Peer-reviewed Articles - Biology

111 downloads
856 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
72 downloads
505 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
353 downloads
363 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
110 downloads
907 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
34 downloads
275 views

Historical GIS involves applying GIS to historical research. Using a unique method, I recovered historical tree survey information stored in bar chart figures of a 1956 publication. I converted PDF files to TIF files, which is a format for a GIS layer. I then employed...

["Biogeography","Bioinformatics","Data Science","Spatial and Geographic Information Science"]
doi:10.7717/peerj.5158
122 downloads
744 views

Background Obesity is a key public health problem. The advancement of gut microbiota research sheds new light on this field. This article aims to present the research trends in global intestinal microbiota studies within the domain of obesity research. Methods...

["Evidence Based Medicine","Gastroenterology and Hepatology","Global Health","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5091
113 downloads
472 views

Low-cost phenotyping using proximal sensors is increasingly becoming popular in plant breeding. As these techniques generate a large amount of data, analysis pipelines that do not require expertise in computer programming can benefit a broader user base. In this...

["Agricultural Science","Bioinformatics","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5031
84 downloads
373 views

We applied multi-omics approaches (transcriptomics, proteomics and metabolomics) to study the effect of iron starvation on the Gram-positive human pathogen Streptococcus pneumoniae to elucidate global changes in the bacterium in a condition similar to what can...

["Biochemistry","Microbiology","Data Science"]
doi:10.7717/peerj.4966
1 citation
148 downloads
871 views

Malaria is a blood disease caused by the Plasmodium parasites transmitted through the bite of female Anopheles mosquito. Microscopists commonly examine thick and thin blood smears to diagnose disease and compute parasitemia. However, their accuracy depends on smear...

["Infectious Diseases","Computational Science","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.4568
8 citations
2,879 downloads
12,501 views

Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need for large-scale, up-to-date, and reproducible studies assessing the prevalence and characteristics of OA. We address this need using oaDOI, an open online service that...

["Legal Issues","Science Policy","Data Science"]
doi:10.7717/peerj.4375
512 downloads
1,123 views

Sigmoidal and double-sigmoidal dynamics are commonly observed in many areas of biology. Here we present sicegar, an R package for the automated fitting and classification of sigmoidal and double-sigmoidal data. The package categorizes data into one of three categories,...

["Bioinformatics","Computational Biology","Mathematical Biology","Statistics","Data Science"]
doi:10.7717/peerj.4251
215 downloads
1,433 views

A significant portion of biomedical literature is represented in a manner that makes it difficult for consumers to find or aggregate content through a computational query. One approach to facilitate reuse of the scientific literature is to structure this information...

["Bioinformatics","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.4201

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