Aneuvis: web-based exploration of numerical chromosomal variation in single cells
Numerical chromosomal variation is a hallmark of populations of malignant cells. Identifying the factors that promote numerical chromosomal variation is important for understanding mechanisms of carcinogenesis... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 17, 2019 Category: Bioinformatics Authors: Daniel G. Piqu é, Grasiella A. Andriani, Elaine Maggi, Samuel E. Zimmerman, John M. Greally, Cristina Montagna and Jessica C. Mar Tags: Software Source Type: research

Machine learning with the TCGA-HNSC dataset: improving usability by addressing inconsistency, sparsity, and high-dimensionality
In the era of precision oncology and publicly available datasets, the amount of information available for each patient case has dramatically increased. From clinical variables and PET-CT radiomics measures to ... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 17, 2019 Category: Bioinformatics Authors: Michael C. Rendleman, John M. Buatti, Terry A. Braun, Brian J. Smith, Chibuzo Nwakama, Reinhard R. Beichel, Bart Brown and Thomas L. Casavant Tags: Research article Source Type: research

Performance assessment of variant calling pipelines using human whole exome sequencing and simulated data
Whole exome sequencing (WES) is a cost-effective method that identifies clinical variants but it demands accurate variant caller tools. Currently available tools have variable accuracy in predicting specific c... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 17, 2019 Category: Bioinformatics Authors: Manojkumar Kumaran, Umadevi Subramanian and Bharanidharan Devarajan Tags: Research article Source Type: research

Laboratory information management software for engineered mini-protein therapeutic workflow
Protein based therapeutics are one of the fastest growing classes of novel medical interventions in areas such as cancer, infectious disease, and inflammation. Protein engineering plays an important role in th... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 17, 2019 Category: Bioinformatics Authors: Mi-Youn Brusniak, Hector Ramos, Bernard Lee and James M. Olson Tags: Software Source Type: research

FastProNGS: fast preprocessing of next-generation sequencing reads
Next-generation sequencing technology is developing rapidly and the vast amount of data that is generated needs to be preprocessed for downstream analyses. However, until now, software that can efficiently mak... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 17, 2019 Category: Bioinformatics Authors: Xiaoshuang Liu, Zhenhe Yan, Chao Wu, Yang Yang, Xiaomin Li and Guangxin Zhang Tags: Software Source Type: research

Filtering procedures for untargeted LC-MS metabolomics data
Untargeted metabolomics datasets contain large proportions of uninformative features that can impede subsequent statistical analysis such as biomarker discovery and metabolic pathway analysis. Thus, there is a... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 14, 2019 Category: Bioinformatics Authors: Courtney Schiffman, Lauren Petrick, Kelsi Perttula, Yukiko Yano, Henrik Carlsson, Todd Whitehead, Catherine Metayer, Josie Hayes, Stephen Rappaport and Sandrine Dudoit Tags: Methodology article Source Type: research

CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks
Deep learning techniques have been successfully applied to bioimaging problems; however, these methods are highly data demanding. An approach to deal with the lack of data and avoid overfitting is the applicat... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 13, 2019 Category: Bioinformatics Authors: Ángela Casado-García, César Domínguez, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Eloy Mata and Vico Pascual Tags: Software Source Type: research

Bayesian model selection for the Drosophila gap gene network
The gap gene system controls the early cascade of the segmentation pathway in Drosophila melanogaster as well as other insects. Owing to its tractability and key role in embryo patterning, this system has been th... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 13, 2019 Category: Bioinformatics Authors: Asif Zubair, I. Gary Rosen, Sergey V. Nuzhdin and Paul Marjoram Tags: Research article Source Type: research

Identification of critical connectors in the directed reaction-centric graphs of microbial metabolic networks
Detection of central nodes in asymmetrically directed biological networks depends on centrality metrics quantifying individual nodes ’ importance in a network. In topological analyses on metabolic networks, var... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 13, 2019 Category: Bioinformatics Authors: Eun-Youn Kim, Daniel Ashlock and Sung Ho Yoon Tags: Research article Source Type: research

