Evolutionary statistics toolkit

*Web toolkit version 1.2.0 Click a tool to proceed:

History

Documentation

RNA2Dmatch

This tool implements the Needleman-Wunsch algorithm for sequence alignment, and adapts it for RNA secondary structures.

If you find this tool useful, you can cite:

Karagol, A., & Karagol, T. (2024). An Evolutionary Statistics Toolkit for Simplified Sequence Analysis on Web with Client-Side Processing. bioRxiv, 2024-08. doi: https://doi.org/10.1101/2024.08.01.606148
Needleman, S.B. and Wunsch, C.D. (1970) A General Method Applicable to the Search for Similarities in the Amino Acid Sequence of Two Proteins. Journal of Molecular Biology, 48, 443-453. http://dx.doi.org/10.1016/0022-2836(70)90057-4

Kurtosis coefficient calculator

If you find this tool useful, you can cite:

Karagol, A., & Karagol, T. (2024). An Evolutionary Statistics Toolkit for Simplified Sequence Analysis on Web with Client-Side Processing. bioRxiv, 2024-08. doi: https://doi.org/10.1101/2024.08.01.606148
Pearson, Karl (1905), "Das Fehlergesetz und seine Verallgemeinerungen durch Fechner und Pearson. A Rejoinder" [The Error Law and its Generalizations by Fechner and Pearson. A Rejoinder], Biometrika, 4 (1–2): 169–212,

FASTA to SEQRES format converter

If you find this tool useful, you can cite:

Karagol, A., & Karagol, T. (2024). An Evolutionary Statistics Toolkit for Simplified Sequence Analysis on Web with Client-Side Processing. bioRxiv, 2024-08. doi: https://doi.org/10.1101/2024.08.01.606148

Karagöl A, Karagöl T, Smorodina E, Zhang S. Structural bioinformatics studies of glutamate transporters and their AlphaFold2 predicted water-soluble QTY variants and uncovering the natural mutations of L->Q, I->T, F->Y and Q->L, T->I and Y->F. PLoS One. 2024 Apr 10;19(4):e0289644. doi: 10.1371/journal.pone.0289644

Thank you for visiting this site. The toolkit is freely available for academic and non-commercial use.

Please contact for commercial usage.

Batch analyses often require automated and reproducible workflows to handle large datasets efficiently. To support this, we have prepared a collection of Google Colab notebooks and open-source scripts. You can follow the links below to access the repositories, open them in Colab, and continue the analysis seamlessly.

Google Colab notebooks and open source codes are available at:

Site frequency spectrum (SFS) & Tajima's D analysis:

https://github.com/karagol-alper/SFS-Tajima-s-D

Shannon's Entrophy (H) Calculation:

https://github.com/karagol-alper/Shannon-s-Entrophy-H

Alignment processor for pairwise variation analysis:

https://github.com/karagol-alper/Aln-to-matrix

Alignment Substitution Analyzer (AlignSubs):

https://github.com/karagol-taner/Alignment-Substitution-Analyzer

RNA2Dmatch:

https://github.com/karagol-alper/RNA2Dmatch

Kurtosis coefficient calculator: