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JACOBI4 is a simple and convenient package, which allows researchers without programming experience to automate multivariate statistical analysis.

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JACOBI 4.3.21
Windows
Documentation
  1. Added inverse Box-Cox computation module.
  2. Added character-wise value splitting module.
  3. Added confidence interval computation in statistics module.
  4. Added non-numeric value handling in correlation module.
  5. Added cumulative statistics computation for eigenvalues in PCO module.
  6. Removed vector normalization in Gram-Schmidt process module.
  7. Fixed issues with Box-Cox computation.
  8. Fixed empty matrix handling in matrixShifter module.
  9. Dropped Windows XP support.

Grants

  1. RFBR #19-07-00658 “Development of new methods, algorithms and pipelines for the analysis of multidimensional biological data and their software implementation”.
  2. RFBR #13-07-00315 “Heterogenic data mining and combining”.

Articles

  1. Starostin K. V. et al. Creation of an online platform for identification of microorganisms: peak picking or full-spectrum analysis // Frontiers in microbiology. – 2020. – Т. 11.
  2. Denis Polunin, Irina Shtaiger, Vadim Efimov (2019). JACOBI4 software for multivariate analysis of biological data // bioRxiv 803684, doi: 10.1101/803684.
    Cytb_DROME.7z HD-GSE_A.7z
  3. Kovaleva V.Yu., Pozdnyakov A.A., Litvinov Yu.N., Efimov V.M. (2019). Estimation of the congruence between morphogenetic and molecular-genetic modules of gray voles Microtus s.l. variability along a climatic gradient. Ecological Genetics, 17(2), 21–34. doi: 10.17816/ecogen17221-34.
    Codons.zip Corr.zip GeoClim.zip M1.zip
  4. Vadim M. Efimov, Kirill V. Efimov, Vera Yu. Kovaleva Principal component analysis and its generalizations for any type sequence (pca-seq) // bioRxiv 535112, doi: 10.1101/535112.
    CytB.7z
  5. Leonid O. Klimov, Nikita I. Ershov, Vadim M. Efimov, Arcady L. Markel, Olga E. Redina. Genome-wide transcriptome analysis of hypothalamus in rats with inherited stress-induced arterial hypertension // BMC Genetics, January 2016, doi: 10.1186/s12863-015-0307-8.
  6. Konstantin V. Starostin, Evgeny A. Demidov, Alla V. Bryanskaya, Vadim M. Efimov, Alexey S. Rozanov & Sergey E. Peltek. Identification of Bacillus strains by MALDI TOF MS using geometric approach // Scientific Reports 5, Article number: 16989, 2015, doi: 10.1038/srep16989.

Conference proceeding

  1. Efimov V. M. et al. The PCA-seq method applied to analyze of the dynamics of COVID-19 epidemic indicators // Journal of Physics: Conference Series. – IOP Publishing, 2021. – Т. 1715. – №. 1. – С. 012025.
  2. Efimov V., Efimov K., Kovaleva V. Anchored Bootstrap //2020 Cognitive Sciences, Genomics and Bioinformatics (CSGB). – IEEE, 2020. – С. 32-35.

Authors

Vadim Efimov
Research advisor
Denis Polunin
Software developer
Irina Shtaiger
Software developer

Contacts

If you have any questions or feedback drop us a line at support@jacobi4.ru.