Peer-reviewed Articles - Computer sci

10 downloads
39 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
71 downloads
817 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
75 downloads
558 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
2 citations
206 downloads
1,282 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
156 downloads
646 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
367 downloads
454 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
135 downloads
1,054 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
1 citation
47 downloads
328 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
162 downloads
893 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
144 downloads
558 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
103 downloads
433 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
173 downloads
1,000 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
11 citations
3,348 downloads
14,177 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
598 downloads
1,208 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
242 downloads
1,527 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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