Forum: What Are The Most Influential Bioinformatics/Computational Biology Papers Of 2016?
18
gravatar for dago
3.8 years ago by
dago2.6k
Germany
dago2.6k 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 3.8 years ago • written 3.8 years ago by dago2.6k

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

ADD REPLYlink written 3.8 years ago by genomax91k
10
gravatar for brentp
3.8 years ago by
brentp23k
Salt Lake City, UT
brentp23k 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 3.8 years ago • written 3.8 years ago by brentp23k

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 3.8 years ago by WouterDeCoster44k
3
gravatar for Diwan
3.8 years ago by
Diwan590
United States
Diwan590 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 3.8 years ago by Diwan590
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