Elucidata's mission is to transform decision-making processes using data analytics in R&D labs in biotech and pharmaceutical companies. We build algorithms and softwares that enable processing, analyzing and visualizing large -omics data like metabolomics, genomics, transcriptomics, and proteomics among others. We build our own products, provide customized solutions for our partners and analyze datasets to answer specific questions.
Metabolomic data processing and analysis is a major bottleneck to study cellular metabolism. Our cloud-based platform eliminates computational bottlenecks to extract metabolomic insights from omics data. The end-to-end platform would process, analyze and visualize metabolomic data and provide a high resolution, quantitative and holistic measure of the flow of metabolites through biochemical pathways to accelerate the process of discovery to delivery of therapies to patients.
El-MAVEN is an LC-MS data processing engine for large-scale metabolomic experiments. It allows completely automated processing of raw LC-MS data from isotopomer labeling and ...Read more →
This tool performs natural abundance (NA) correction for LC-MS data from a labeling experiment. The web-interface allows working with metabolite intensities taken from softwares such as Multiquant, ...Read more →
PollyTM QuantFit is used for quantifying metabolomic data using standard samples. It allows the user to fit a range of functions like linear, polynomial or exponential with different ...Read more →
PVD allows intuitive visualization of metabolomic and transcriptional data on pathways of interest. The interface is pathway centric with other ...Read more →
We enable our partners to use information efficiently. By reducing the time experts spend on crunching numbers, our products and services give them more time to engage with the data in a meaningful way. We scale-up computationally intensive problems, speed-up routine workflows, design database solutions to save valuable data, develop analytical models to test hypotheses, and analyze datasets to answer biological questions.
Sequencing data are driving key decisions in labs and clinics. By 2025, between 100 million and 2 billion human genomes could be sequenced, generating 2–40 exabytes of data, which exceeds the projected ...Read more →
Our aim is to let scientists engage with data in an efficient and meaningful way by automating routine tasks and analysis. We use our expertise in software development and databases to provide customized ...Read more →
Results from different experiments often do not exist in one place, which makes it difficult for scientists looking to learn from other experiments. We have worked with multiple clients on specific ...Read more →
There is a trove of publicly available datasets like TCGA, COSMIC, GEO etc. that can be leveraged for R&D efforts for early target validation. Computational challenges aside, we believe the value of such ...Read more →