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Articoli di riviste sul tema "Bioinformatics"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Bottomley, S. "Bioinformatics: guide for evaluating bioinformatic software." Drug Discovery Today 4, no. 5 (1999): 240–43. http://dx.doi.org/10.1016/s1359-6446(99)01352-5.

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2

Eldəniz qızı Əhmədova, Gülnarə. "Inclusion of bioinformatics in biological sciences." NATURE AND SCIENCE 22, no. 7 (2022): 82–86. http://dx.doi.org/10.36719/2707-1146/22/82-86.

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Abstract (sommario):

Bioinformatika hesablama və biologiya elmlərinin birləşməsi kimi müəyyən edilə bilər. Proteomika və genomika tədqiqatları nəticəsində yaranan məlumatların daşqını emal etmək və təhlil etmək üçün aktuallıq bioinformatikanın önəm və əhəmiyyət qazanmasına səbəb oldu. Bununla belə, onun multidissiplinar təbiəti həm biologiya, həm də hesablama sahəsində hazırlanmış mütəxəssisə unikal tələbat yaratmışdır. İcmalda bioinformatika sahəsini təşkil edən komponentlər və bioinformatika təhsili olan fərdlərin yetişdirilməsi üçün tələb olunan fərqli təhsil meyarları təsvir edilib. Məqalə həm də Malayziyada b

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3

Kangueane, Pandjassarame. "Biotechnology, Bioinformatics and BIOINFORMATION in an autobiography." Bioinformation 16, no. 1 (2020): 39–50. http://dx.doi.org/10.6026/97320630016039.

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4

Kangueane, Pandjassarame. "Biotechnology, Bioinformatics and BIOINFORMATION in an autobiography." Bioinformation 16, no. 1 (2020): 39–50. http://dx.doi.org/10.6026/97320630016050.

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5

Shams, Shakila, M. Abdus Sobhan, Farruk Ahmed, and Ali Shihab Sabbir. "Bioinformatics." International Journal of Science and Research (IJSR) 11, no. 7 (2022): 1073–75. http://dx.doi.org/10.21275/sr22706073504.

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6

Lee, Byung-Wook, In-Sun Chu, Nam-Shin Kim, et al. "Bioinformatics Resources of the Korean Bioinformation Center (KOBIC)." Genomics & Informatics 8, no. 4 (2010): 165–69. http://dx.doi.org/10.5808/gi.2010.8.4.165.

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7

Palsson, Bernhard O. "Bioinformatics: What lies beyond bioinformatics?" Nature Biotechnology 15, no. 1 (1997): 3–4. http://dx.doi.org/10.1038/nbt0197-3.

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8

Santos, Sílvia Regina Cavani Jorge. "Bioinformatics." Brazilian Journal of Pharmaceutical Sciences 47, no. 1 (2011): 193. http://dx.doi.org/10.1590/s1984-82502011000100024.

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9

Brokaw, Stephen. "Bioinformatics:." Journal of Pharmaceutical Marketing & Management 16, no. 4 (2005): 65–80. http://dx.doi.org/10.1300/j058v16n04_04.

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10

Persidis, Aris. "Bioinformatics." Nature Biotechnology 17, no. 8 (1999): 828–30. http://dx.doi.org/10.1038/11793.

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11

Doom, T., M. Raymerand, and D. Krane. "Bioinformatics." IEEE Potentials 23, no. 1 (2004): 24–27. http://dx.doi.org/10.1109/mp.2004.1266936.

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12

Scott, L. Ridgway. "Bioinformatics." Perspectives in Biology and Medicine 47, no. 1 (2004): 135–39. http://dx.doi.org/10.1353/pbm.2004.0015.

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13

Hofestädt, R. "Bioinformatics." Yearbook of Medical Informatics 11, no. 01 (2002): 581–83. http://dx.doi.org/10.1055/s-0038-1638127.

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14

WATKINS, KAREN J. "BIOINFORMATICS." Chemical & Engineering News Archive 79, no. 8 (2001): 29–45. http://dx.doi.org/10.1021/cen-v079n008.p029.

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15

Bottomley, Steve. "Bioinformatics." Drug Discovery Today 3, no. 9 (1998): 426–28. http://dx.doi.org/10.1016/s1359-6446(98)01225-2.

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16

Bottomley, Steve, and Tim Littlejohn. "Bioinformatics." Drug Discovery Today 3, no. 11 (1998): 525–27. http://dx.doi.org/10.1016/s1359-6446(98)01255-0.

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17

Bottomley, Steve. "Bioinformatics." Drug Discovery Today 4, no. 1 (1999): 42–44. http://dx.doi.org/10.1016/s1359-6446(98)01285-9.

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18

Bottomley, Steve. "Bioinformatics." Drug Discovery Today 4, no. 10 (1999): 482–84. http://dx.doi.org/10.1016/s1359-6446(99)01398-7.

