Relevant bibliographies by topics / Computational Molecular Biology / Journal articles

Journal articles on the topic 'Computational Molecular Biology'

To see the other types of publications on this topic, follow the link: Computational Molecular Biology.
Author: Grafiati
Published: 11 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Computational Molecular Biology.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Wong, Wing Hung. "Computational Molecular Biology." Journal of the American Statistical Association 95, no. 449 (March 2000): 322–26. http://dx.doi.org/10.1080/01621459.2000.10473934.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sadiku, Matthew N. O., Yonghui Wang, Suxia Cui, and Sarhan M. Musa. "COMPUTATIONAL BIOLOGY." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 6 (June 30, 2018): 66. http://dx.doi.org/10.23956/ijarcsse.v8i6.616.

Full text
Abstract:
Computation is an integral part of a larger revolution that will affect how science is conducted. Computational biology is an important emerging field of biology which is uniquely enabled by computation. It involves using computers to model biological problems and interpret data, especially problems in evolutionary and molecular biology. The application of computational tools to all areas of biology is producing excitements and insights into biological problems too complex for conventional approaches. This paper provides a brief introduction on computational biology.
APA, Harvard, Vancouver, ISO, and other styles
3

Lloyd, A. "Computational Methods in Molecular Biology." Briefings in Bioinformatics 1, no. 3 (January 1, 2000): 315–16. http://dx.doi.org/10.1093/bib/1.3.315.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Martin, D. "Computational Molecular Biology: An Introduction." Briefings in Bioinformatics 2, no. 2 (January 1, 2001): 204–6. http://dx.doi.org/10.1093/bib/2.2.204.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Brutlag, Douglas L. "Genomics and computational molecular biology." Current Opinion in Microbiology 1, no. 3 (June 1998): 340–45. http://dx.doi.org/10.1016/s1369-5274(98)80039-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Hunter, Lawrence. "Progress in computational molecular biology." ACM SIGBIO Newsletter 19, no. 3 (December 1999): 9–12. http://dx.doi.org/10.1145/340358.340374.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ray, L. B., L. D. Chong, and N. R. Gough. "Computational Biology." Science Signaling 2002, no. 148 (September 3, 2002): eg10-eg10. http://dx.doi.org/10.1126/stke.2002.148.eg10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Sarpeshkar, R. "Analog synthetic biology." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2012 (March 28, 2014): 20130110. http://dx.doi.org/10.1098/rsta.2013.0110.

Full text
Abstract:
We analyse the pros and cons of analog versus digital computation in living cells. Our analysis is based on fundamental laws of noise in gene and protein expression, which set limits on the energy, time, space, molecular count and part-count resources needed to compute at a given level of precision. We conclude that analog computation is significantly more efficient in its use of resources than deterministic digital computation even at relatively high levels of precision in the cell. Based on this analysis, we conclude that synthetic biology must use analog, collective analog, probabilistic and hybrid analog–digital computational approaches; otherwise, even relatively simple synthetic computations in cells such as addition will exceed energy and molecular-count budgets. We present schematics for efficiently representing analog DNA–protein computation in cells. Analog electronic flow in subthreshold transistors and analog molecular flux in chemical reactions obey Boltzmann exponential laws of thermodynamics and are described by astoundingly similar logarithmic electrochemical potentials. Therefore, cytomorphic circuits can help to map circuit designs between electronic and biochemical domains. We review recent work that uses positive-feedback linearization circuits to architect wide-dynamic-range logarithmic analog computation in Escherichia coli using three transcription factors, nearly two orders of magnitude more efficient in parts than prior digital implementations.
APA, Harvard, Vancouver, ISO, and other styles
9

Casadio, Rita, Boris Lenhard, and Michael J. E. Sternberg. "Computational Resources for Molecular Biology 2021." Journal of Molecular Biology 433, no. 11 (May 2021): 166962. http://dx.doi.org/10.1016/j.jmb.2021.166962.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Gentleman, Robert. "Current Topics in Computational Molecular Biology." Journal of the American Statistical Association 99, no. 466 (June 2004): 560. http://dx.doi.org/10.1198/jasa.2004.s328.

