Archive for May, 2017
Standard conformations for the canonical structures of immunoglobulins. – PubMed – NCBI
Tuesday, May 16th, 2017Conformations of the third hypervariable region in the VH domain of immunoglobulins. – PubMed – NCBI
Tuesday, May 16th, 2017Was North Korea Behind Last Week’s Global Cyberattack? – The Atlantic
Tuesday, May 16th, 2017Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing (The Datasaurus Dozen) | Autodesk Research
Tuesday, May 16th, 2017Intersection of diverse neuronal genomes and neuropsychiatric disease: The Brain Somatic Mosaicism Network | Science
Tuesday, May 16th, 2017The #Brain #Somatic Mosaicism Network
http://science.ScienceMag.org/content/356/6336/eaal1641 Long lifespan of neurons accentuates impact of individual somatic mutations
QT:{{”
Neuropsychiatric disorders have a complex genetic architecture. Human genetic population-based studies have identified numerous heritable sequence and structural genomic variants associated with
susceptibility to neuropsychiatric disease. However, these germline variants do not fully account for disease risk. During brain development, progenitor cells undergo billions of cell divisions to generate the ~80 billion neurons in the brain. The failure to accurately repair DNA damage arising during replication,
transcription, and cellular metabolism amid this dramatic cellular expansion can lead to somatic mutations. Somatic mutations that alter subsets of neuronal transcriptomes and proteomes can, in turn, affect cell proliferation and survival and lead to neurodevelopmental disorders. The long life span of individual neurons and the direct relationship between neural circuits and behavior suggest that somatic mutations in small populations of neurons can significantly affect individual neurodevelopment. The Brain Somatic Mosaicism Network has been founded to study somatic mosaicism both in neurotypical human brains and in the context of complex neuropsychiatric disorders.” “}}
Bit by Bit: The Darwinian Basis of Life
Tuesday, May 16th, 2017Bit by Bit: The #Darwinian Basis of Life
http://www.PLoSBiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001323 Overview of the amount of generated information in replicating molecules
QT:{{”
“The number of possible compositions is xn. If these are all equally probable, then each has a prior probability of occurrence of x−n, and the information content (number of bits) associated with a particular realized composition is log2(xn). This can also be expressed as 2#bits = xn. For a binary polymer, #bits = n; for a nucleic acid polymer, #bits = 2n.
If the various compositions do not have the same prior probability of occurrence, then the information content associated with a particular realized composition must be calculated based on its prior probability of occurrence (pk), which ranges from 0 to 1. The information content (number of bits) associated with a particular realized composition is −log2(pk).”
“}}
Gerald F. Joyce
Published: May 8, 2012
https://doi.org/10.1371/journal.pbio.1001323
Naive Bayes Classification explained with Python code
Tuesday, May 16th, 2017Naive #Bayes Classification explained with Python code
http://www.DataScienceCentral.com/profiles/blogs/naive-bayes-classification-explained-with-python-code Nice worked example; good for #teaching HT @KirkDBorne