics and clinical pipelines. Legacy informatics tools are not designed to handle today's larger volumes of sequencing data. Research centers and clinical diagnostic test companies find it difficult to create, refine and validate pipelines using home-grown systems. DNAnexus Titan™ is a unified platform which removes bottlenecks from development and production. It brings all data and pipelines into one place, resulting in unparalleled efficiency. Let us handle the heavy lifting in managing industry- and region-specific compliance and security requirements, while meeting the global demand for sequencing information.

Project Jupyter is an open-source project that develops open-standards software and services for interactive computing in dozens of programming languages. JupyterLab provides a web-based interactive environment for Jupyter notebooks and code. JupyterLab's user interface is flexible. You can configure and arrange it to support a variety of workflows in data science and scientific computing. JupyterLab can be extended and modified to add new components or integrate with existing ones. Open-source web application, Jupyter Notebook, allows you to create and share documents with live code, equations and visualizations. Data cleaning and transformation, numerical modeling, statistical modeling and data visualization are just a few of the many uses. Jupyter supports more than 40 programming languages, including Python and R, Julia, Scala, and Scala.

With a single keystroke, switch between editor and command modes. Use the arrow keys to navigate between cells. All the Jupyter shortcuts are available. Fully interactive outputs are available right under the cell. Editing code cells is easy with smart code completion, quick error checking and quick fixes, and easy navigation. You can connect to remote JupyterHub or JupyterLab servers from the IDE. Interactively run Python scripts and arbitrary expressions in a Python Console. You can see the outputs and the state variables in real time. Split Python scripts into code cells using the #%% separator, and run them individually in a Jupyter notebook. Interactive controls allow you to browse DataFrames or visualizations in real time. All popular Python scientific libraries, including Plotly and Altair, ipywidgets and others, are supported.

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.

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.

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

QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester.

esDynamic allows you to maximize your security testing journey. From setting up your bench, to analyzing the results of your data processing, esDynamic will save you time and effort. Discover the comprehensive and flexible Python-based platform that is perfect for every phase of security analysis. You can easily customize your research space by adding new equipment, integrating different tools, and changing data. esDynamic also offers a large collection of materials that cover complex topics, which would normally require extensive research and a team of experts. This gives you instant access to expertise. Say goodbye to fragmented data and scattered knowledge. Welcome to a cohesive workspace that allows your team to easily share data and insights. This will foster collaboration and accelerate discoveries. Share your JupyterLab Notebooks with your team to centralize and solidify all your efforts.

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.

Kaggle provides a Jupyter Notebooks environment that is customizable and easy to set up. You can access free GPUs and a large repository of community-published data & codes. Kaggle contains all the code and data you need for data science. You can conquer any analysis with over 19,000 public datasets, and 200,000 public notebooks.

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.

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.

LabCloud™, is revolutionizing the world of lab informatics. Integrity is key to a successful operation, and effective research. LabCloud™, a fully integrated platform, allows R&D organizations better manage their research pipelines. You can increase innovation, reduce operational expenditures, improve compliance and transparency while increasing laboratory compliance. LabCloud's Lab Notebook gives scientists the ability to use state-of-the art tools to manage all your information in one place. Lab Notebook provides full inventory management and item and instrument management. You can access dozens of vendors, link directly to inventory, process orders, and invoices, and export to your accounting software. You can access your data in a secure and compliant environment. LabCloud's unique software platform gives you unprecedented control over data that was previously stored in isolated data silos. This allows for informed decision-making and compliance with industry standards.

The Genome Solution allows enterprises from all industries to harness the power of analytics to offer highly personalized experiences to their customers. The solution allows enterprises to capture customer behavior across all channels, including digital, social, offline, and data residing within an enterprise. It then collates it based upon behavioral attributes (genomes). The solution includes over 5,000 pre-made customer genomes. This allows enterprises to optimize data preparation and analysis time, which frees up 80% of the time required to prepare the data. This significantly increases the time available for data analysis. It also provides a foundation for prescriptive and predictive analytics to enable persona-based contextual insights.

Ensure seamless data integration and top-notch informatics management. iLES is a single-stop communication, documentation storage, and workflow hub for your entire organization. It works in real time. iLES supports LIMS (Lab Information System), ELN(Electronic Lab Notebook), SDMS [Scientific Data Management System] and DMS (Data Management System). Regardless of which digital stage your lab is at or what system it is replacing, iLES uses vendor neutral technologies to integrate your data. To manage all communications and lab needs, you will only need one system, iLES. Automated upgrades and rapid feature release. Access information securely from anywhere on the planet using any device that has an Internet connection. Technology that is vendor-neutral helps transform laboratories into paperless, tightly integrated environments.

JupyterHub allows you to create a multi-user hub that spawns, manages and proxies multiple instances the single-user Jupyter notebook servers. JupyterHub was created by Project Jupyter to support many users. The Hub can offer notebook server to a class, a corporate data science group, or a high-performance computing group. JupyterHub does not officially support Windows. JupyterHub may work on Windows if you have a Spawner or Authenticator that works on Windows. However, the default JupyterHub will not. Bugs that are reported on Windows will not get accepted and the test suite won't run on Windows. However, small patches that address minor Windows compatibility issues (such basic installation) may be accepted. We recommend that JupyterHub be run in a Linux VM or docker container for Windows-based systems.

Intel®, DevCloud provides free access to a variety of Intel®, architectures. This allows you to get hands-on experience using Intel®, software, and execute your edge and AI, high-performance computing, (HPC) and rendering workloads. You have all the tools and libraries you need to accelerate your learning and project prototyping with preinstalled Intel®. optimized frameworks, tools and libraries. Freely learn, prototype, test, run and manage your workloads on a cluster with the latest Intel®, hardware and software. A new collection of curated experiences will help you learn, including market vertical samples and Jupyter Notebook tutorials. You can build your solution in JupyterLab, test it with bare metal, or create a containerized solution. You can quickly bring it to Intel DevCloud to be tested. Use the deep learning toolbench to optimize your solution for a specific target device edge. Take advantage of the new, stronger telemetry dashboard.

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.