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All WGCNA network files, module associations, preservation statistics and consensus data files generated in this publication are available upon request ([email protected] or [email protected])[email protected]
All 207 Affymetrix CEL files generated in this study were parsed using the Robust MultiArray Averaging (RMA) method (Bioconductor affy Package and Affymetrix Power Tools) [ 22- 25].
Raw sequence files generated in this study are available from the NCBI Sequence Read Archive under accession numbers SRX658438, SRX658572, SRX658573, and SRX658574.
With the different GO annotation files generated in this study, various freely available tools can easily be used and compared with each other.
All RNA-seq sequences, BAM, and variant VCF files generated in this study were submitted to the European Nucleotide Archive (ENA) (http://www.ebi.ac.uk/ena) under accession number PRJEB7998.
All eight SBML files generated in this work were checked for syntax and internal consistency using the validation tool (http://sbml.org/validator/validate.php) and found to conform to all specifications of SBML through Level 3 Version 1 Core (Release 1).
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The relevant section representing the geometry/structure of JSON files generated in the two formats, in this case for a water molecule, are compared to clearly show the difference in design philosophies, i.e. arrays vs objects, driven by the use case, i.e. visualization vs semantically enriched semantic.
The CSV files generated in the previous tutorial can be directly imported into Excel to provide an advanced analysis and plotting platform for understanding, plotting, and manipulating the topic model outputs.
All data files generated in the analysis, including sequence files, HMMs, and network files, are available online at http://www.cgl.ucsf.edu/Research/cytoscape/SeqSimNet/.ucsf.edu/Research/cytoscape/SeqSimNet/
All data files generated in the analysis, including sequence files, alignments, and networks, are available (http://babbittlab.compbio.ucsf.edu/resources/GST).
Metadata relevant to files generated in the life science domain can broadly be grouped into three classes: information about files, file contents or relationships between files.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com