Understanding Life
A Bioinformatics Perspective
Bibliographic Data
| ID | 12417428 |
|---|---|
| Authors | Natalia Szóstak (0000-0001-9933-0496, Poznań University of Technology, corresponding author), Szymon Wąsik (0000-0002-2753-2862, Institute of Bioorganic Chemistry, Polish Academy of Sciences), Jacek Błażewicz (0000-0001-8326-1094, Poznań University of Technology) |
| Year | 2016 |
| Volume | 25 |
| Issue | 2 |
| Pages | 231-245 |
| Publication date | 2016-12-20 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | European Review (JOURNAL) |
| Journal identifiers | ISSN: 1062-7987 • E-ISSN: 1474-0575 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1062798716000570 |
| OpenAlex | W2562163731 |
| Language | EN |
| References cited | 60 |
According to some hypotheses, from a statistical perspective the origin of life seems to be a highly improbable event. Although there is no rigid definition of life itself, life as it is, is a fact. One of the most recognized hypotheses for the origins of life is the RNA world hypothesis. Laboratory experiments have been conducted to prove some assumptions of the RNA world hypothesis. However, despite some success in the ‘wet-lab’, we are still far from a complete explanation. Bioinformatics, supported by biomathematics, appears to provide the perfect tools to model and test various scenarios of the origins of life where wet-lab experiments cannot reflect the true complexity of the problem. Bioinformatics simulations of early pre-living systems may give us clues to the mechanisms of evolution. Whether or not this approach succeeds is still an open question. However, it seems likely that linking efforts and knowledge from the various fields of science into a holistic bioinformatics perspective offers the opportunity to come one step closer to a solution to the question of the origin of life, which is one of the greatest mysteries of humankind. This paper illustrates some recent advancements in this area and points out possible directions for further research
Abiogenesis · Biology · Data science · Epistemology · Event (particle physics · Perspective (graphical · RNA · RNA world hypothesis · Statistical hypothesis testing · Test (biology · Computer Science · Evolution and Genetic Dynamics · Fractal and DNA sequence analysis · Mathematics · Origins and Evolution of Life · Philosophy · Artificial Intelligence · Ecology · Genetics
| Highly cited | No |
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