Data Analysis: our expert advice

With the steady reduction in costs and the introduction of high performance instruments (including small benchtop DNA sequencers), data generation is projected to grow exponentially, in the near future. Consequently, data analysis is expected to become the bottleneck for genomic and proteomic R&D projects for many end-users. The analysis of sequence data relies on up-to-date bioinformatic tools, proper computer hardware and streamlined computational processes. These resources and capabilities are not always available to many end-users who are therefore unable to take full advantage of the power of DNA sequencing. While several commercial laboratories offer data-acquisition services, the analysis of the generated datasets is often limited to a basic report, created automatically by the instrument, under default settings. This leaves the client with no controls over the analysis, and no understanding of the methods adopted. At Econumerics, we tailor the analysis of the data to suit your specific needs and fit the objectives of your project. We can adjust the stringency and the approach, so that you are in full control of the data analysis process and the results are more meaningful to your business or relevant to your policies.

For data-interpretation, we boast over 20 years of experience matured in basic and applied research projects. We don’t simply generate the data, but help you gaining insights from the results, backing up your strategic decisions, and understanding the statistical significance and implications for your business. Data interpretation suits clients from the Academic or Corporate sector and is essential to make informed business decisions.

We explore, understand and visualize genomic data for biomarker scientists, crop and animal breeders, geneticists, researchers, health care professionals.

We use individual multilocus genotypes at a number of codominant or dominant marker loci, to perform sibship and parentage joint assignments. We assist crop and animal breeders in estimating full- and half-sib relationships, assigning parentage, inferring mating system (polygamous/monogamous) and reproductive skew, in both diploid and haplo-diploid species.tworks and infer horizontal gene transfer (HGT) events.

We process Next-Generation-Sequencing-based microbiome data to survey microbial communities from any biological or environmental sample, and generated through a variety of techniques including Shotgun metagenomic sequencing, rRNA sequencing, metatranscriptomics.

Using molecular sequences, we reconstruct phylogenetic trees, evolutionary relationships, reticulation networks and infer horizontal gene transfer (HGT) events.

Econumerics also specialises in helping public authorities to tackle socio-economic challenges and provide solutions in the fields of climate adaptation, environmental protection, economic analysis of non-market valuation and other areas related to climate change policies and sustainable energy management. The economics-based tools allow us to develop objective methodologies for tracking the size and nature of public and private climate finance, but also design proactive climate adaptation and environmental conservation strategies. We have the capacity to provide high quality research on diverse issues within the broader field of environment and natural resource economics as well as development economics. Some of our specific research areas include:

Non-market valuation of environmental resources including designing surveys, collecting data, processing and analysing data;

• Development and adaptation of General Equilibrium Model for Energy-Economy-Environmental interaction GEM E3;
• Analysis of market instruments for energy related environmental policy, such as taxes, subsidies, regulations and pollution permits;
• Climate change, adaptation and mitigation strategies in urban and regional area;
• Sustainable management of renewable resources (including implementation and development of offshore wind farm);
• Non-renewable resources management and use conflicts;
• Imperfect land markets, tenure insecurity and agricultural productivity;
• Climate variability, resource scarcity and conflicts.