Trend Results : PLOS Computational Biology

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New algorithm recognizes distinct dolphin clicks in underwater recordings

Scientists have developed a new algorithm that can identify distinct dolphin click patterns among millions of clicks in recordings of wild dolphins. This approach, presented in PLOS Computational Biology by Kaitlin Frasier of Scripps Institution of Oceanography, California, and colleagues, could potentially help distinguish between dolphin species in the wild.

Shifting protein networks in breast cancer may alter gene function

(PLOS) A given gene may perform a different function in breast cancer cells than in healthy cells due to changes in networks of interacting proteins, according to a new study published in PLOS Computational Biology.

Announcing the 2017 PLOS Computational Biology Research Prize Winners

Earlier this year, PLOS Computational Biology launched the “PLOS Computational Biology Research Prize” program with the aim of recognizing the journal’s best Research Articles published last year (2016) in three prize categories: Breakthrough Advance/Innovation, Exemplary Methods/Software,

Schooling fish mainly react to one or two neighbors at a time

The study, published in PLOS Computational Biology, developed a new method combining behavioral analyses with a computer model to map the chain of direct interactions in a school of fish. The international research team, that includes the University of Bristol, found individual fish pay attention to its neighbours when the school moves together.

Flu pandemic emergence, genesis of thalamic oscillations, making sense of tumor heterogeneity, ten simple rules for responding to reviewers and structuring papers

Check out our highlights from the PLOS Computational Biology October issue:     Seasonality in risk of pandemic influenza emergence Influenza pandemics emerge via genomic reassortment between circulating human and animal strains. The risk of

New machine learning system can automatically identify shapes of red blood cells

Using a computational approach known as deep learning, scientists have developed a new system to classify the shapes of red blood cells in a patient's blood. The findings, published in PLOS Computational Biology, could potentially help doctors monitor people with sickle cell disease.

Modeling Antibiotic Treatment in Hospitals, Inferring Synaptic Plasticity from Spiking, and Synthesizing Developmental Trajectories

Check out our highlights from the PLOS Computational Biology September issue:   Modeling antibiotic treatment in hospitals: A systematic approach shows benefits of combination therapy over cycling, mixing, and mono-drug therapies   For life-threatening infections,

A neuron’s eye view, recovering from intestinal cleanout, and models of cancer cell line metabolism

Check out our highlights from the PLOS Computational Biology August issue:   A systems approach reveals distinct metabolic strategies among the NCI-60 cancer cell lines Altered metabolism is characteristic of many human diseases, including cancer,

Mapping high-throughput data onto networks, modelling bacteria in 3D Colonies, and developing algorithms for Molecular Dynamics

Check out our highlights from the PLOS Computational Biology July issue:   PCSF: An R-package for network-based interpretation of high-throughput data With recent technological developments a vast amount of high-throughput data has been profiled in

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.

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