PLoS Computational Biology is a peer-reviewed computational biology journal established in 2005 and published by the nonprofit Public Library of Science in association with the International Society for Computational Biology. Its Editor in Chief is Philip Bourne. All articles are open access and licensed under the Creative Commons Attribution License. The journal is well-known beyond its core field for its Ten Simple Rules series of articles that capture the essence of selected aspects of research in computational biology or in science more generally, e.g. how to present a poster, how to collaborate, or how to edit Wikipedia. Due to their free licensing, files from PLoS Computational Biology can be reused in places other than the journal s website, e.g. to illustrate Wikipedia articles.
Evolving our way to artificial intelligence
Researcher David Silver and colleagues designed a computer program capable of beating a top-level Go player – a marvelous technological feat and important threshold in the development of artificial intelligence, or AI. ...
Feb 05, 2016
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Discovery of how humans experience the smell of death could save lives
"And the sky was watching that superb cadaver Blossom like a flower. So frightful was the stench that you believed You'd faint away upon the grass. The blow-flies were buzzing round that putrid belly, From which came forth ...
'Bat detectives' train new algorithms to discern bat calls in noisy recordings
Using data collected by citizen scientists, researchers have developed new, open-source algorithms to automatically detect bat echolocation calls in audio recordings. Oisin Mac Aodha, formerly of University College London, ...
Research showing why hierarchy exists will aid the development of artificial intelligence
New research explains why so many biological networks, including the human brain (a network of neurons), exhibit a hierarchical structure, and will improve attempts to create artificial intelligence. The study, published ...
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 ...
Scientists create first viable mathematical model of a key anti-Salmonella defense system
Scientists have created the first validated mathematical model of an important cellular defense mechanism against the bacterium Salmonella, according to a new study in PLOS Computational Biology.
Mouth clicks used in human echolocation captured in unprecedented detail
Like some bats and marine mammals, people can develop expert echolocation skills, in which they produce a clicking sound with their mouths and listen to the reflected sound waves to "see" their surroundings. A new study published ...
Researchers are using machine learning to understand microbial relationships
The ecosystem in and around the Amazon River is the most bio-diverse in the world. But it has some competition when considering the roughly thirty feet of the human gastrointestinal (GI) tract. This microbiome—the sum total ...
Insect vector feeding recognized by machine learning
Scientists have used machine learning algorithms to teach computers to recognize the insect feeding patterns involved in pathogen transmission. The study, published in PLOS Computational Biology, also uncovers plant traits ...
Geometry, programmed death might have enabled evolution of multicellularity
Geometry and programmed cell death may have helped along the evolution of multicellular life, according to new research led by SFI Omidyar Fellow Eric Libby.
