BIOINFORMATIKA VA GENOMIKA SOHASIDA KATTA MA’LUMOTLAR TAHLILINING ROLI.

Mualliflar

  • A.Toxirov Kokand Universiteti Andijon filiali

Kalit so‘zlar:

Bioinformatika, genomika, katta ma’lumotlar, genetik tahlil, sun’iy intellekt, mashinaviy o‘rganish, shaxsiy tibbiyot, sekvenlash texnologiyalari, farmakogenomika, bulutli hisoblash.

Abstrak

Ushbu maqolada bioinformatika va genomika sohalarida katta ma’lumotlar
(big data) tahlilining tutgan o‘rni hamda uning ilmiy va amaliy ahamiyati yoritilgan. Genomik
ma’lumotlarning tezkor to‘planishi va murakkab tuzilishi ularni samarali saqlash, boshqarish va
chuqur tahlil qilish uchun ilg‘or texnologiyalarni talab etadi. Maqolada katta ma’lumotlar asosida
genomik tadqiqotlar olib borish, sun’iy intellekt va mashinaviy o‘rganish metodlarini qo‘llash,
shuningdek, shaxsiy tibbiyot, qishloq xo‘jaligi va farmakogenomika kabi yo‘nalishlardagi real
ilovalar tahlil qilinadi. Bioinformatika va katta ma’lumotlar integratsiyasi orqali kasalliklarni erta
aniqlash va davolashda yangi imkoniyatlar yuzaga chiqmoqda.

References

Mardis, E. R. (2017). DNA sequencing technologies: 2006–2016. Nature Protocols, 12(2), 365–368. https://doi.org/10.1038/nprot.2016.182

Marx, V. (2013). Biology: The big challenges of big data. Nature, 498(7453), 255–260. https://doi.org/10.1038/498255a

Stephens, Z. D., Lee, S. Y., Faghri, F., Campbell, R. H., Zhai, C., Efron, M. J., ... & Robinson, G. E. (2015). Big data: Astronomical or genomical?. PLoS Biology, 13(7), e1002195. https://doi.org/10.1371/journal.pbio.1002195

Kahn, S. D. (2011). On the future of genomic data. Science, 331(6018), 728–729. https://doi.org/10.1126/science.1197891

Baker, M. (2010). Next-generation sequencing: Adjusting to data overload. Nature Methods, 7(7), 495–499. https://doi.org/10.1038/nmeth0710-495

Hasin, Y., Seldin, M., & Lusis, A. (2017). Multi-omics approaches to disease. Genome Biology, 18(1), 1–15. https://doi.org/10.1186/s13059-017-1215-1

Wang, Z., Gerstein, M., & Snyder, M. (2009). RNA-Seq: A revolutionary tool for transcriptomics. Nature Reviews Genetics, 10(1), 57–63. https://doi.org/10.1038/nrg2484

McKinney, W. (2010). Data structures for statistical computing in Python. Proceedings of the 9th Python in Science Conference, 445, 51–56.

Dean, J., & Ghemawat, S. (2008). MapReduce: Simplified data processing on large clusters. Communications of the ACM, 51(1), 107–113. https://doi.org/10.1145/1327452.1327492

Afgan, E., Baker, D., Batut, B., van den Beek, M., Bouvier, D., Čech, M., ... & Goecks, J. (2018). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Research, 46(W1), W537–W544. https://doi.org/10.1093/nar/gky379

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2025-06-16

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Jild 2 Nomeri 4.5 (2025): FARMASEVTIKA, BIOTEXNOLOGIYA VA BIOTIBBIYOTDA ZAMONAVIY TADQIQOTLAR VA ILMIY YANGILIKLAR” mavzusidagi xalqaro ilmiy-amaliy konferensiya Andijon. 23-24 aprel 2025-yil

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BIOINFORMATIKA VA GENOMIKA SOHASIDA KATTA MA’LUMOTLAR TAHLILINING ROLI. (2025). Universal Xalqaro Ilmiy Jurnal, 2(4.5), 1061-1064. https://universaljurnal.uz/index.php/jurnal/article/view/2688