Genome informatics

Genome Informatics (also genoinformatics or genetic information processing)[1] is a scientific study of information processing in genomes.

A section of DNA; the sequence of the plate-like units (nucleotides) in the center carries information.

Introduction

Information processing and information flow occur in the course of an organism's development and throughout its lifespan.[2] The essence of computation is information processing, and the essence of biological information processing is control of the molecular events inside a cell.[3] Genome informatics introduces computational techniques and applies them to derive information from genome sequences.[4] Genome informatics includes methods to analyze DNA sequence information and to predict protein sequence and structure.[4] Methods of studying a large genomic data include variant-calling, transcriptomic analysis, and variant interpretation.[5] Genome informatics can analyze DNA sequence information and to predict protein sequence and structure.[4] Genome informatics dealing with[6] microbial and metagenomics, sequencing algorithms, variant discovery and genome assembly, evolution, complex traits and phylogenetics, personal and medical genomics, transcriptomics, genome structure and function.[6] Genoinformatics refers to genome and chromosome dynamics, quantitative biology and modeling, molecular and cellular pathologies.[7] Genome informatics also includes the field of genome design. There still a lot more we can do and develop in Genome Informatics. Find a potential disease, searching a solution for a disease, or proving why people get sick for no reason. For genomic informatics there are several main applications for it, including:

  • genome information analysis[8]
  • computational modelling of gene regulatory networks[9]
  • models for complex eukaryotic regulatory DNA sequences[9]
  • an algorithm for Ab Initio DNA Motif Detection[9]

Applications
Main article: DNA computing

Biomolecular systems that can process information are sought for computational applications, because of their potential for parallelism and miniaturization and because their biocompatibility also makes them suitable for future biomedical applications. DNA has been used to design machines, motors, finite automata, logic gates, reaction networks and logic programs, amongst many other structures and dynamic behaviours.[10]

See also

References
  1. Patel, A. (2001). "Why genetic information processing could have a quantum basis". Journal of Biosciences. 26 (2): 145–151. arXiv:quant-ph/0105001. Bibcode:2001quant.ph..5001P. doi:10.1007/BF02703638. ISSN 0250-5991. PMID 11426050. S2CID 12348859.
  2. Bajic, Vladimir B; Wee, Tan Tin (2005). "Information Processing and Living Systems". Series on Advances in Bioinformatics and Computational Biology. 2. doi:10.1142/p391. ISBN 978-1-86094-563-2. ISSN 1751-6404.
  3. Wills, Peter R. (2016-03-13). "DNA as information". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 374 (2063): 20150417. Bibcode:2016RSPTA.37450417W. doi:10.1098/rsta.2015.0417. PMID 26857666.
  4. "Genome informatics - Latest research and news | Nature". www.nature.com. Retrieved 2020-04-20.
  5. "Genome Informatics (Virtual Conference)". Wellcome Genome Campus Advanced Courses and Scientific Conferences.
  6. "Genome Informatics | CSHL". meetings.cshl.edu. Retrieved 2020-04-20.
  7. "ePole of GenoInformatics". www.ijm.fr (in French). Retrieved 2020-04-21.
  8. Human genome informatics : translating genes into health. Lambert, Christophe G., Baker, Darrol J., Patrinos, George P. London, United Kingdom. 2 August 2018. ISBN 978-0-12-813431-3. OCLC 1047959760.{{cite book}}: CS1 maint: location missing publisher (link) CS1 maint: others (link)
  9. Bajic, Vladimir B; Wee, Tan Tin (2005). "Information Processing and Living Systems". Series on Advances in Bioinformatics and Computational Biology. 2. doi:10.1142/p391. ISBN 978-1-86094-563-2. ISSN 1751-6404.
  10. Santini, Cristina Costa; Bath, Jonathan; Turberfield, Andrew J.; Tyrrell, Andy M. (2012-04-23). "A DNA Network as an Information Processing System". International Journal of Molecular Sciences. 13 (4): 5125–5137. doi:10.3390/ijms13045125. ISSN 1422-0067. PMC 3344270. PMID 22606034.


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