Editing Computational biology (section)

=== Oncology ===
{{Main|Oncology}}
Computational biology plays a crucial role in discovering signs of new, previously unknown living creatures and in [[cancer]] research. This field involves large-scale measurements of cellular processes, including [[RNA]], [[DNA]], and proteins, which pose significant computational challenges. To overcome these, biologists rely on computational tools to accurately measure and analyze biological data.<ref name=":5">{{cite journal |last=Yakhini |first=Zohar |year=2011 |title=Cancer Computational Biology |journal=BMC Bioinformatics |volume=12 |pages=120 |doi=10.1186/1471-2105-12-120 |pmc=3111371 |pmid=21521513 |doi-access=free}}</ref> In cancer research, computational biology aids in the complex analysis of [[Neoplasm|tumor]] samples, helping researchers develop new ways to characterize tumors and understand various cellular properties. The use of high-throughput measurements, involving millions of data points from DNA, RNA, and other biological structures, helps in diagnosing cancer at early stages and in understanding the key factors that contribute to cancer development. Areas of focus include analyzing molecules that are deterministic in causing cancer and understanding how the human genome relates to tumor causation.<ref name=":5" /><ref>{{cite journal |last1=Barbolosi |first1=Dominique |last2=Ciccolini |first2=Joseph |last3=Lacarelle |first3=Bruno |last4=Barlesi |first4=Fabrice |last5=Andre |first5=Nicolas |year=2016 |title=Computational oncology--mathematical modelling of drug regimens for precision medicine |journal=Nature Reviews Clinical Oncology |volume=13 |issue=4 |pages=242–254 |doi=10.1038/nrclinonc.2015.204 |pmid=26598946 |s2cid=22492353}}</ref>