![]() ![]() To address these challenges, suitable bioinformatics web applications were developed in the frame of this thesis. Pivotal to the success of drug target discovery strategies are efficient bioinformatics methods for sample management, data processing and analysis, as well as systems biology methods to Interrogating these for only 10 cancer markers thus leads to 24 million sample spots. Here, each sample is typically spotted more than 20 times in a dilution series on so-called reverse-phase protein arrays (RPPAs). A differential screen in triplicates involves approximately 120,000 samples, which can be further utilized in a secondary readout on the protein level. ![]() In one application of HTS, the effect of silencingĮach individual gene in the genome is studied via RNA interference. The combination of large-scale functional genomics techniques and high-throughput screening (HTS) is a powerful approach to systematically discover drug targets and novel agents. Highly resilient breast cancer stem cells have been implicated in treatment resistance, metastasis and tumor relapse, demanding the development of new targeted therapies. Furthermore, not only traceability is thus guaranteed, but also we can expect a reduced handling times and an increased streamlining of the storage of samples that will improve the return on investment.ĭespite of improvements in treatment and diagnosis, breast cancer is still the major cause of death in women world-wide. One of the most interesting feature consists to record all contextual data associated with the samples, which constitute important parameters of the subsequent analyses. This system provides sufficient flexibility so that it can facilitate working with a wide variety of existing protocols. We designed and realized a software package tested from end to end, using open source licenses and cheap hardware, including small printers (mobile or not) and Raspberry Pis. ![]() Compared to existing solutions such as Laboratory Information Management Systems, we target a robust solution for labelling adapted to outdoor working conditions, with the management of storages and movements of samples. The French nodes of the European Long-Term Socio-Ecological Research Infrastructure called ”Zones Ateliers” propose a solution as generic as possible to this problem of monitoring of the samples and the data associated with them. ![]() Between the time when geolocalized specimens are taken, and the time the resulting data ends up in analysis published within a study, many manual operations take place that are prone to generate errors. Ensuring traceability of both field experimental data and laboratory sampling data for a reproducible research remains a challenge nowadays. ![]()
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