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Na ïve Bayes classifier
Ontology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the a... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 13, 2019 Category: Bioinformatics Authors: Ying Shen, Yaliang Li, Hai-Tao Zheng, Buzhou Tang and Min Yang Tags: Research article Source Type: research

fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies
Parametric feature selection methods for machine learning and association studies based on genetic data are not robust with respect to outliers or influential observations. While rank-based, distribution-free ... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 13, 2019 Category: Bioinformatics Authors: Jiaxing Lin, Alexander Sibley, Ivo Shterev, Andrew Nixon, Federico Innocenti, Cliburn Chan and Kouros Owzar Tags: Software Source Type: research

WellInverter: a web application for the analysis of fluorescent reporter gene data
Fluorescent reporter genes have become widely used for monitoring gene expression in living cells. When a microbial strain carrying a reporter gene is grown in a microplate reader, the fluorescence and the abs... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 11, 2019 Category: Bioinformatics Authors: Yannick Martin, Michel Page, Christophe Blanchet and Hidde de Jong Tags: Software Source Type: research

Taxonomy based performance metrics for evaluating taxonomic assignment methods
Metagenomics experiments often make inferences about microbial communities by sequencing 16S and 18S rRNA, and taxonomic assignment is a fundamental step in such studies. This paper addresses the weaknesses in... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 11, 2019 Category: Bioinformatics Authors: Chung-Yen Chen, Sen-Lin Tang and Seng-Cho T. Chou Tags: Methodology article Source Type: research

ProteinNet: a standardized data set for machine learning of protein structure
Rapid progress in deep learning has spurred its application to bioinformatics problems including protein structure prediction and design. In classic machine learning problems like computer vision, progress has... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 11, 2019 Category: Bioinformatics Authors: Mohammed AlQuraishi Tags: Database Source Type: research

The Kendrick modelling platform: language abstractions and tools for epidemiology
Mathematical and computational models are widely used to study the transmission, pathogenicity, and propagation of infectious diseases. Unfortunately, complex mathematical models are difficult to define, reuse... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 11, 2019 Category: Bioinformatics Authors: Mai Anh BUI T., Nick Papoulias, Serge Stinckwich, Mikal Ziane and Benjamin Roche Tags: Software Source Type: research

Integrated entropy-based approach for analyzing exons and introns in DNA sequences
Numerous essential algorithms and methods, including entropy-based quantitative methods, have been developed to analyze complex DNA sequences since the last decade. Exons and introns are the most notable compo... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 10, 2019 Category: Bioinformatics Authors: Junyi Li, Li Zhang, Huinian Li, Yuan Ping, Qingzhe Xu, Rongjie Wang, Renjie Tan, Zhen Wang, Bo Liu and Yadong Wang Tags: Research Source Type: research

Probe computing model based on small molecular switch
DNA is a promising candidate for the construction of biological devices due to its unique properties, including structural simplicity, convenient synthesis, high flexibility, and predictable behavior. And DNA ... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 10, 2019 Category: Bioinformatics Authors: Yanan Wang, Qi Lv, Yingying Zhang, Luhui Wang and Yafei Dong Tags: Research Source Type: research

Preface
(Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 10, 2019 Category: Bioinformatics Authors: Henry Han and Wenbin Liu Tags: Introduction Source Type: research

A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization
Gene selection is one of the critical steps in the course of the classification of microarray data. Since particle swarm optimization has no complicated evolutionary operators and fewer parameters need to be a... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 10, 2019 Category: Bioinformatics Authors: Fei Han, Di Tang, Yu-Wen-Tian Sun, Zhun Cheng, Jing Jiang and Qiu-Wei Li Tags: Research Source Type: research

Dynamic genome-scale cell-specific metabolic models reveal novel inter-cellular and intra-cellular metabolic communications during ovarian follicle development
The maturation of the female germ cell, the oocyte, requires the synthesis and storing of all the necessary metabolites to support multiple divisions after fertilization. Oocyte maturation is only possible in ... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 10, 2019 Category: Bioinformatics Authors: Beatriz Pe ñalver Bernabé, Ines Thiele, Eugene Galdones, Anaar Siletz, Sriram Chandrasekaran, Teresa K. Woodruff, Linda J. Broadbelt and Lonnie D. Shea Tags: Research article Source Type: research

A computational method to aid the design and analysis of single cell RNA-seq experiments for cell type identification
The advent of single cell RNA sequencing (scRNA-seq) enabled researchers to study transcriptomic activity within individual cells and identify inherent cell types in the sample. Although numerous computational... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 6, 2019 Category: Bioinformatics Authors: Douglas Abrams, Parveen Kumar, R. Krishna Murthy Karuturi and Joshy George Tags: Research Source Type: research

