Autors: Ivan Krastev., Stella Vetova., Budakova, D. V.
Title: Protein sequence alignment analysis using “biosequence alignments” database and bioinformatics system
Keywords: bioinformatics, sequence alignment, global alignment

References

    Issue

    TechSys'23, 2023, Bulgaria, 12th International Scientific Conference “TechSys 2023” – Engineering, Technologies and Systems AIP Conf. Proc. 3078, 040004-1–040004-8; https://doi.org/10.1063/5.0209017 Published under an exclusive license by AIP Publishing. 978-0-7354-4935-0, https://doi.org/10.1063/5.0209017

    Цитирания (Citation/s):
    1. Pardo E., Milev V., Kolev V., Marinova M., Analyzing at Scale the Effects of Optimal Global Sequence Alignment on Sequence Similarity Using a GPU-Optimized Implementation of the Needleman-Wunsch Algorithm and the SBERT Module, 2025, Engineering Proceedings, issue 1, vol. 100, DOI 10.3390/engproc2025100066, eissn 26734591 - 2025 - в издания, индексирани в Scopus

    Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus