Data & Insights
We analyze your data and present clear, actionable results, including data visualization, application of deep learning models, and statystical analysis.
Services
Our services focus on the use of modern computational techniques to problems in all kinds of scientific domains. With considerable expertise in data modeling and analysis, we can tackle complex challenges and deliver easy-to-use solutions. While our services are not limited to the following areas, we have particular experience in them:
Bioinformatics
We process and interpret biological data for research and product teams, including genomics, data integration, and reproducible workflows.
Space & Modeling
We plan and simulate orbits and systems to support mission decisions, implementing and improving existing algorithms and tools.
Neural network model development
We develop custom neural network models tailored to your specific needs, ensuring optimal performance and accuracy for your applications.
Website development & deployment
We build websites with a focus on modern aesthetics and performance.
Previous Works
These are some of our previous projects. Please contact us for more details.
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Gintegrator
A web application that provides functionalities for translating gene or protein identifiers across various biological sequence databases. Makes use of ginmappeR, a R package to translate gene or protein identifiers between state-of-art biological databases
Gintegrator
A web application that provides functionalities for translating gene or protein identifiers across various biological sequence databases. Makes use of ginmappeR, a R package to translate gene or protein identifiers between state-of-art biological databases
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openSkies
An R package for processing public air traffic data. The package provides an interface to the OpenSky Network resources, standardized data structures to represent the different entities involved in air traffic data, and functionalities to analyze and visualize such data. Furthermore, the portability of the implemented data structures makes openSkies easily reusable by other packages, therefore laying the foundation of aviation data engineering in R.
openSkies
An R package for processing public air traffic data. The package provides an interface to the OpenSky Network resources, standardized data structures to represent the different entities involved in air traffic data, and functionalities to analyze and visualize such data. Furthermore, the portability of the implemented data structures makes openSkies easily reusable by other packages, therefore laying the foundation of aviation data engineering in R.
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asteRisk
A comprehensive suite for astrodynamics analysis in R. The package includes implementations of some of the most frequently applied orbital propagators, including the SGP4 and SDP4 models, as well as a high-precision numerical orbital propagator. Additionally, utilities for reading file formats commonly used to distribute satellite positions (ephemerides), as well as to perform conversion between different frames of reference and time systems are provided.
asteRisk
A comprehensive suite for astrodynamics analysis in R. The package includes implementations of some of the most frequently applied orbital propagators, including the SGP4 and SDP4 models, as well as a high-precision numerical orbital propagator. Additionally, utilities for reading file formats commonly used to distribute satellite positions (ephemerides), as well as to perform conversion between different frames of reference and time systems are provided.
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R packages
We develop and maintain a number of R packages for data analysis, visualization, and computational tasks. These packages are designed to be user-friendly and efficient, helping researchers and analysts streamline their workflows.
R packages
We develop and maintain a number of R packages for data analysis, visualization, and computational tasks. These packages are designed to be user-friendly and efficient, helping researchers and analysts streamline their workflows.
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Academic research
We conduct academic research in various fields. Our research is published in peer-reviewed journals and presented at conferences, contributing to the advancement of knowledge in these areas.
📄 ginmappeR: an unified approach for integrating gene and protein identifiers across biological sequence databases 📄 Gintegrator: Enhancing biological sequences data integration with real-time identifier translation 📄 openSkies - Integration of Aviation Data into the R Ecosystem 📄 asteRisk - Integration and Analysis of Satellite Positional Data in R 📄 Refining satellite trajectories with celestial body features using neural networks 📄 Neural networks for aircraft trajectory prediction 📄 AYNEXT: Tools for streamlining the evaluation of link prediction techniques 📄 Topological analysis of metabolic networks integrating co-segregating transcriptomes and metabolomes in type 2 diabetic rat congenic series 📄 MetaboSignal: a network-based approach for topological analysis of metabotype regulation via metabolic and signaling pathways 📄 J-Resolved 1H NMR 1D-Projections for Large-Scale Metabolic Phenotyping Studies: Application to Blood Plasma Analysis 📄 MWASTools: an R/bioconductor package for metabolome-wide association studies 📄 Exploring the Genetic Landscape of Metabolic Phenotypes with MetaboSignal 📄 A network-based data-mining approach to investigate indole-related microbiota-host co-metabolism 📄 pJRES Binning Algorithm (JBA): a new method to facilitate the recovery of metabolic information from pJRES 1H NMR spectra 📄 rfaRm: An R client-side interface to facilitate the analysis of the Rfam database of RNA families
Academic research
We conduct academic research in various fields. Our research is published in peer-reviewed journals and presented at conferences, contributing to the advancement of knowledge in these areas.
Contact
Tell us about your problem, goals, and timeline. We respond within 2–3 business days.
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