Posts Tagged ‘networks’

PRISM metadata analysis: Paul Revere identified by his connections to other Colonial terrorists. – Slate Magazine

Sunday, June 16th, 2013

Great primer on network theory MT @russskinner PRISM… analysis: Paul Revere identified by his connections to others http://bit.ly/11DK8R9
http://www.slate.com/articles/health_and_science/science/2013/06/prism_metadata_analysis_paul_revere_identified_by_his_connections_to_other.single.html

igraph

Friday, May 17th, 2013

http://igraph.sourceforge.net/

YaleNews | New institute will advance the interdisciplinary study of networks

Sunday, April 14th, 2013

http://news.yale.edu/2013/04/11/new-institute-will-advance-interdisciplinary-study-networks

metacyc/kegg comparison paper

Friday, April 12th, 2013

a detailed comparison of
MetaCyc versus KEGG:
MetaCyc contains more than 10 times as many metabolic pathways as KEGG “modules” (the comparable type of pathway in KEGG).
http://www.biomedcentral.com/1471-2105/14/112/abstract

Evolution versus “intelligen… Comput Syst Bioinformatics Conf. 2006 – PubMed – NCBI

Sunday, March 24th, 2013

http://www.ncbi.nlm.nih.gov/pubmed/17369648
Comput Syst Bioinformatics Conf. 2006:299-310.
Evolution versus “intelligent design”: comparing the topology of protein-protein interaction networks to the Internet.
Yang Q, Siganos G, Faloutsos M, Lonardi S.

correlated noise in TF co-association / FFLs

Saturday, March 9th, 2013

http://dx.doi.org/10.1016/j.bpj.2013.01.033

Cross Talk and Interference Enhance Information Capacity of a Signaling Pathway Sahand Hormoz
QT:”
A recurring motif in gene regulatory networks is transcription factors (TFs) that regulate each other and then bind to overlapping sites on DNA, where they interact and synergistically control transcription of a target gene. Here, we suggest that this motif maximizes information flow in a noisy network. Gene expression is an inherently noisy process due to thermal fluctuations and the small number of molecules involved. A consequence of multiple TFs interacting at overlapping binding sites is that their binding noise becomes correlated. Using concepts from information theory, we show that in general a signaling pathway transmits more information if 1), noise of one input is correlated with that of the other; and 2), input signals are not chosen independently.

Complex networks: Degrees of control : Nature : Nature Publishing Group

Sunday, March 3rd, 2013

http://www.nature.com/nature/journal/v473/n7346/full/473158a.html

Influential Few Predict Behavior of the Many: Scientific American

Thursday, February 28th, 2013

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

Predicting the Binding Patterns of Hub Proteins: A Study Using Yeast Protein Interaction Networks

Sunday, February 24th, 2013

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

Influential Few Predict Behavior of the Many: Scientific American

Tuesday, February 19th, 2013

http://www.scientificamerican.com/article.cfm?id=influential-few-predict-behavior