Academia & Research
Nexrevo Bioinformatics partners with universities, research consortia, and academic medical centers to provide technology solutions that empower scientists.
Academic institutions and research labs are the cradle of innovation, but they often face challenges in managing big data and complex analyses.
We understand the unique needs of academia – from grant-funded project cycles to the importance of open science – and we deliver platforms and support that accelerate discovery while integrating with academic culture.
Key Technologies Used
High-Performance Computing (HPC) & Cloud for Science
Solutions that give researchers ondemand access to scalable computing power for data-heavy tasks like genome assembly, molecular simulations, or large-scale data mining. We implement scientific computing clusters and cloud environments (AWS, GCP, Azure) configured for common bioinformatics and data science workflows.
Data Management & Collaboration Tools
Data lakes and repositories (with support for open data standards) where labs can securely store, share, and version-control datasets. We deploy platforms like electronic lab notebooks (ELNs), Git-based code repositories, and project management tools tailored to research teams to enable collaboration across institutions.
Scientific Workflow Automation
Pipelines and workflow management systems (e.g., Nextflow, Galaxy) that automate multi-step analyses, from raw data input to final results. This ensures reproducibility and efficiency, so researchers spend less time on manual data wrangling and more on hypothesis testing.
AI & Statistical Analysis Platforms
Integration of machine learning toolkits (TensorFlow, scikitlearn) and statistical software (R, SAS) in user-friendly interfaces that enable researchers (even those with limited coding skills) to apply advanced analytics to their data – whether it’s an AI model to classify cell images or a statistics package for clinical study data.
Visualization & VR for Science
Advanced visualization tools that help make sense of complex data – from interactive genomic browsers to VR environments for exploring 3D protein structures or anatomical models for educational purposes. Such tools aid insight and communication of results.
Educational Tech & MOOCs
Platforms for training the next generation of scientists in bioinformatics and data analysis (like customized online learning portals or interactive coding sandboxes). While not a core offering, our educational tech support helps build capacity within academic clients so they can fully leverage the tools we implement.
Solutions Offered
Integrated Research Data Repositories
Setting up institution-wide data repositories that break down silos between departments. These might include a university’s central biomedical data repository where genomics, imaging, and clinical trial data are stored under proper governance. We ensure these repositories are searchable, secure, and interoperable (facilitating data sharing for multidisciplinary research and compliance with data-sharing mandates).
Custom Bioinformatics Pipelines
For labs working on specific problems – say a custom analysis for single-cell RNA-seq or a unique imaging analysis for neuroscience – we develop and deploy tailormade pipelines. We also train the lab members to run and adapt these pipelines, leaving them with robust tools for ongoing research.
Collaboration Portals
Deployment of portals or intranet sites for research consortia where members can upload data, share preliminary findings, and manage projects. These include features like discussion forums, shared analytics results, and version control for documents and code, all behind secure access – essentially a digital ecosystem for a multi-institution science team to work as one.
Grant Data Management Plans (DMPs)
We offer consulting on creating and implementing data management plans for large grants. This includes setting up the necessary infrastructure to fulfill funder requirements for data sharing, archiving, and reproducibility. Our solutions might involve setting up public-facing data portals for disseminating results to the broader scientific community.
High-Performance Computing Management
For universities that maintain on-premises HPC clusters, we provide services to optimize and manage these resources. This could mean upgrading cluster scheduling software, integrating cloud bursting for peak times, or containerizing bioinformatics tools to ensure easy execution of complex software environments across the user base.
Tech Support & Training Programs
Ongoing support contracts where our experts function as an extension of the university’s research IT support. We help troubleshoot complex analysis issues, update pipelines with new methods, and run workshops or hackathons to upskill researchers (e.g., a workshop on machine learning for biologists or best practices in data visualization).
Applications & Impact
Accelerated Discoveries
With powerful computing and streamlined workflows, academics can test hypotheses and analyze experiments faster. Projects that once took months of data crunching can yield results in weeks, speeding up the pace of discovery – important for things like responding quickly during public health research or capitalizing on time-sensitive grant opportunities.
Increased Collaboration
Our platforms break geographical and departmental barriers. We’ve seen researchers from different faculties (e.g., bioinformatics and clinical departments) who previously struggled to share data, now collaborate seamlessly on our integrated portals. This cross-pollination leads to innovative approaches and joint publications that might not have happened otherwise.
Reproducible Science
By automating and standardizing analyses, we help ensure that scientific results can be reproduced – a cornerstone of credible research. Labs using our workflow solutions can easily rerun analyses or share methods with peers, bolstering the reliability and impact of their work.
Insights & Thought Leadership
Explore perspectives on emerging trends in bioinformatics,
genomics, AI, and digital health innovation.