Full text
APA, Harvard, Vancouver, ISO, and other styles
11

Fickett, James. "Computational Molecular Biology: An Algorithmic Approach." Computers & Chemistry 25, no. 4 (July 2001): 423–24. http://dx.doi.org/10.1016/s0097-8485(01)00076-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
12

Martin, D. "Computational Molecular Biology: An Algorithmic Approach." Briefings in Bioinformatics 2, no. 3 (January 1, 2001): 303–5. http://dx.doi.org/10.1093/bib/2.3.303.

Full text
APA, Harvard, Vancouver, ISO, and other styles
13

Keele, J. W., and J. E. Wray. "Software agents in molecular computational biology." Briefings in Bioinformatics 6, no. 4 (January 1, 2005): 370–79. http://dx.doi.org/10.1093/bib/6.4.370.

Full text
APA, Harvard, Vancouver, ISO, and other styles
14

Karp, Richard, Ming Li, Pavel Pevzner, and Ron Shamir. "Special issue on computational molecular biology." Journal of Computer and System Sciences 73, no. 7 (November 2007): 1023. http://dx.doi.org/10.1016/j.jcss.2007.03.010.

Full text
APA, Harvard, Vancouver, ISO, and other styles
15

Karp, Richard M. "Heuristic algorithms in computational molecular biology." Journal of Computer and System Sciences 77, no. 1 (January 2011): 122–28. http://dx.doi.org/10.1016/j.jcss.2010.06.009.

Full text
APA, Harvard, Vancouver, ISO, and other styles
16

Cai, Yudong, Julio Vera González, Zengrong Liu, and Tao Huang. "Computational Systems Biology Methods in Molecular Biology, Chemistry Biology, Molecular Biomedicine, and Biopharmacy." BioMed Research International 2014 (2014): 1–2. http://dx.doi.org/10.1155/2014/746814.

Full text
APA, Harvard, Vancouver, ISO, and other styles
17

Lederman, Lynne. "Computational Biology." BioTechniques 40, no. 3 (March 2006): 263–65. http://dx.doi.org/10.2144/06403tn01.

Full text
APA, Harvard, Vancouver, ISO, and other styles
18

Wood, C. C. "The computational stance in biology." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1774 (April 22, 2019): 20180380. http://dx.doi.org/10.1098/rstb.2018.0380.

Full text
Abstract:
The goal of this article is to call attention to, and to express caution about, the extensive use of computation as an explanatory concept in contemporary biology. Inspired by Dennett's ‘intentional stance’ in the philosophy of mind, I suggest that a ‘computational stance’ can be a productive approach to evaluating the value of computational concepts in biology. Such an approach allows the value of computational ideas to be assessed without being diverted by arguments about whether a particular biological system is ‘actually computing’ or not. Because there is sufficient difference of agreement among computer scientists about the essential elements that constitute computation, any doctrinaire position about the application of computational ideas seems misguided. Closely related to the concept of computation is the concept of information processing. Indeed, some influential computer scientists contend that there is no fundamental difference between the two concepts. I will argue that despite the lack of widely accepted, general definitions of information processing and computation: (1) information processing and computation are not fully equivalent and there is value in maintaining a distinction between them and (2) that such value is particularly evident in applications of information processing and computation to biology.This article is part of the theme issue ‘Liquid brains, solid brains: How distributed cognitive architectures process information’.
APA, Harvard, Vancouver, ISO, and other styles
19

Schnell, S. "Computational Cell Biology." Briefings in Bioinformatics 4, no. 1 (January 1, 2003): 87–89. http://dx.doi.org/10.1093/bib/4.1.87.

Full text
APA, Harvard, Vancouver, ISO, and other styles
20

Jiang, Tao, Paul Kearney, and Ming Li. "Some open problems in computational molecular biology." ACM SIGACT News 30, no. 3 (September 1999): 43–49. http://dx.doi.org/10.1145/333623.333626.

