Bioinformatics tools for the sequence complexity estimates
Author:
Funder
RUDN University
Publisher
Springer Science and Business Media LLC
Subject
Molecular Biology,Structural Biology,Biophysics
Link
https://link.springer.com/content/pdf/10.1007/s12551-023-01140-y.pdf
Reference140 articles.
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2. Abnizova I, Walter K, Te Boekhorst R, Elgar G, Gilks WR (2007) Statistical information characterization of conserved non-coding elements in vertebrates. J Bioinform Comput Biol 5(2B):533–547. https://doi.org/10.1142/s0219720007002898
3. Abnizova I, te Boekhorst R, Orlov Y (2017) Computational errors and biases of short read next generation sequencing. J Proteom Bioinform 10:1–17. https://doi.org/10.4172/jpb.1000420
4. Agenis-Nevers M, Bokde ND, Yaseen ZM, Shende MK (2021) An empirical estimation for time and memory algorithm complexities: newly developed R package. Multimed Tools Appl 80(2):2997–3015. https://doi.org/10.1007/s11042-020-09471-8
5. Akbari Rokn Abadi S, Mohammadi A, Koohi S (2023) A new profiling approach for DNA sequences based on the nucleotides’ physicochemical features for accurate analysis of SARS-CoV-2 genomes. BMC Genomics 24(1):266. https://doi.org/10.1186/s12864-023-09373-7
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