Forum: What Are The Most Influential Bioinformatics/Computational Biology Papers Of 2016?
18
gravatar for dago
11 months ago by
dago2.4k
Germany
dago2.4k wrote:

A new year just finished and many new exciting discoveries/programs/methods have been published.

In consistency with previous Discussions What Are The Most Influential Bioinformatics/Computational Biology Papers Of 2014?

What Are The Most Influential Bioinformatics/Computational Biology Papers Of 2011?

Best Papers On Computational Biology From 2010

What Are The Most Influential Bioinformatics/Computational Biology Papers Of 2015?

What do you think were the most influential Bioinformatics/Computational Biology Papers/methods/discovery Of 2016?

ADD COMMENTlink modified 11 months ago • written 11 months ago by dago2.4k

So far 20 upvotes in total but only one actual answer.

ADD REPLYlink written 11 months ago by genomax39k
10
gravatar for brentp
11 months ago by
brentp22k
Salt Lake City, UT
brentp22k wrote:

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.

ADD COMMENTlink modified 11 months ago • written 11 months ago by brentp22k

Actually, first published/posted in October 2015 (damn that took long to get it out) http://biorxiv.org/content/early/2015/10/30/030338

ADD REPLYlink written 11 months ago by WouterDeCoster24k
3
gravatar for Diwan
11 months ago by
Diwan450
United States
Diwan450 wrote:

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:

  1. Systems biology of the structural proteome. http://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0271-6

  2. Feedback control in planarian stem cell systems. http://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0261-8

  3. Comparing Alzheimer’s and Parkinson’s diseases networks using graph communities structure. http://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0270-7

  4. Where next for the reproducibility agenda in computational biology? http://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0288-x

  5. Integrating mutation and gene expression cross-sectional data to infer cancer progression. http://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-016-0255-6

ADD COMMENTlink written 11 months ago by Diwan450
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