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Image Search Results
Journal: Biological Research for Nursing
Article Title: The State of Data Science in Genomic Nursing
doi: 10.1177/1099800420915991
Figure Lengend Snippet: Comparison of Major Data Science and Machine-Learning Languages.
Article Snippet: Other resources that provide pipeline examples include “A Tutorial on Conducting Genome-Wide Association Studies: Quality Control and Statistical Analysis” by Marees et al. (2018) , “RNA-seq Workflow: Gene-Level Exploratory Analysis and Differential Expression” by Love et al. (2019) , “A Cross-Package Bioconductor Workflow for Analyzing Methylation Array Data” by Maksimovic et al. (2019) , and “Workflow for Microbiome Data Analysis: From Raw Reads to Community Analyses” by Callahan et al. (2017) . table ft1 table-wrap mode="anchored" t5 Table 2. caption a7 Language Common Editors Popular Biological Packages Advantages Disadvantages Helpful Links R ( R Core Team, 2013 ) R RStudio Bioconductor suite Open source, popular for academic research, significant number of package implementations Memory allocation, speed, security concerns www.r-project.org rstudio.com www.bioconductor.org Python ( van Rossum, 1995 ) Jupytr Notebook Spyder PyCharm Biopython QIIME Flexible and dynamic programming, software development, extensive support libraries Speed, weak for other computing platforms python.org www.sololearn.com realpython.com Matlab ( MathWorks Inc., 2019 )
Techniques: Comparison, Software