Advances in Bioinformatics and Computational Biology: Don't take them too seriously anyway
Emanuel Diamant

TL;DR
This paper discusses the shift from data-processing to cognitive approaches in bioinformatics, highlighting issues with understanding information and proposing remedies to improve biological research methodologies.
Contribution
It offers insights into the paradigm shift and suggests solutions for better understanding and handling information in biological studies.
Findings
Identifies a paradigm shift in bioinformatics research approaches
Highlights misconceptions about information processing in biology
Proposes remedies to improve research practices
Abstract
In the last few decades or so, we witness a paradigm shift in our nature studies - from a data-processing based computational approach to an information-processing based cognitive approach. The process is restricted and often misguided by the lack of a clear understanding about what information is and how it should be treated in research applications (in general) and in biological studies (in particular). The paper intend to provide some remedies for this bizarre situation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGenetics, Bioinformatics, and Biomedical Research
