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 |
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2000 | 1 | 1 | 2 | 2002 | 2 | 2 | 4 | 2003 | 4 | 4 | 8 | 2004 | 1 | 8 | 9 | 2005 | 3 | 3 | 6 | 2006 | 4 | 8 | 12 | 2007 | 4 | 5 | 9 | 2008 | 10 | 2 | 12 | 2009 | 12 | 9 | 21 | 2010 | 5 | 5 | 10 | 2011 | 4 | 17 | 21 | 2012 | 3 | 13 | 16 | 2013 | 8 | 13 | 21 | 2014 | 5 | 11 | 16 | 2015 | 4 | 11 | 15 | 2016 | 12 | 8 | 20 | 2017 | 10 | 9 | 19 | 2018 | 5 | 13 | 18 | 2019 | 4 | 16 | 20 | 2020 | 3 | 17 | 20 | 2021 | 9 | 13 | 22 | 2022 | 0 | 1 | 1 | 2023 | 1 | 1 | 2 |
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Below are the most recent publications written about "Computational Biology" by people in Profiles.
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Furtado LV, Souers RJ, Vasalos P, Halley JG, Aisner DL, Nagarajan R, Voelkerding KV, Merker JD, Konnick EQ. Four-Year Laboratory Performance of the First College of American Pathologists In Silico Next-Generation Sequencing Bioinformatics Proficiency Testing Surveys. Arch Pathol Lab Med. 2023 02 01; 147(2):137-142.
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Evans LM, Romero Villela PN. How rare mutations contribute to complex traits. Nature. 2023 02; 614(7948):418-419.
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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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Rogers JD, Aguado BA, Watts KM, Anseth KS, Richardson WJ. Network modeling predicts personalized gene expression and drug responses in valve myofibroblasts cultured with patient sera. Proc Natl Acad Sci U S A. 2022 02 22; 119(8).
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Bobak CA, Muse M, Giffin KA, Williamson DA, Greene CS, Moore JH, Wall DP. Human Intrigue: Meta-analysis approaches for big questions with big data while shaking up the peer review process. Pac Symp Biocomput. 2022; 27:156-162.
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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, C?rdova 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, Garc?a-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, Mart?nez-Hern?ndez 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-Mac?as 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, Tusi?-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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Mirzayi C, Renson A, Zohra F, Elsafoury S, Geistlinger L, Kasselman LJ, Eckenrode K, van de Wijgert J, Loughman A, Marques FZ, MacIntyre DA, Arumugam M, Azhar R, Beghini F, Bergstrom K, Bhatt A, Bisanz JE, Braun J, Bravo HC, Buck GA, Bushman F, Casero D, Clarke G, Collado MC, Cotter PD, Cryan JF, Demmer RT, Devkota S, Elinav E, Escobar JS, Fettweis J, Finn RD, Fodor AA, Forslund S, Franke A, Furlanello C, Gilbert J, Grice E, Haibe-Kains B, Handley S, Herd P, Holmes S, Jacobs JP, Karstens L, Knight R, Knights D, Koren O, Kwon DS, Langille M, Lindsay B, McGovern D, McHardy AC, McWeeney S, Mueller NT, Nezi L, Olm M, Palm N, Pasolli E, Raes J, Redinbo MR, R?hlemann M, Balfour Sartor R, Schloss PD, Schriml L, Segal E, Shardell M, Sharpton T, Smirnova E, Sokol H, Sonnenburg JL, Srinivasan S, Thingholm LB, Turnbaugh PJ, Upadhyay V, Walls RL, Wilmes P, Yamada T, Zeller G, Zhang M, Zhao N, Zhao L, Bao W, Culhane A, Devanarayan V, Dopazo J, Fan X, Fischer M, Jones W, Kusko R, Mason CE, Mercer TR, Sansone SA, Scherer A, Shi L, Thakkar S, Tong W, Wolfinger R, Hunter C, Segata N, Huttenhower C, Dowd JB, Jones HE, Waldron L. Reporting guidelines for human microbiome research: the STORMS checklist. Nat Med. 2021 11; 27(11):1885-1892.
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Clay MR, Patel A, Tran Q, Hedges DJ, Chang TC, Stewart E, Charville G, Cline C, Dyer MA, Orr BA. Methylation profiling reveals novel molecular classes of rhabdomyosarcoma. Sci Rep. 2021 11 15; 11(1):22213.
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