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Matlab 9.4 2018a

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MATLAB 9.4 (2018a) is a high-performance numerical computing environment and programming language developed by MathWorks. It is designed for technical and scientific computing applications, providing a comprehensive set of tools for data analysis, algorithm development, and visualization.

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Lab products found in correlation

Microsoftexcel professional plus 2013, by GraphPad (2 mentions) Matlab 8.4 2014b, by MathWorks (2 mentions) Pipeline pilot version8.5, by Dassault Systèmes (2 mentions) Prism 7, by GraphPad (1 mentions)

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MATLAB (20315 citations) MATLAB 2018a (176 citations) MATLAB 9.0 (113 citations)

3 protocols using matlab 9.4 2018a

1

Computational Analysis and Visualization

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Computational analyses and visualizations were performed in Microsoft
Excel Professional Plus 2013, GraphPad Prism (v6 or v7), Pipeline Pilot (version
8.5) (Accelrys, Inc.), or MATLAB 8.4 (2014b) or MATLAB 9.4 (2018a) (MathWorks,
Inc.), as described in the following specific Methods sections.
Sharifnia T., Wawer M.J., Chen T., Huang Q.Y., Weir B.A., Sizemore A., Lawlor M.A., Goodale A., Cowley G.S., Vazquez F., Ott C.J., Francis J.M., Sassi S., Cogswell P., Sheppard H.E., Zhang T., Gray N.S., Clarke P.A., Blagg J., Workman P., Sommer J., Hornicek F., Root D.E., Hahn W.C., Bradner J.E., Wong K.K., Clemons P.A., Lin C.Y., Kotz J.D, & Schreiber S.L. (2019). Small-molecule targeting of brachyury transcription factor addiction in chordoma. Nature medicine, 25(2), 292-300.
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2

Viral Epitope Polymorphism Analysis

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All viral strain sequences were downloaded from NCBI. Epitope sequences including their flanking regions were aligned using in-house routines built with MATLAB 9.4 (2018a) (The MathWorks Inc., Natick, MA, USA). If epitopes differed from the B95.8 reference strain, including one or multiple amino acid exchanges, deletions, insertions or strong dissimilarities, they were classified as containing “polymorphisms” either within the epitope, the flanking region, or in both. Results were obtained in absolute or relative numbers, the latter being calculated by dividing individual strain numbers sharing the same epitope variant by the number of total strains that provided sequence data for the respective epitope. Data was further analyzed in GraphPad Prism 7 and MATLAB. Statistical analysis (alpha=0.05) was performed with MATLAB using Chi2 goodness of fit test for uniform distribution as well as two-sided binomial test with Bonferroni correction. Allele frequencies were obtained from http://www.allelefrequencies.net.
Cirac A., Poirey R., Dieckmeyer M., Witter K., Delecluse H.J., Behrends U, & Mautner J. (2021). Immunoinformatic Analysis Reveals Antigenic Heterogeneity of Epstein-Barr Virus Is Immune-Driven. Frontiers in Immunology, 12, 796379.
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3

Computational Analysis and Visualization

Check if the same lab product or an alternative is used in the 5 most similar protocols
Computational analyses and visualizations were performed in Microsoft
Excel Professional Plus 2013, GraphPad Prism (v6 or v7), Pipeline Pilot (version
8.5) (Accelrys, Inc.), or MATLAB 8.4 (2014b) or MATLAB 9.4 (2018a) (MathWorks,
Inc.), as described in the following specific Methods sections.
Sharifnia T., Wawer M.J., Chen T., Huang Q.Y., Weir B.A., Sizemore A., Lawlor M.A., Goodale A., Cowley G.S., Vazquez F., Ott C.J., Francis J.M., Sassi S., Cogswell P., Sheppard H.E., Zhang T., Gray N.S., Clarke P.A., Blagg J., Workman P., Sommer J., Hornicek F., Root D.E., Hahn W.C., Bradner J.E., Wong K.K., Clemons P.A., Lin C.Y., Kotz J.D, & Schreiber S.L. (2019). Small-molecule targeting of brachyury transcription factor addiction in chordoma. Nature medicine, 25(2), 292-300.
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