Patients with Metastatic Melanoma Receiving Anticancer Drugs: Changes in Overall Survival, 2010-2017.

Immune checkpoint inhibitors and targeted therapies have profoundly altered the management of several cancers over the past decade. Metastatic melanoma has been at the forefront of these changes. We provide here a nationwide overview and an assessment of changes in survival in France.

French administrative health care database (SNDS): The value of its enrichment.

SNIIRAM/SNDS, the French administrative health care database, covers around 99% of the population. Its main limitation is the absence of clinical information and biological results. This report exposes the value of SNIIRAM/SNDS enrichment by external databases, and the linkage issues.

From medico-administrative databases analysis to care trajectories analytics: an example with the French SNDS.

Medico-administrative data like SNDS (Système National de Données de Santé) are not collected initially for epidemiological purposes. Moreover, the data model and the tools proposed to SNDS users make their in-depth exploitation difficult. We propose a data model, called the ePEPS model, based on healthcare trajectories to provide a medical view of raw data.

A visual approach of care pathways from the French nationwide SNDS database - from population to individual records: the ePEPS toolbox.

Secondary use of medical and administrative databases has become a powerful tool for epidemiological studies. In that respect, the recent access opening of French nationwide health record database or Système National des Données de Santé is a great opportunity to carry out comprehensive health studies at the country level. However, using this database is far from being straightforward for nonexpert data scientists; so, dedicated tools needed to be developed.

Reference-free compression of high throughput sequencing data with a probabilistic de Bruijn graph.

Background: Data volumes generated by next-generation sequencing (NGS) technologies is now a major concern for both data storage and transmission. This triggered the need for more efficient methods than general purpose compression tools, such as the widely used gzip method.

Results: We present a novel reference-free method meant to compress data issued from high throughput sequencing technologies.

GATB: Genome Assembly & Analysis Tool Box.

Motivation: Efficient and fast next-generation sequencing (NGS) algorithms are essential to analyze the terabytes of data generated by the NGS machines. A serious bottleneck can be the design of such algorithms, as they require sophisticated data structures and advanced hardware implementation.

Results: We propose an open-source library dedicated to genome assembly and analysis to fasten the process of developing efficient software.