List_of_omics_topics_in_biology

List of omics topics in biology

List of omics topics in biology

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Inspired by the terms genome and genomics, other words to describe complete biological datasets, mostly sets of biomolecules originating from one organism, have been coined with the suffix -ome and -omics. Some of these terms are related to each other in a hierarchical fashion. For example, the genome contains the ORFeome, which gives rise to the transcriptome, which is translated to the proteome. Other terms are overlapping and refer to the structure and/or function of a subset of proteins (e.g. glycome, kinome).

An omicist is a scientist who studies omeomics, cataloging all the “omics” subfields.[1]

Omics.org is a Wiki that collects and alphabetically lists all the known "omes" and "omics."[2]

List of topics

More information -ome, Field of study (-omics) ...

Hierarchy of topics

For the sake of clarity, some topics are listed more than once.


References

  1. Yadav SP. (2007). "The Wholeness in Suffix -omics, -omes, and the Word Om". J Biomol Tech. 18 (5): 277. PMC 2392988. PMID 18166670.
  2. Yagami T, Haishima Y, Tsuchiya T, Tomitaka-Yagami A, Kano H, Matsunaga K.; Haishima; Tsuchiya; Tomitaka-Yagami; Kano; Matsunaga (2004). "Proteomic analysis of putative latex allergens". Int Arch Allergy Immunol. 135 (1): 3–11. doi:10.1159/000080036. PMID 15286439. S2CID 35112557.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  3. Faisandier, Laurie; De Gaudemaris, Régis; Bicout, Dominique J. (2009). "Occupational Health Problem Network : the Exposome". arXiv:0907.3410 [stat.ME].
  4. Faisandier, Laurie; Bonneterre, Vincent; De Gaudemaris, Régis; Bicout, Dominique J. (2009). "A network-based approach for surveillance of occupational health exposures". arXiv:0907.3355 [stat.ME].
  5. Cifuentes, A. (2009). "Food analysis and Foodomics". Journal of Chromatography A. 1216 (43): 7109. doi:10.1016/j.chroma.2009.09.018. hdl:10261/154212. PMID 19765718.
  6. "Home". interferome.org.
  7. "Protein Snapshots". www.the-scientist.com. Archived from the original on December 2, 2008.
  8. Subramaniam S, Fahy E, Gupta S, Sud M, Byrnes RW, Cotter D, Dinasarapu AR, Maurya MR (2011). "Bioinformatics and Systems Biology of the Lipidome". Chemical Reviews. 111 (10): 6452–6490. doi:10.1021/cr200295k. PMC 3383319. PMID 21939287.
  9. Pardo, Maria; Roca-Rivada, Arturo; Seoane, Luisa Maria; Casanueva, Felipe F. (2012). "Obesidomics: Contribution of adipose tissue secretome analysis to obesity research". Endocrine. 41 (3): 374–383. doi:10.1007/s12020-012-9617-z. PMID 22434412. S2CID 20503653.
  10. Schaechter M (2014-05-15). "Of Terms in Biology: The Parvome". Small Things Considered. Retrieved 2020-04-21.
  11. Davies J, Ryan KS (2012). "Introducing the parvome: bioactive compounds in the microbial world". ACS Chemical Biology. 7 (2): 252–259. doi:10.1021/cb200337h. PMID 22074935.
  12. (2011) "15th EBM PROGRAM" Archived 2016-01-26 at the Wayback Machine Evolutionary Biology Meeting at Marseilles. Retrieved December 14, 2011.
  13. Dov Greenbaum; Nicholas M. Luscombe; Ronald Jansen; et al. (2001). "Interrelating Different Types of Genomic Data, from Proteome to Secretome: 'Oming in on Function". Genome Research. 11 (9): 1463–1468. doi:10.1101/gr.207401. PMID 11544189.
  14. Carlson, Scott M.; Gozani, Or (2014-10-09). "Emerging technologies to map the protein methylome". Journal of Molecular Biology. 426 (20): 3350–3362. doi:10.1016/j.jmb.2014.04.024. ISSN 1089-8638. PMC 4177301. PMID 24805349.
  15. Huser, V.; Cimino, J. J. (2012). "Precision and Negative Predictive Value of Links between ClinicalTrials.gov and PubMed". AMIA Annual Symposium Proceedings. 2012: 400–408. PMC 3540528. PMID 23304310.
  16. Bouhifd, Mounir; Andersen, Melvin E.; Baghdikian, Christina; Boekelheide, Kim; Crofton, Kevin M.; Fornace, Albert J.; Kleensang, Andre; Li, Henghong; Livi, Carolina (2015-01-01). "The human toxome project". ALTEX. 32 (2): 112–124. doi:10.14573/altex.1502091. ISSN 1868-596X. PMC 4778566. PMID 25742299.
  17. DeFelipe, Javier (2010-11-26). "From the Connectome to the Synaptome: An Epic Love Story". Science. 330 (6008): 1198–1201. Bibcode:2010Sci...330.1198D. doi:10.1126/science.1193378. ISSN 0036-8075. PMID 21109663. S2CID 33348231.
  18. Kopell, Nancy J.; Gritton, Howard J.; Whittington, Miles A.; Kramer, Mark A. (2014-09-17). "Beyond the connectome: the dynome". Neuron. 83 (6): 1319–1328. doi:10.1016/j.neuron.2014.08.016. ISSN 1097-4199. PMC 4169213. PMID 25233314.

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