Forum: What Are The Most Influential Bioinformatics/Computational Biology Papers Of 2016?
17
gravatar for dago
19 days ago by
dago2.0k
Germany
dago2.0k 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 days ago • written 19 days ago by dago2.0k

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

ADD REPLYlink written 13 days ago by genomax220k
8
gravatar for brentp
18 days ago by
brentp21k
Salt Lake City, UT
brentp21k 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 18 days ago • written 18 days ago by brentp21k

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 18 days ago by WouterDeCoster11k
2
gravatar for Diwan
8 days ago by
Diwan320
United States
Diwan320 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 8 days ago by Diwan320
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