A new year just finished and many new exciting discoveries/programs/methods have been published.
In consistency with previous Discussions
What do you think were the most influential Bioinformatics/Computational Biology Papers/methods/discovery Of 2016?
Certainly the ExAC paper: http://www.nature.com/nature/journal/v536/n7616/full/nature19057.html must be one of the top.
published in August and cited > 200 times already.
It's a game-changer for rare disease.
Actually, first published/posted in October 2015 (damn that took long to get it out) http://biorxiv.org/content/early/2015/10/30/030338
If popular 2016 papers might be of interest too, here is a list of popular 2016 articles in BMC Systems biology: http://blogs.biomedcentral.com/bmcseriesblog/2017/01/13/bmc-systems-biology-2016-review/
Articles in the list are:
Systems biology of the structural proteome. http://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0271-6
Feedback control in planarian stem cell systems. http://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0261-8
Comparing Alzheimer’s and Parkinson’s diseases networks using graph communities structure. http://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0270-7
Where next for the reproducibility agenda in computational biology? http://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0288-x
Integrating mutation and gene expression cross-sectional data to infer cancer progression. http://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0255-6
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So far 20 upvotes in total but only one actual answer.