Trend Results : PLOS Computational Biology

Blog Post Results (1-20 of 113)


New method identifies brain regions most likely to cause epilepsy seizures

(PLOS) Scientists have developed a new way to detect which areas of the brain contribute most greatly to epilepsy seizures, according to a PLOS Computational Biology study. The strategy, devised by Marinho Lopes of the University of Exeter and colleagues, could help surgeons select specific brain areas for removal to stop seizures.

Nominations open for the PLOS Computational Biology Research Prize!

Have you read a 2016 PLOS Computational Biology Research Article that stood out for you in terms scientific excellence or impact on your field? Maybe you edited or reviewed a manuscript that caught your attention? If so,

Brain Network Eigenmodes in Health and Disease, Olfactory Learning Without Mushroom Bodies, and Assessing Overlap of Genomic Features: the PLOS Comp Biol June Issue

Check out our highlights from the PLOS Computational Biology June issue:   Brain Network Eigenmodes Provide a Robust and Compact Representation of the Structural Connectome in Health and Disease While the structural connectome of th...

ISMB/ECCB 2017 – Visit PLOS at Booth 16!

Heading to Prague for ISMB/ECCB 2017? Swing by Booth 16 and say hello to PLOS! PLOS Computational Biology Publications Manager Gary Beardmore will be manning the booth, alongside Catherine Nancarrow, Senior Managing Editor, and Beth

Immune system cell clones created before birth may last for decades

(PLOS) Key immune system cells produced before birth may survive well into adulthood, according to new research published in PLOS Computational Biology.

Simulated honeybees can use simple brain circuits for complex learning

Honeybees may not need key brain structures known as mushroom bodies in order to learn complex associations between odors and rewards, according to new research published in PLOS Computational Biology.

New brain network model could explain differences in brain injuries

(PLOS) Considering the brain's network of activity, rather than just individual regions, could help us understand why some brain injuries are much worse than others, according to a study published PLOS Computational Biology by Maxwell B. Wang, Julia Owen, and Pratik Mukherjee from University of California, San Francisco, and Ashish Raj from Weill Cornell Medicine.

Modelling Atherosclerotic Plaque Formation, Tracking Neurons, and Timestamping Molecular Recorders: the PLOS Comp Biol May issue

Check out our highlights from the PLOS Computational Biology May issue:   An agent-based model of leukocyte transendothelial migration during atherogenesis Atherosclerosis affects millions of people worldwide and is characterized by a maladaptive build-up of

Nanopore technology makes leap from DNA sequencing to identifying proteins

In the May issue of PLOS Computational Biology, scientists from UC San Diego and the University of Notre Dame report on a study that could open up the field for nanopore-based protein identification – and eventually proteomic profiling of large numbers of proteins in complex mixtures of different types of molecules.

Multiscale modeling reveals key events during early atherosclerotic plaque development

(PLOS) A new computational modeling technique could indicate when atherosclerotic plaques will likely undergo rapid growth, reports a study published this week in PLOS Computational Biology.

New algorithm tracks neurons in bendy brain of freely crawling worm

(PLOS) Scientists at Princeton University have developed a new algorithm to track neurons in the brain of the worm Caenorhabditis elegans while it crawls. The algorithm, presented in PLOS Computational Biology by Jeffrey Nguyen and colleagues, could save hundreds of hours of manual labor in studies of animal behavior.

Resource availability drives person-to-person variations in microbes living in the body

The collection of microbial species found in the human body varies from person to person, and new research published in PLOS Computational Biology suggests that a significant part of this variation can be explained by variability in shared resources available to the microbes.

Scientists ID two molecules that inhibit proteins involved in chronic inflammatory disease

(PLOS) Scientists have identified two small molecules that could be pursued as potential treatments for chronic inflammatory diseases. According to a paper published in PLOS Computational Biology, the researchers singled out the molecules using a new drug screening approach they developed.

25 is 'golden age' for the ability to make random choices

People's ability to make random choices or mimic a random process, such as coming up with hypothetical results for a series of coin flips, peaks around age 25, according to a study published in PLOS Computational Biology.

Interpreting Electrocardiograms, Designing CRISPR sgRNAs, and Improving New Analyses of Old MRI Data: the PLOS Comp Biol March issue

Check out our highlights from the PLOS Computational Biology March issue:   Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs: A computational study Atrial tachy-arrhyth...

Prudence, impatience and laziness: Are these contagious personality traits?

(PLOS) People tend to unconsciously imitate others' prudent, impatient or lazy attitudes, according to a study published in PLOS Computational Biology. 'Prudence,' 'impatience' or 'laziness' are typically thought of as entrenched personality traits that guide how people weigh the cost of risk, delay and effort (respectively). Show More Summary

Fighting malaria through mathematical analysis of parasite's metabolism

(PLOS) A new mathematical model, based on the deadliest malaria parasite, Plasmodium falciparum, could help develop antimalarials by identifying key metabolic targets, according to a study published in PLOS Computational Biology by Vassily Hatzimanikatis at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, and colleagues.

Education in Computational Biology Today and Tomorrow

5 months agoAcademics : PLOS: Sci-ed

0000-0002-8715-2896 An archived “Perspective on science education” from the PLOS Computational Biology journal editors, of possible interest to readers of this blog. –PLOSBLOGS   Citation: Fox JA, Ouellette BFF (2013) Education in Computational Biology Today

New analysis method of metabolites accurately predicts whether a child has autism

(PLOS) Scientists have developed a new, highly accurate method that analyzes metabolic biomarkers to assess whether a child is on the autism spectrum, according to a study published in PLOS Computational Biology.

How big brains evolved could be revealed by new mathematical model

(PLOS) A new mathematical model could help clarify what drove the evolution of large brains in humans and other animals, according to a study published in PLOS Computational Biology.

Copyright © 2015 Regator, LLC