Full text
APA, Harvard, Vancouver, ISO, and other styles
21

Jiang, Tao, Paul Kearney, and Ming Li. "Some Open Problems in Computational Molecular Biology." Journal of Algorithms 34, no. 1 (January 2000): 194–201. http://dx.doi.org/10.1006/jagm.1999.1050.

Full text
APA, Harvard, Vancouver, ISO, and other styles
22

Li, Yue, and Zhaolei Zhang. "Computational Biology in microRNA." Wiley Interdisciplinary Reviews: RNA 6, no. 4 (April 24, 2015): 435–52. http://dx.doi.org/10.1002/wrna.1286.

Full text
APA, Harvard, Vancouver, ISO, and other styles
23

Krauze, Andra V., and Kevin Camphausen. "Molecular Biology in Treatment Decision Processes—Neuro-Oncology Edition." International Journal of Molecular Sciences 22, no. 24 (December 10, 2021): 13278. http://dx.doi.org/10.3390/ijms222413278.

Full text
Abstract:
Computational approaches including machine learning, deep learning, and artificial intelligence are growing in importance in all medical specialties as large data repositories are increasingly being optimised. Radiation oncology as a discipline is at the forefront of large-scale data acquisition and well positioned towards both the production and analysis of large-scale oncologic data with the potential for clinically driven endpoints and advancement of patient outcomes. Neuro-oncology is comprised of malignancies that often carry poor prognosis and significant neurological sequelae. The analysis of radiation therapy mediated treatment and the potential for computationally mediated analyses may lead to more precise therapy by employing large scale data. We analysed the state of the literature pertaining to large scale data, computational analysis, and the advancement of molecular biomarkers in neuro-oncology with emphasis on radiation oncology. We aimed to connect existing and evolving approaches to realistic avenues for clinical implementation focusing on low grade gliomas (LGG), high grade gliomas (HGG), management of the elderly patient with HGG, rare central nervous system tumors, craniospinal irradiation, and re-irradiation to examine how computational analysis and molecular science may synergistically drive advances in personalised radiation therapy (RT) and optimise patient outcomes.
APA, Harvard, Vancouver, ISO, and other styles
24

Bourne, Philip E., and Steven E. Brenner. "Developing Computational Biology." PLoS Computational Biology 3, no. 9 (2007): e157. http://dx.doi.org/10.1371/journal.pcbi.0030157.

Full text
APA, Harvard, Vancouver, ISO, and other styles
25

Ma, Buyong, and Ruth Nussinov. "From computational quantum chemistry to computational biology: experiments and computations are (full) partners." Physical Biology 1, no. 4 (November 17, 2004): P23—P26. http://dx.doi.org/10.1088/1478-3967/1/4/p01.

Full text
APA, Harvard, Vancouver, ISO, and other styles
26

Zhao, Xing-Ming, Weidong Tian, Rui Jiang, and Jun Wan. "Computational Systems Biology." Scientific World Journal 2013 (2013): 1–2. http://dx.doi.org/10.1155/2013/350358.

Full text
APA, Harvard, Vancouver, ISO, and other styles
27

Bafna, Vineet. "Preface: Research in Computational Molecular Biology (RECOMB 2011)." Journal of Computational Biology 18, no. 11 (November 2011): 1369. http://dx.doi.org/10.1089/cmb.2011.009p.

Full text
APA, Harvard, Vancouver, ISO, and other styles
28

Sun, Fengzhu. "Preface: Research in Computational Molecular Biology (RECOMB 2013)." Journal of Computational Biology 20, no. 10 (October 2013): 713. http://dx.doi.org/10.1089/cmb.2013.020p.

Full text
APA, Harvard, Vancouver, ISO, and other styles
29

Dror, Ron O., Robert M. Dirks, J. P. Grossman, Huafeng Xu, and David E. Shaw. "Biomolecular Simulation: A Computational Microscope for Molecular Biology." Annual Review of Biophysics 41, no. 1 (June 9, 2012): 429–52. http://dx.doi.org/10.1146/annurev-biophys-042910-155245.

