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Additional file 5 of Leveraging protein quaternary structure to identify oncogenic driver mutations

Year: 2016

Type: dataset

Abstract: Trinary outcomes. A summary for each structure that denotes if there was statistically significant clustering or not when evaluated under tertiary and quaternary methods. Structures that are blank are demarcated as well. (XLSX 96.7 kb)

Source: Figshare

DOI: 10.6084/m9.figshare.c.3640607_d7

Authors: Ryslik, Gregory, Yuwei Cheng, Yorgo Modis, Hongyu Zhao

Language: English

Topic: Cancer Genomics and Diagnostics

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4394150486

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