QT:” looked at the entire human metabolic network and found that concentrations of about 10 percent of the body’s 2,763 metabolites could be used to determine the levels of all the rest.”
http://www.scientificamerican.com/article.cfm?id=influential-few-predict-behavior
http://yalemedicine.yale.edu/winter2013//features/feature/145468 Yale scientists played a leading role in an international effort to map the 99 percent of the human genome that doesn’t produce
proteins—perhaps ending the notion that those regions are “junk.” By Colleen Shaddox
http://www.nature.com/news/big-biology-the-omes-puzzle-1.12484?WT.ec_id=NATURE-20130228 Where once there was the genome, now there are thousands of ’omes. Nature goes in search of the ones that matter.
by Monya Baker
27 February 2013
Old idea or miRNS sponging applied to a new class of RNAs — circRNAs
http://www.nature.com/nature/journal/vaop/ncurrent/full/nature11993.html?WT.ec_id=NATURE-20130228
http://www.nature.com/news/redefine-misconduct-as-distorted-reporting-1.12411 a nice jumping off point for supplemental materials guidelines.
used the singlish/multi concept. Then used machine learning to predict whether a protein is singlish or multi
PLOS ONE
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0056833
Taner Z. Sen
rnai, immuno, bact, viruses, nano