Programmes

Chronic non-healing skin ulcers are a source of considerable suffering worldwide, particularly in rapidly growing aging populations. Why skin becomes fragile and heals poorly as we age remains unclear, although current research indicates that a major reason may reside in defective “stem cells” in skin that normally fuel its renewal and regeneration in order to maintain healthful and youthful function and appearance. Our findings indicate that stem cell pathways involving cell metabolism, DNA ...

The Snoep Lab’s core research efforts are in Computational Systems Biology; a combined experimental, modeling and theoretical approach to quantitatively understand the functional behavior of Biological Systems resulting from the characteristics of their components. Our main focus is on metabolism, of human pathogens such as Plasmodium falciparum, Mycobacterium tuberculosis, but also of breast cancer cell lines, and on modelling disease states such as glucose homeostatis in type 2 diabetes, and ...

Background. RB1 is a paradigm gene for heritable cancer. Almost all RB1 mutation-carriers develop retinoblastoma (heritable-Rb-patient) during childhood and many heritable-Rb-survivors develop second primary malignancies (SPMs; notably sarcomas and melanomas) throughout life, which are often fatal. To date, no standard protocols are available for early detection of SPMs. Recently, blood-based cancer tests have opened up encouraging new possibilities for surveillance. We have developed novel ...

RNA-Seq projects from SECARNA

The principal research aim of iPLACENTA is to improve our ability to study, model and visualise the placenta. This will contribute to developing diagnostic tests and therapies for pregnancy complications such as preeclampsia and intrauterine growth restriction (IUGR). Placental defects are thought to be the cause of many major pregnancy complications, such as preeclampsia and intra-uterine growth restriction. Preeclampsia affects between 5 and 8 out of every 100 pregnant women and claims the lives ...

This page is dedicated to the bioinformatics analysis and computational modelling related to Covid-19 disease map pathways.

We develop macrophage logical models to represent the activation/polarization of this immune cell. Interactions are manually curated with available macrophage literature. The models are mainly built and analyzed in GINsim. But other resources are used to integrate specific pathways or small modules (CasQ software) and to analyze the logical models (CoLoMoTo Notebooks).

We used the Neo4j graph database approach to integrate the content of the COVID-19 Disease Map diagrams to efficiently access, query and manage the content of these diagrams and enable communication with external resources, such as Reactome and Recon, that already provide support via a similar environment.

nfdi4health aims to create the most comprehensive inventory of German epidemiological, public health and clinical trial data to date. It builds a centralised data catalogue with elaborate search functionalities, sophisticated data access management, and a data analysis toolbox, while respecting stringent requirements for privacy concerning personal health data. Standardisation services ensure a high degree of interoperability. Use cases covering prototypical study types and areas of research show ...

The Disease Maps Project is designed as a large-scale community effort. It is a network of groups that work together in order to better understand disease mechanisms. The project exchanges best practices, share information, develop tools to make it easier for all the involved groups to achieve their goals.

The main objective of the ERANET proposal Systems Biology Applications - ERASysAPP (app = application = translational systems biology) is to promote multidimensional and complementary European systems biology projects, programmes and research initiatives on a number of selected research topics. Inter alia, ERASysAPP will initiate, execute and monitor a number of joint transnational calls on systems biology research projects with a particular focus on applications - or in other words so called ...

The RNA Systems Biology Lab Programme compiles the different research projects developed in our lab. The RNA Systems Biology Lab is a collaborative research lab headed by PIs Margarida Gama-Carvalho and Francisco Pinto at the Department of Chemistry and Biochemistry, Faculty of Sciences, University of Lisbon, and integrates the BioSystems and Integrative Sciences Institute (BioISI) Gene Expression and Regulation Group, headed by Margarida Gama-Carvalho. Our research brings together computational ...

A storage of the data #for the first time

projects difference in non-chromosomal genomes of the alloplasmic lines of barley & detection of pathogenic mutations in the patients with non-coronary heart diseases through NGS using

The DrugLogics initiative comprises a number of different subprojects, all geared towards the development of personalised medicine, or precision medicine

ISBE-Light provides M4 service (Make Me My Mode) where non modelers can request (assistance with) the making of a computational model of their biological system. These models are deposited here.

LiSyM (Liver Systems Medicine) represents a research network of German centers and institutions, brought together by a 20 Million Euro funding program of the German Government, in which mathematicians, modelers, pharmacologists, molecular biologists and clinical scientists work together to develop a Systems Medicine approach to study early and advanced liver disease. The aim of this unique research program is to acquire and use new experimental data and data from existing data bases to build ...

FAIRDOM is establishing a support and service network for European Systems Biology. FAIRDOM is a joint action of ERA-Net ERASysAPP and European Research Infrastructure ISBE to establish a data and model management service facility for Systems Biology. Our prime mission is to support researchers, students, trainers, funders and publishers by enabling Systems Biology projects to make their Data, Operating procedures and Models, Findable, Accessible, Interoperable and Reusable (FAIR).

Consortium of European research groups that aim to develop - in the forthcoming 10 years - a cluster of interlinked models that describe the whole-body human energy metabolism and its multi-dimensional regulation. Regulation includes interations with the brain, the immune system and the gut.

Projects that do not fall under current programmes.

e:Bio - Innovations Competition Systems Biology