Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nure, Tasnina"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract The rapid growth of online social media usage in our daily lives has increased the importance of analyzing the dynamics of online social networks. However, the dynamic data of existing online social media platforms are not readily accessible
Externí odkaz:
https://doaj.org/article/32425db3777a45d985411cb8b39629ca
Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 -human interactome
Autor:
Meghana, Kshirsagar, Nure, Tasnina, Michael D, Ward, Jeffrey N, Law, T M, Murali, Juan M, Lavista Ferres, Gregory R, Bowman, Judith, Klein-Seetharaman
Publikováno v:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 26
Viruses such as the novel coronavirus, SARS-CoV-2, that is wreaking havoc on the world, depend on interactions of its own proteins with those of the human host cells. Relatively small changes in sequence such as between SARS-CoV and SARS-CoV-2 can dr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::52bd6b07ee2e6bef2795b953aae1153f
https://pubmed.ncbi.nlm.nih.gov/33691013
https://pubmed.ncbi.nlm.nih.gov/33691013
Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 —human interactome
Autor:
Gregory R. Bowman, Nure Tasnina, Judith Klein-Seetharaman, T. M. Murali, Juan Lavista Ferres, Meghana Kshirsagar, Michael D. Ward, Jeffrey N. Law
Publikováno v:
PSB
Viruses such as the novel coronavirus, SARS-CoV-2, that is wreaking havoc on the world, depend on interactions of its own proteins with those of the human host cells. Relatively small changes in sequence such as between SARS-CoV and SARS-CoV-2 can dr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db89076833daec0f38d48e59e9ad94a0
https://doi.org/10.1142/9789811232701_0015
https://doi.org/10.1142/9789811232701_0015
Autor:
Jeffrey N Law, Kyle Akers, Nure Tasnina, Catherine M Della Santina, Shay Deutsch, Meghana Kshirsagar, Judith Klein-Seetharaman, Mark Crovella, Padmavathy Rajagopalan, Simon Kasif, T M Murali
Publikováno v:
GigaScience
Background Network propagation has been widely used for nearly 20 years to predict gene functions and phenotypes. Despite the popularity of this approach, little attention has been paid to the question of provenance tracing in this context, e.g., det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1806f5bc8e037efc22cfe03f203e66e0
