Peer-reviewed Articles - Biology

25 downloads
191 views

In a previous report, we explored the serverless OpenHealth approach to the Web as a Global Compute space. That approach relies on the modern browser full stack, and, in particular, its configuration for application assembly by code injection. The opportunity,...

["Bioinformatics","Epidemiology","Public Health","Computational Science","Data Science"]
doi:10.7717/peerj.6230
38 downloads
199 views

Background Researches on artificial livers greatly contribute to the clinical treatments for liver failure. This study aimed to evaluate the research output of artificial livers and citations from 2004 to 2017 through a bibliometric analysis. Methods A list of...

["Gastroenterology and Hepatology","Statistics","Data Science"]
doi:10.7717/peerj.6178
31 downloads
190 views

Identifying cis-acting elements and understanding regulatory mechanisms of a gene is crucial to fully understand the molecular biology of an organism. In general, it is difficult to identify previously uncharacterised cis-acting elements with an unknown consensus...

["Bioinformatics","Evolutionary Studies","Genetics","Virology","Data Science"]
doi:10.7717/peerj.6176
119 downloads
993 views

Modern scientific studies from many diverse areas of research abound with multiple hypothesis testing concerns. The false discovery rate (FDR) is one of the most commonly used approaches for measuring and controlling error rates when performing multiple tests....

["Bioinformatics","Statistics","Data Science"]
doi:10.7717/peerj.6035
64 downloads
402 views

Multimodal imaging enables sensitive measures of the architecture and integrity of the human brain, but the high-dimensional nature of advanced brain imaging features poses inherent challenges for the analyses and interpretations. Multivariate age prediction reduces...

["Neuroscience","Psychiatry and Psychology","Radiology and Medical Imaging","Data Science"]
doi:10.7717/peerj.5908
124 downloads
601 views

Background Functional groups serve two important functions in ecology: they allow for simplification of ecosystem models and can aid in understanding diversity. Despite their important applications, there has not been a universally accepted method of how to define...

["Ecology","Marine Biology","Statistics","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5795
74 downloads
419 views

Dramatic increases in data produced by next-generation sequencing (NGS) technologies demand data compression tools for saving storage space. However, effective and efficient data compression for genome sequencing data has remained an unresolved challenge in NGS...

["Bioinformatics","Biotechnology","Computational Science","Data Science"]
doi:10.7717/peerj.5611
128 downloads
531 views

Background The use of visible-near infrared (vis-NIR) spectroscopy for rapid soil characterisation has gained a lot of interest in recent times. Soil spectra absorbance from the visible-infrared range can be calibrated using regression models to predict a set of...

["Soil Science","Statistics","Computational Science","Data Science"]
doi:10.7717/peerj.5722
58 downloads
265 views

Background The institutional affiliations and associated collaborative networks that scientists foster during their research careers are salient in the production of high-quality science. The phenomenon of multiple institutional affiliations and its relationship...

["Science and Medical Education","Science Policy","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5664
151 downloads
1,161 views

Background High-throughput technologies are rapidly generating large amounts of diverse omics data. Although this offers a great opportunity, it also poses great challenges as data analysis becomes more complex. The purpose of this study was to identify the main...

["Bioinformatics","Genomics","Human\u2013Computer Interaction","Data Science"]
doi:10.7717/peerj.5553
143 downloads
722 views

Advances in sequencing techniques have led to exponential growth in biological data, demanding the development of large-scale bioinformatics experiments. Because these experiments are computation- and data-intensive, they require high-performance computing techniques...

["Bioinformatics","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5551
3 citations
419 downloads
2,276 views

High-depth sequencing of universal marker genes such as the 16S rRNA gene is a common strategy to profile microbial communities. Traditionally, sequence reads are clustered into operational taxonomic units (OTUs) at a defined identity threshold to avoid sequencing...

["Ecology","Genomics","Microbiology","Mycology","Data Science"]
doi:10.7717/peerj.5364
304 downloads
959 views

Background There are many problems with fitness trackers, such as device usability, which limit their large-scale application, and relevant studies are limited in terms of their sample size and evaluation methods. The purpose of the study was to evaluate the perceived...

["Pharmacology","Public Health","Human-Computer Interaction","Computational Science","Data Science"]
doi:10.7717/peerj.5350
411 downloads
646 views

Managing injury risk requires an understanding of how and when athletes sustain certain injuries. Such information guides organisations in establishing evidence-based priorities and expectations for managing injury risk. In order to minimise the impact of sports...

["Epidemiology","Health Policy","Pathology","Public Health","Data Science"]
doi:10.7717/peerj.4895
2 citations
212 downloads
1,476 views

The demand for reproducible research is on the rise in disciplines concerned with data analysis and computational methods. Therefore, we reviewed current recommendations for reproducible research and translated them into criteria for assessing the reproducibility...

["Science Policy","Computational Science","Data Science","Spatial and Geographic Information Science"]
doi:10.7717/peerj.5072

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