Full text
APA, Harvard, Vancouver, ISO, and other styles
30

Kohlbacher, O., and H. P. Lenhof. "BALL--rapid software prototyping in computational molecular biology." Bioinformatics 16, no. 9 (September 1, 2000): 815–24. http://dx.doi.org/10.1093/bioinformatics/16.9.815.

Full text
APA, Harvard, Vancouver, ISO, and other styles
31

Lenhard, Boris, and Michael J. E. Sternberg. "Computational Resources for Molecular Biology: Special Issue 2020." Journal of Molecular Biology 432, no. 11 (May 2020): 3361–63. http://dx.doi.org/10.1016/j.jmb.2020.04.010.

Full text
APA, Harvard, Vancouver, ISO, and other styles
32

Barron, Sarah, Matthew Witten, and Gongxian Liu. "A bibliography on computational molecular biology and genetics." Mathematical and Computer Modelling 16, no. 6-7 (June 1992): 245–319. http://dx.doi.org/10.1016/0895-7177(92)90166-i.

Full text
APA, Harvard, Vancouver, ISO, and other styles
33

Lupieri, Paola, Chuong Ha Hung Nguyen, Zhaleh Ghaemi Bafghi, Alejandro Giorgetti, and Paolo Carloni. "Computational molecular biology approaches to ligand‐target interactions." HFSP Journal 3, no. 4 (August 2009): 228–39. http://dx.doi.org/10.2976/1.3092784.

Full text
APA, Harvard, Vancouver, ISO, and other styles
34

Lipton, R. J., T. G. Marr, and J. D. Welsh. "Computational approaches to discovering semantics in molecular biology." Proceedings of the IEEE 77, no. 7 (July 1989): 1056–60. http://dx.doi.org/10.1109/5.30755.

Full text
APA, Harvard, Vancouver, ISO, and other styles
35

Rojo-Domínguez, Arturo. "Srinivas Aluru (ed): Handbook of Computational Molecular Biology." Bulletin of Mathematical Biology 69, no. 8 (April 24, 2007): 2775–76. http://dx.doi.org/10.1007/s11538-007-9217-x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
36

Sneyd, J. "Computational Cell Biology." Mathematical Medicine and Biology 20, no. 1 (March 1, 2003): 131–33. http://dx.doi.org/10.1093/imammb/20.1.131.

Full text
APA, Harvard, Vancouver, ISO, and other styles
37

Restrepo, Silvia, Andrés Pinzón, Luis Miguel Rodríguez-R, Roberto Sierra, Alejandro Grajales, Adriana Bernal, Emiliano Barreto, et al. "Computational Biology in Colombia." PLoS Computational Biology 5, no. 10 (October 30, 2009): e1000535. http://dx.doi.org/10.1371/journal.pcbi.1000535.

Full text
APA, Harvard, Vancouver, ISO, and other styles
38

Neshich, Goran. "Computational Biology in Brazil." PLoS Computational Biology 3, no. 10 (2007): e185. http://dx.doi.org/10.1371/journal.pcbi.0030185.

Full text
APA, Harvard, Vancouver, ISO, and other styles
39

Bassi, Sebastian, Virginia González, and Gustavo Parisi. "Computational Biology in Argentina." PLoS Computational Biology 3, no. 12 (December 28, 2007): e257. http://dx.doi.org/10.1371/journal.pcbi.0030257.

Full text
APA, Harvard, Vancouver, ISO, and other styles
40

Noble, Denis. "The rise of computational biology." Nature Reviews Molecular Cell Biology 3, no. 6 (June 2002): 459–63. http://dx.doi.org/10.1038/nrm810.

Full text
APA, Harvard, Vancouver, ISO, and other styles
41

Lilburn, T. G. "Computational aspects of systematic biology." Briefings in Bioinformatics 7, no. 2 (March 7, 2006): 186–95. http://dx.doi.org/10.1093/bib/bbl005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
42

Park, Heewon, and Satoru Miyano. "Computational Tactics for Precision Cancer Network Biology." International Journal of Molecular Sciences 23, no. 22 (November 19, 2022): 14398. http://dx.doi.org/10.3390/ijms232214398.