MATria: a unified centrality algorithm
Computing centrality is a foundational concept in social networking that involves finding the most “central” or important nodes. In some biological networks defining importance is difficult, which then creates ch... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 6, 2019 Category: Bioinformatics Authors: Trevor Cickovski, Vanessa Aguiar-Pulido and Giri Narasimhan Tags: Methodology Source Type: research

Multi-allelic positional Burrows-Wheeler transform
Recent advances in whole-genome sequencing and SNP array technology have led to the generation of a large amount of genotype data. Large volumes of genotype data will require faster and more efficient methods ... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 6, 2019 Category: Bioinformatics Authors: Ardalan Naseri, Degui Zhi and Shaojie Zhang Tags: Research Source Type: research

Attenuating dependence on structural data in computing protein energy landscapes
Nearly all cellular processes involve proteins structurally rearranging to accommodate molecular partners. The energy landscape underscores the inherent nature of proteins as dynamic molecules interconverting ... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 6, 2019 Category: Bioinformatics Authors: David Morris, Tatiana Maximova, Erion Plaku and Amarda Shehu Tags: Research Source Type: research

Deep convolutional neural networks for mammography: advances, challenges and applications
The limitations of traditional computer-aided detection (CAD) systems for mammography, the extreme importance of early detection of breast cancer and the high impact of the false diagnosis of patients drive re... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 6, 2019 Category: Bioinformatics Authors: Dina Abdelhafiz, Clifford Yang, Reda Ammar and Sheida Nabavi Tags: Research Source Type: research

Detection and visualization of communities in mass spectrometry imaging data
The spatial distribution and colocalization of functionally related metabolites is analysed in order to investigate the spatial (and functional) aspects of molecular networks. We propose to consider community ... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 4, 2019 Category: Bioinformatics Authors: Karsten W üllems, Jan Kölling, Hanna Bednarz, Karsten Niehaus, Volkmar H. Hans and Tim W. Nattkemper Tags: Methodology article Source Type: research

COMBImage2: a parallel computational framework for higher-order drug combination analysis that includes automated plate design, matched filter based object counting and temporal data mining
Pharmacological treatment of complex diseases using more than two drugs is commonplace in the clinic due to better efficacy, decreased toxicity and reduced risk for developing resistance. However, many of thes... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 4, 2019 Category: Bioinformatics Authors: Efthymia Chantzi, Malin Jarvius, Mia Niklasson, Anna Segerman and Mats G. Gustafsson Tags: Methodology article Source Type: research

TAR-VIR: a pipeline for TARgeted VIRal strain reconstruction from metagenomic data
Strain-level RNA virus characterization is essential for developing prevention and treatment strategies. Viral metagenomic data, which can contain sequences of both known and novel viruses, provide new opportu... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 4, 2019 Category: Bioinformatics Authors: Jiao Chen, Jiating Huang and Yanni Sun Tags: Methodology article Source Type: research

A dual controllability analysis of influenza virus-host protein-protein interaction networks for antiviral drug target discovery
Host factors of influenza virus replication are often found in key topological positions within protein-protein interaction networks. This work explores how protein states can be manipulated through controllab... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 3, 2019 Category: Bioinformatics Authors: Emily E. Ackerman, John F. Alcorn, Takeshi Hase and Jason E. Shoemaker Tags: Research article Source Type: research

A comparison of three programming languages for a full-fledged next-generation sequencing tool
elPrep is an established multi-threaded framework for preparing SAM and BAM files in sequencing pipelines. To achieve good performance, its software architecture makes only a single pass through a SAM/BAM file... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - June 3, 2019 Category: Bioinformatics Authors: Pascal Costanza, Charlotte Herzeel and Wilfried Verachtert Tags: Methodology article Source Type: research

Dynamics of gene regulatory networks and their dependence on network topology and quantitative parameters – the case of phage λ
Gene regulatory networks can be modelled in various ways depending on the level of detail required and biological questions addressed. One of the earliest formalisms used for modeling is a Boolean network, alt... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 31, 2019 Category: Bioinformatics Authors: Dace Ruklisa, Alvis Brazma, Karlis Cerans, Thomas Schlitt and Juris Viksna Tags: Research article Source Type: research

