Bioinformatics Toolkit by Taner Karagol
Welcome to my Bioinformatics Toolkits page.
For more detailed information, you can visit my Github page.
If you find this tool useful, you can cite:
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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
If you find this tool useful, you can cite:
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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
and
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Kyte, J; Doolittle, R. F. (1982). "A simple method for displaying the hydropathic character of a protein". Journal of Molecular Biology. 157 (1): 105–32.
Generate variant protein and nucleotide sequences in FASTA format based on wild-type protein/nucleotide sequences and variant notations in HGVS format. This tool is particularly useful for researchers and bioinformaticians working with protein sequences to study the effects of missense variants. Now available as web page.
Analyze multiple sequence alignments (MSA, as FASTA or Clustalw Files) and generate substitution statistics for nucleotide and protein sequences. This tool is particularly useful for researchers and bioinformaticians studying sequence variation and evolutionary relationships.
Various PDB tools that can help researchers to modify PDB files.