 Computational Biology
"Computational Biology" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.
| Descriptor ID |
D019295
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| MeSH Number(s) |
H01.158.273.180 L01.313.124
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| Concept/Terms |
Computational Molecular Biology- Computational Molecular Biology
- Biologies, Computational Molecular
- Biology, Computational Molecular
- Computational Molecular Biologies
- Molecular Biologies, Computational
- Molecular Biology, Computational
Bio-Informatics- Bio-Informatics
- Bio Informatics
- Bio-Informatic
- Bioinformatics
- Bioinformatic
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Below are MeSH descriptors whose meaning is more general than "Computational Biology".
Below are MeSH descriptors whose meaning is more specific than "Computational Biology".
This graph shows the total number of publications written about "Computational Biology" by people in this website by year, and whether "Computational Biology" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2000 | 1 | 1 | 2 | | 2002 | 0 | 4 | 4 | | 2003 | 4 | 3 | 7 | | 2004 | 2 | 7 | 9 | | 2005 | 4 | 7 | 11 | | 2006 | 6 | 8 | 14 | | 2007 | 4 | 7 | 11 | | 2008 | 13 | 3 | 16 | | 2009 | 12 | 7 | 19 | | 2010 | 7 | 11 | 18 | | 2011 | 5 | 12 | 17 | | 2012 | 6 | 11 | 17 | | 2013 | 11 | 11 | 22 | | 2014 | 6 | 10 | 16 | | 2015 | 9 | 15 | 24 | | 2016 | 11 | 10 | 21 | | 2017 | 12 | 11 | 23 | | 2018 | 5 | 14 | 19 | | 2019 | 10 | 13 | 23 | | 2020 | 6 | 16 | 22 | | 2021 | 11 | 8 | 19 | | 2022 | 2 | 1 | 3 |
To return to the timeline, click here.
Below are the most recent publications written about "Computational Biology" by people in Profiles.
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Lee BD, Gitter A, Greene CS, Raschka S, Maguire F, Titus AJ, Kessler MD, Lee AJ, Chevrette MG, Stewart PA, Britto-Borges T, Cofer EM, Yu KH, Carmona JJ, Fertig EJ, Kalinin AA, Signal B, Lengerich BJ, Triche TJ, Boca SM. Ten quick tips for deep learning in biology. PLoS Comput Biol. 2022 03; 18(3):e1009803.
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Clark CM, Nguyen L, Pham VC, Sanchez LM, Murphy BT. Automated Microbial Library Generation Using the Bioinformatics Platform IDBac. Molecules. 2022 Mar 22; 27(7).
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Way GP, Spitzer H, Burnham P, Raj A, Theis F, Singh S, Carpenter AE. Image-based profiling: a powerful and challenging new data type. Pac Symp Biocomput. 2022; 27:407-411.