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19

Bottomley, Steve. "Bioinformatics." Drug Discovery Today 5, no. 6 (2000): 262–64. http://dx.doi.org/10.1016/s1359-6446(00)01504-x.

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20

Gattiker, James R., Jason T. L. Wang, and Paul P. Wang. "Bioinformatics." Information Sciences 139, no. 1-2 (2001): 1–2. http://dx.doi.org/10.1016/s0020-0255(01)00154-2.

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21

Barber, Stuart. "Bioinformatics." Journal of Applied Statistics 36, no. 2 (2008): 235–36. http://dx.doi.org/10.1080/02664760802340275.

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22

Kaminski, Naftali. "Bioinformatics." American Journal of Respiratory Cell and Molecular Biology 23, no. 6 (2000): 705–11. http://dx.doi.org/10.1165/ajrcmb.23.6.4291.

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23

Boguski, Mark S. "Bioinformatics." Current Opinion in Genetics & Development 4, no. 3 (1994): 383–88. http://dx.doi.org/10.1016/0959-437x(94)90025-6.

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24

Moore, Jason H. "Bioinformatics." Journal of Cellular Physiology 213, no. 2 (2007): 365–69. http://dx.doi.org/10.1002/jcp.21218.

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25

Benoît, Gerald. "Bioinformatics." Annual Review of Information Science and Technology 39, no. 1 (2006): 179–218. http://dx.doi.org/10.1002/aris.1440390112.

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26

Forman, Michele R., Sarah M. Greene, Nancy E. Avis, et al. "Bioinformatics." American Journal of Preventive Medicine 38, no. 6 (2010): 646–51. http://dx.doi.org/10.1016/j.amepre.2010.03.002.

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27

Pagel, Mark. "Evolution, Bioinformatics and Evolutionary Bioinformatics Online." Evolutionary Bioinformatics 2 (January 2006): 117693430600200. http://dx.doi.org/10.1177/117693430600200006.

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28

Mshvidobadze, Tinatin. "Bioinformatics as Emerging Tool and Pipeline Frameworks." Science Progress and Research 1, no. 4 (2021): 411–15. http://dx.doi.org/10.52152/spr/2021.162.

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Abstract (sommario):

In this article, we will discuss the areas of origin of bioinformatics in the human health care system. Due to the growing network of biological information databases such as human genomes, transcriptomics and proteomics, bioinformatics has become the approach of choosing forensic sciences. High-throughput bioinformatic analyses increasingly rely on pipeline frameworks to process sequence and metadata. Here we survey and compare the design philosophies of several current pipeline frameworks.

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29

SoRelle, Jeffrey A., Megan Wachsmann, and Brandi L. Cantarel. "Assembling and Validating Bioinformatic Pipelines for Next-Generation Sequencing Clinical Assays." Archives of Pathology & Laboratory Medicine 144, no. 9 (2020): 1118–30. http://dx.doi.org/10.5858/arpa.2019-0476-ra.

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Context.— Clinical next-generation sequencing (NGS) is being rapidly adopted, but analysis and interpretation of large data sets prompt new challenges for a clinical laboratory setting. Clinical NGS results rely heavily on the bioinformatics pipeline for identifying genetic variation in complex samples. The choice of bioinformatics algorithms, genome assembly, and genetic annotation databases are important for determining genetic alterations associated with disease. The analysis methods are often tuned to the assay to maximize accuracy. Once a pipeline has been developed, it must be validated

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30

Moreews, François, Olivier Sallou, Hervé Ménager, et al. "BioShaDock: a community driven bioinformatics shared Docker-based tools registry." F1000Research 4 (December 14, 2015): 1443. http://dx.doi.org/10.12688/f1000research.7536.1.

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Abstract (sommario):

Linux container technologies, as represented by Docker, provide an alternative to complex and time-consuming installation processes needed for scientiﬁc software. The ease of deployment and the process isolation they enable, as well as the reproducibility they permit across environments and versions, are among the qualities that make them interesting candidates for the construction of bioinformatic infrastructures, at any scale from single workstations to high throughput computing architectures. The Docker Hub is a public registry which can be used to distribute bioinformatic software as Docke

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31

Brown Epstein, Helen-Ann. "Successful Support of Bioinformatics and Translational Bioinformatics." Journal of Hospital Librarianship 12, no. 3 (2012): 266–71. http://dx.doi.org/10.1080/15323269.2012.692272.

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32

Irham, Lalu Muhammad, Danang Prasetyaning Amukti, Wirawan Adikusuma, et al. "Applied of bioinformatics in drug discovery and drug development: Bioinformatic analysis 1996-2024." BIO Web of Conferences 148 (2024): 01003. https://doi.org/10.1051/bioconf/202414801003.

