Peer-reviewed Articles - Biology

14 downloads
73 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
62 downloads
366 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
39 downloads
194 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
102 downloads
1,061 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
97 downloads
601 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
264 downloads
1,533 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
205 downloads
728 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
378 downloads
497 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
148 downloads
1,193 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
49 downloads
358 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
184 downloads
966 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
153 downloads
593 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
114 downloads
473 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
203 downloads
1,080 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
12 citations
3,702 downloads
15,361 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

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