Results 51 to 60 of about 933,309 (343)
Correction: Ten simple rules for structuring papers. [PDF]
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1005619.].
PLOS Computational Biology Staff
doaj +1 more source
Towards a lightweight generic computational grid framework for biological research [PDF]
, 2008 Background: An increasing number of scientific research projects require access to large-scale computational resources. This is particularly true in the biological field, whether to facilitate the analysis of large high-throughput data sets, or to ...
Halling-Brown, Mark D. +2 more
core +3 more sources
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1005212.].
PLOS Computational Biology Staff
doaj +1 more source
Computational Biology and Bioinformatics in Nigeria [PDF]
PLoS Computational Biology, 2014 Over the past few decades, major advances in the field of molecular biology, coupled with advances in genomic technologies, have led to an explosive growth in the biological data generated by the scientific community. The critical need to process and analyze such a deluge of data and turn it into useful knowledge has caused bioinformatics to gain ...
Bourne, Philip E. +10 more
openaire +6 more sources
occumb: An R package for site occupancy modeling of eDNA metabarcoding data
Population Ecology, EarlyView.This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley +1 more source
Correction: Improving Collective Estimations Using Resistance to Social Influence. [PDF]
PLoS Computational Biology, 2016 [This corrects the article DOI: 10.1371/journal.pcbi.1004594.].
PLOS Computational Biology Staff
doaj +1 more source
Computational challenges of systems biology [PDF]
, 2004 Progress in the study of biological systems such as the heart, brain, and liver will require computer scientists to work closely with life scientists and mathematicians.
Finkelstein, A. +6 more
core
The rise of computational biology
Nature Reviews Molecular Cell Biology, 2002 The year 2001 saw a remarkable burst of interest in biological simulation, with several international meetings on the subject, and the inclusion, by journals, of web site references from which published models can be downloaded. So, why has all this happened so suddenly?
openaire +4 more sources
Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors
Population Ecology, EarlyView.Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley +1 more source
Software that goes with the flow in systems biology [PDF]
, 2010 A recent article in BMC Bioinformatics describes new advances in workflow systems for computational modeling in systems biology. Such systems can accelerate, and improve the consistency of, modeling through automation not only at the simulation and ...
A Funahashi +14 more
core +3 more sources