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Hindy G, Dornbos P, Chaffin MD, Liu DJ, Wang M, Selvaraj MS, Zhang D, Park J, Aguilar-Salinas CA, Antonacci-Fulton L, Ardissino D, Arnett DK, Aslibekyan S, Atzmon G, Ballantyne CM, Barajas-Olmos F, Barzilai N, Becker LC, Bielak LF, Bis JC, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Bown MJ, Brody JA, Broome JG, Burtt NP, Cade BE, Centeno-Cruz F, Chan E, Chang YC, Chen YI, Cheng CY, Choi WJ, Chowdhury R, Contreras-Cubas C, Córdova EJ, Correa A, Cupples LA, Curran JE, Danesh J, de Vries PS, DeFronzo RA, Doddapaneni H, Duggirala R, Dutcher SK, Ellinor PT, Emery LS, Florez JC, Fornage M, Freedman BI, Fuster V, Garay-Sevilla ME, García-Ortiz H, Germer S, Gibbs RA, Gieger C, Glaser B, Gonzalez C, Gonzalez-Villalpando ME, Graff M, Graham SE, Grarup N, Groop LC, Guo X, Gupta N, Han S, Hanis CL, Hansen T, He J, Heard-Costa NL, Hung YJ, Hwang MY, Irvin MR, Islas-Andrade S, Jarvik GP, Kang HM, Kardia SLR, Kelly T, Kenny EE, Khan AT, Kim BJ, Kim RW, Kim YJ, Koistinen HA, Kooperberg C, Kuusisto J, Kwak SH, Laakso M, Lange LA, Lee J, Lee J, Lee S, Lehman DM, Lemaitre RN, Linneberg A, Liu J, Loos RJF, Lubitz SA, Lyssenko V, Ma RCW, Martin LW, Martínez-Hernández A, Mathias RA, McGarvey ST, McPherson R, Meigs JB, Meitinger T, Melander O, Mendoza-Caamal E, Metcalf GA, Mi X, Mohlke KL, Montasser ME, Moon JY, Moreno-Macías H, Morrison AC, Muzny DM, Nelson SC, Nilsson PM, O'Connell JR, Orho-Melander M, Orozco L, Palmer CNA, Palmer ND, Park CJ, Park KS, Pedersen O, Peralta JM, Peyser PA, Post WS, Preuss M, Psaty BM, Qi Q, Rao DC, Redline S, Reiner AP, Revilla-Monsalve C, Rich SS, Samani N, Schunkert H, Schurmann C, Seo D, Seo JS, Sim X, Sladek R, Small KS, So WY, Stilp AM, Tai ES, Tam CHT, Taylor KD, Teo YY, Thameem F, Tomlinson B, Tsai MY, Tuomi T, Tuomilehto J, Tusié-Luna T, Udler MS, van Dam RM, Vasan RS, Viaud Martinez KA, Wang FF, Wang X, Watkins H, Weeks DE, Wilson JG, Witte DR, Wong TY, Yanek LR, Kathiresan S, Rader DJ, Rotter JI, Boehnke M, McCarthy MI, Willer CJ, Natarajan P, Flannick JA, Khera AV, Peloso GM. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet. 2022 01 06; 109(1):81-96.
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Harris NL, Cock PJA, Fields CJ, Hokamp K, Maia J, Munoz-Torres M, Sharan M, Williams J. BOSC 2021, the 22nd Annual Bioinformatics Open Source Conference. F1000Res. 2021; 10.
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Way GP, Greene CS, Carninci P, Carvalho BS, de Hoon M, Finley SD, Gosline SJC, L? Cao KA, Lee JSH, Marchionni L, Robine N, Sindi SS, Theis FJ, Yang JYH, Carpenter AE, Fertig EJ. A field guide to cultivating computational biology. PLoS Biol. 2021 10; 19(10):e3001419.
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Simon OB, Buard I, Rojas DC, Holden SK, Kluger BM, Ghosh D. A novel approach to understanding Parkinsonian cognitive decline using minimum spanning trees, edge cutting, and magnetoencephalography. Sci Rep. 2021 10 05; 11(1):19704.
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Heil BJ, Hoffman MM, Markowetz F, Lee SI, Greene CS, Hicks SC. Reproducibility standards for machine learning in the life sciences. Nat Methods. 2021 10; 18(10):1132-1135.
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Karlsson Linnér R, Mallard TT, Barr PB, Sanchez-Roige S, Madole JW, Driver MN, Poore HE, de Vlaming R, Grotzinger AD, Tielbeek JJ, Johnson EC, Liu M, Rosenthal SB, Ideker T, Zhou H, Kember RL, Pasman JA, Verweij KJH, Liu DJ, Vrieze S, Kranzler HR, Gelernter J, Harris KM, Tucker-Drob EM, Waldman ID, Palmer AA, Harden KP, Koellinger PD, Dick DM. Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. Nat Neurosci. 2021 10; 24(10):1367-1376.
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Sabik OL, Ackert-Bicknell CL, Farber CR. A computational approach for identification of core modules from a co-expression network and GWAS data. STAR Protoc. 2021 09 17; 2(3):100768.
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