Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Partnerships and Cooperations
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Section: New Results

General comments

We present in this section the main results obtained in 2016. Some were already in preparation or submitted at the end of 2015. This will be indicated whenever it is the case.

We tried to organise the results following the five main axes of research of the team. Clearly, in some cases, a result obtained overlaps more than one axis. We chose the one that could be seen as the main one concerned by such results.

We did not indicate here the results on more theoretical aspects of computer science if it did not seem for now that they could be relevant in contexts related to computational biology. Actually, we do believe those on rumour spreading (by Pierluigi Crescenzi) [9] or on general network analysis (by Pierluigi Crescenzi or Roberto Grossi) [31], [36], [40], [39], [37], [38], [10], [42] could in the future become relevant for life sciences (biology or ecology). In the other direction, algorithmic ideas that were developed in the context of a problem in life sciences could prove useful for solving more general problems (possibly with other applications). This was the case of some of the ideas explored in previous years to deal with de Bruijn graphs in the context of NGS analysis that led to the team fruitfully collaborating with a group of researchers at the ETH in Switzerland on a problem related to transport systems [34].

Below however, we preferred to only indicate the theoretical results related to problems closely resembling questions that have already been addressed by us in computational biology. Notice that such CS results concern not only cross-fertilising issues among different computational approaches, and we therefore extended the title of this axis for the purpose of presenting such results, for now purely theoretical.

A few other results are not mentioned either in this report, not because the corresponding work is not important, but because it was likewise more specialised, or the work represented a survey.