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Abstract (sommario):

Drug discovery and drug development were two complex process to find new drugs. Advance science of medicine after human genome project were established accelerating the development of new field called bionformatics. Currently, bioinformatics integrated multidisciplinary studies including molecular biology, mathematics and information engineering. This study utilized the Biblioshiny and VosViewer databases as well as the Scopus database to evalute the study related to the bioinformatics in Drug Discovery and Drug Development. Our study were analyzed the scopus data which were retrieved from 199

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33

Abed, Raghad, and Yusra Al-Najjar. "Bioinformatics Storing Databases." Technium BioChemMed 2, no. 4 (2021): 96–105. http://dx.doi.org/10.47577/biochemmed.v2i4.5335.

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Abstract (sommario):

An exceptional branch of data that requires huge databases has been shown lately from genome sequencing projects which is a field that employs computational approaches to answer biological questions. With this huge sequence of information that is available for researchers, bioinformatics plays a big role in studying basic medical-biological problems. The challenge that faces bioinformatical scientists is to help in discovering genes and designing molecular models, site-directed mutagenesis, and other experiments that reveal the unknown relationships concerning the structure and function of gen

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34

Khaldi, Nora. "Bioinformatics approaches for identifying new therapeutic bioactive peptides in food." Functional Foods in Health and Disease 2, no. 10 (2012): 325. http://dx.doi.org/10.31989/ffhd.v2i10.80.

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Abstract (sommario):

The traditional methods for mining foods for bioactive peptides are tedious and long. Similar to the drug industry, the length of time to identify and deliver a commercial health ingredient that reduces disease symptoms can take anything between 5 to 10 years. Reducing this time and effort is crucial in order to create new commercially viable products with clear and important health benefits. In the past few years, bioinformatics, the science that brings together fast computational biology, and efficient genome mining, is appearing as the long awaited solution to this problem. By quickly minin

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35

Brazas, M. D., J. T. Yamada, and B. F. F. Ouellette. "Evolution in bioinformatic resources: 2009 update on the Bioinformatics Links Directory." Nucleic Acids Research 37, Web Server (2009): W3—W5. http://dx.doi.org/10.1093/nar/gkp531.

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36

Fraser, Lewis, Shaolin Liang, Simon Shiu, and Julian Tanner. "Aptamer Bioinformatics." International Journal of Molecular Sciences 18, no. 12 (2017): 2516. http://dx.doi.org/10.3390/ijms18122516.

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37

Jain, Eric. "Practical Bioinformatics." Pharmacogenomics 4, no. 2 (2003): 119–21. http://dx.doi.org/10.1517/phgs.4.2.119.22634.

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38

Peach, H. F., P. W. M. Johnson, S. Johnson, et al. "Computational / bioinformatics." Annals of Oncology 23, suppl 5 (2012): v38—v40. http://dx.doi.org/10.1093/annonc/mds164.

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39

Jacobson, A. "Bioinformatics booming." Computing in Science & Engineering 4, no. 4 (2002): 11. http://dx.doi.org/10.1109/mcise.2002.1014974.

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40

Tennant, Michele R. "Bioinformatics librarian." Reference Services Review 33, no. 1 (2005): 12–19. http://dx.doi.org/10.1108/00907320410519333.

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41

Alfred, Jane. "Bioinformatics lessons." Nature Reviews Genetics 2, no. 10 (2001): 736. http://dx.doi.org/10.1038/35093531.

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42

Valverde, Jose R. "Bioinformatics Algorithms." EMBnet.journal 20 (July 16, 2014): 781. http://dx.doi.org/10.14806/ej.20.0.781.

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43

Stafford, Ned. "Bioinformatics awarded." Genome Biology 5 (2004): spotlight—20040629–01. http://dx.doi.org/10.1186/gb-spotlight-20040629-01.

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44

Greaves, Sarah. "Virtual bioinformatics." Nature Reviews Genetics 5, no. 4 (2004): 246. http://dx.doi.org/10.1038/nrg1329.

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45

Youngs, Robin, and Edward Fisher. "Introducing bioinformatics." Journal of Laryngology & Otology 128, no. 10 (2014): 847. http://dx.doi.org/10.1017/s0022215114002618.

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46

Voolstra, C. "Microarray Bioinformatics." Briefings in Functional Genomics and Proteomics 3, no. 3 (2004): 289–90. http://dx.doi.org/10.1093/bfgp/3.3.289.

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47

Samudrala, R. "Structural Bioinformatics." Briefings in Bioinformatics 4, no. 3 (2003): 299–301. http://dx.doi.org/10.1093/bib/4.3.299.

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48

Mostafa, Javed. "Whither Bioinformatics?" Obstetrics & Gynecology 123, no. 6 (2014): 1151–52. http://dx.doi.org/10.1097/aog.0000000000000312.

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49

Salter, Hugh. "Teaching bioinformatics." Biochemical Education 26, no. 1 (1998): 3–10. http://dx.doi.org/10.1016/s0307-4412(97)00163-5.

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50

de Bono, Stephanie. "Bioinformatics boost." Trends in Biochemical Sciences 26, no. 7 (2001): 413. http://dx.doi.org/10.1016/s0968-0004(01)01914-4.

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