Conventionally used reference genes are not outstanding for normalization of gene expression in human cancer research
The selection of reference genes is essential for quantifying gene expression. Theoretically they should be expressed stably and not regulated by experimental or pathological conditions. However, identificatio... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 29, 2019 Category: Bioinformatics Authors: Jihoon Jo, Sunkyung Choi, Jooseong Oh, Sung-Gwon Lee, Song Yi Choi, Kee K. Kim and Chungoo Park Tags: Research Source Type: research

CollaboNet: collaboration of deep neural networks for biomedical named entity recognition
Finding biomedical named entities is one of the most essential tasks in biomedical text mining. Recently, deep learning-based approaches have been applied to biomedical named entity recognition (BioNER) and sh... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 29, 2019 Category: Bioinformatics Authors: Wonjin Yoon, Chan Ho So, Jinhyuk Lee and Jaewoo Kang Tags: Research Source Type: research

Computational determination of hERG-related cardiotoxicity of drug candidates
Drug candidates often cause an unwanted blockage of the potassium ion channel of the human ether-a-go-go-related gene (hERG). The blockage leads to long QT syndrome (LQTS), which is a severe life-threatening c... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 29, 2019 Category: Bioinformatics Authors: Hyang-Mi Lee, Myeong-Sang Yu, Sayada Reemsha Kazmi, Seong Yun Oh, Ki-Hyeong Rhee, Myung-Ae Bae, Byung Ho Lee, Dae-Seop Shin, Kwang-Seok Oh, Hyithaek Ceong, Donghyun Lee and Dokyun Na Tags: Research Source Type: research

Is automatic detection of hidden knowledge an anomaly?
The quantity of documents being published requires researchers to specialize to a narrower field, meaning that inferable connections between publications (particularly from different domains) can be missed. Th... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 29, 2019 Category: Bioinformatics Authors: Judita Preiss Tags: Research Source Type: research

Pairwise visual comparison of small RNA secondary structures with base pair probabilities
Predicted RNA secondary structures are typically visualized using dot-plots for base pair binding probabilities and planar graphs for unique structures, such as the minimum free energy structure. These are how... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 29, 2019 Category: Bioinformatics Authors: Serge L éger, Maria Beatriz Walter Costa and Dan Tulpan Tags: Research article Source Type: research

Rare variant phasing using paired tumor:normal sequence data
In standard high throughput sequencing analysis, genetic variants are not assigned to a homologous chromosome of origin. This process, called haplotype phasing, can reveal information important for understandi... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 27, 2019 Category: Bioinformatics Authors: Alexandra R. Buckley, Trey Ideker, Hannah Carter and Nicholas J. Schork Tags: Methodology article Source Type: research

NeoPredPipe: high-throughput neoantigen prediction and recognition potential pipeline
Next generation sequencing has yielded an unparalleled means of quickly determining the molecular make-up of patient tumors. In conjunction with emerging, effective immunotherapeutics for a number of cancers, ... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 22, 2019 Category: Bioinformatics Authors: Ryan O. Schenck, Eszter Lakatos, Chandler Gatenbee, Trevor A. Graham and Alexander R.A. Anderson Tags: Software Source Type: research

Solr-Plant: efficient extraction of plant names from text
The retrieval of plant-related information is a challenging task due to variations in species name mentions as well as spelling or typographical errors across data sources. Scalable solutions are needed for id... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 22, 2019 Category: Bioinformatics Authors: Vivekanand Sharma, Maria Isabel Restrepo and Indra Neil Sarkar Tags: Software Source Type: research

The hazards of perception: evaluating a change blindness demonstration within a real-world driver education course
Overconfidence in one ’s driving ability can lead to risky decision-making and may therefore increase the accident risk. When educating people about the risks of their driving behavior, it is all too easy for i... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 21, 2019 Category: Bioinformatics Authors: Daniel O. A. Gunnell, Melina A. Kunar, Danielle G. Norman and Derrick G. Watson Tags: Original article Source Type: research

Knowledge-guided convolutional networks for chemical-disease relation extraction
Automatic extraction of chemical-disease relations (CDR) from unstructured text is of essential importance for disease treatment and drug development. Meanwhile, biomedical experts have built many highly-struc... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 21, 2019 Category: Bioinformatics Authors: Huiwei Zhou, Chengkun Lang, Zhuang Liu, Shixian Ning, Yingyu Lin and Lei Du Tags: Research article Source Type: research

Pairwise alignment of nucleotide sequences using maximal exact matches
Pairwise alignment of short DNA sequences with affine-gap scoring is a common processing step performed in a range of bioinformatics analyses. Dynamic programming (i.e. Smith-Waterman algorithm) is widely used... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 21, 2019 Category: Bioinformatics Authors: Arash Bayat, Bruno Ga ëta, Aleksandar Ignjatovic and Sri Parameswaran Tags: Methodology article Source Type: research

DRfit: a Java tool for the analysis of discrete data from multi-well plate assays
Analyses of replicates in sets of discrete data, typically acquired in multi-well plate formats, is a recurring task in many contemporary areas in the Life Sciences. The availability of accessible cross-platfo... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 21, 2019 Category: Bioinformatics Authors: Andreas Hofmann, Sarah Preston, Megan Cross, H. M. P. Dilrukshi Herath, Anne Simon and Robin B. Gasser Tags: Software Source Type: research

Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets
Methods to read out naturally occurring or experimentally introduced nucleic acid modifications are emerging as powerful tools to study dynamic cellular processes. The recovery, quantification and interpretati... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 20, 2019 Category: Bioinformatics Authors: Tobias Neumann, Veronika A. Herzog, Matthias Muhar, Arndt von Haeseler, Johannes Zuber, Stefan L. Ameres and Philipp Rescheneder Tags: Research article Source Type: research

Weekly ILI patient ratio change prediction using news articles with support vector machine
Influenza continues to pose a serious threat to human health worldwide. For this reason, detecting influenza infection patterns is critical. However, as the epidemic spread of influenza occurs sporadically and... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 20, 2019 Category: Bioinformatics Authors: Juhyeon Kim and Insung Ahn Tags: Research article Source Type: research

Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration
The Bioinformatics Resource Manager (BRM) is a web-based tool developed to facilitate identifier conversion and data integration for Homo sapiens (human), Mus musculus (mouse), Rattus norvegicus (rat), Danio reri... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 17, 2019 Category: Bioinformatics Authors: Joseph Brown, Aaron R. Phillips, David A. Lewis, Michael-Andres Mans, Yvonne Chang, Robert L. Tanguay, Elena S. Peterson, Katrina M. Waters and Susan C. Tilton Tags: Database Source Type: research

ROIMCR: a powerful analysis strategy for LC-MS metabolomic datasets
The analysis of LC-MS metabolomic datasets appears to be a challenging task in a wide range of disciplines since it demands the highly extensive processing of a vast amount of data. Different LC-MS data analys... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 17, 2019 Category: Bioinformatics Authors: Eva Gorrochategui, Joaquim Jaumot and Rom à Tauler Tags: Research article Source Type: research

Improving the power of gene set enrichment analyses
Set enrichment methods are commonly used to analyze high-dimensional molecular data and gain biological insight into molecular or clinical phenotypes. One important category of analysis methods employs an enri... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 17, 2019 Category: Bioinformatics Authors: Joanna Roder, Benjamin Linstid and Carlos Oliveira Tags: Methodology article Source Type: research

GenePy - a score for estimating gene pathogenicity in individuals using next-generation sequencing data
Next-generation sequencing is revolutionising diagnosis and treatment of rare diseases, however its application to understanding common disease aetiology is limited. Rare disease applications binarily attribut... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 16, 2019 Category: Bioinformatics Authors: E. Mossotto, J. J. Ashton, L. O ’Gorman, R. J. Pengelly, R. M. Beattie, B. D. MacArthur and S. Ennis Tags: Software Source Type: research

HOME: a histogram based machine learning approach for effective identification of differentially methylated regions
The development of whole genome bisulfite sequencing has made it possible to identify methylation differences at single base resolution throughout an entire genome. However, a persistent challenge in DNA methy... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - May 16, 2019 Category: Bioinformatics Authors: Akanksha Srivastava, Yuliya V. Karpievitch, Steven R. Eichten, Justin O. Borevitz and Ryan Lister Tags: Methodology article Source Type: research