Full text
Abstract:
Network biology has garnered tremendous attention in understanding complex systems of cancer, because the mechanisms underlying cancer involve the perturbations in the specific function of molecular networks, rather than a disorder of a single gene. In this article, we review the various computational tactics for gene regulatory network analysis, focused especially on personalized anti-cancer therapy. This paper covers three major topics: (1) cell line’s (or patient’s) cancer characteristics specific gene regulatory network estimation, which enables us to reveal molecular interplays under varying conditions of cancer characteristics of cell lines (or patient); (2) computational approaches to interpret the multitudinous and massive networks; (3) network-based application to uncover molecular mechanisms of cancer and related marker identification. We expect that this review will help readers understand personalized computational network biology that plays a significant role in precision cancer medicine.
APA, Harvard, Vancouver, ISO, and other styles
43

Sindi, S. "Handbook of Computational Molecular Biology. * Edited by Srinivas Aluru." Briefings in Bioinformatics 8, no. 3 (May 25, 2007): 201–3. http://dx.doi.org/10.1093/bib/bbm002.

Full text
APA, Harvard, Vancouver, ISO, and other styles
44

Felsenstein, Joe. "Computational molecular biology: Sources and methods for sequence analysis." Trends in Genetics 5 (1989): 419. http://dx.doi.org/10.1016/0168-9525(89)90203-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
45

Konopka, AndrzejK. "Computational molecular biology: From sequence research to software development." Computers & Chemistry 17, no. 2 (June 1993): v—vi. http://dx.doi.org/10.1016/0097-8485(93)85001-s.

Full text
APA, Harvard, Vancouver, ISO, and other styles
46

Kornelyuk, A. I. "COMPUTATIONAL GRID TECHNOLOGIES AND THEIR APPLICATIONS IN MOLECULAR BIOLOGY." Visnik Nacional'noi' academii' nauk Ukrai'ni 10 (October 20, 2018): 44–51. http://dx.doi.org/10.15407/visn2018.10.044.

Full text
APA, Harvard, Vancouver, ISO, and other styles
47

Cushing, Judy Bayard. "Metadata and Semantics: A Computational Challenge for Molecular Biology." OMICS: A Journal of Integrative Biology 7, no. 1 (January 2003): 23–24. http://dx.doi.org/10.1089/153623103322006535.

Full text
APA, Harvard, Vancouver, ISO, and other styles
48

Salzberg, Steven L. "Computational Molecular Biology: An Algorithmic Approach. Pavel A. Pevzner." Quarterly Review of Biology 76, no. 4 (December 2001): 485–86. http://dx.doi.org/10.1086/420567.

Full text
APA, Harvard, Vancouver, ISO, and other styles
49

Gelfand, M. S. "Second Moscow Conference on Computational Molecular Biology MCCMB’05." Biophysics 51, no. 4 (August 2006): 675–76. http://dx.doi.org/10.1134/s0006350906040269.

Full text
APA, Harvard, Vancouver, ISO, and other styles
50

Wieser, Daniela, Irene Papatheodorou, Matthias Ziehm, and Janet M. Thornton. "Computational biology for ageing." Philosophical Transactions of the Royal Society B: Biological Sciences 366, no. 1561 (January 12, 2011): 51–63. http://dx.doi.org/10.1098/rstb.2010.0286.

Full text
Abstract:
High-throughput genomic and proteomic technologies have generated a wealth of publicly available data on ageing. Easy access to these data, and their computational analysis, is of great importance in order to pinpoint the causes and effects of ageing. Here, we provide a description of the existing databases and computational tools on ageing that are available for researchers. We also describe the computational approaches to data interpretation in the field of ageing including gene expression, comparative and pathway analyses, and highlight the challenges for future developments. We review recent biological insights gained from applying bioinformatics methods to analyse and interpret ageing data in different organisms, tissues and conditions.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'Computational Molecular Biology' for other source types:
Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography