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Books on the topic 'Bioinformatics challenges'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Sergiy, Butenko, Chaovalitwongse W. Art, Pardalos P. M. 1954-, and DIMACS Workshop on Clustering Problems in Biological Networks (2006 : Rutgers University), eds. Clustering challenges in biological networks. World Scientific, 2009.

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2

Gustavo, Stolovitzky, Kahlem Pascal, Califano Andrea, DREAM2 Conference (2007 : New York, N.Y.), and ENFIN-DREAM Conference (2008 : Madrid, Spain), eds. The challenges of systems biology: Community efforts to harness biological complexity. Published by Blackwell Pub. on behalf of the New York Academy of Sciences, 2009.

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3

Gustavo, Stolovitzky, Kahlem Pascal, Califano Andrea, DREAM2 Conference (2007 : New York, N.Y.), and ENFIN-DREAM Conference (2008 : Madrid, Spain), eds. The challenges of systems biology: Community efforts to harness biological complexity. Published by Blackwell Pub. on behalf of the New York Academy of Sciences, 2009.

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4

Ferrández, José Manuel. New Challenges on Bioinspired Applications: 4th International Work-conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. Proceedings, Part II. Springer Berlin Heidelberg, 2011.

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5

International Conference on Conceptual Modeling (27th 2008 Barcelona, Spain). Advances in conceptual modeling--challenges and opportunities: ER 2008 workshops CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM, Barcelona, Spain, October 20-23, 2008 : proceedings. Springer, 2008.

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6

International Conference on Conceptual Modeling (27th 2008 Barcelona, Spain). Advances in conceptual modeling--challenges and opportunities: ER 2008 workshops CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM, Barcelona, Spain, October 20-23, 2008 : proceedings. Springer, 2008.

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7

Camara, Oscar. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers. Springer Berlin Heidelberg, 2013.

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8

Eisenberg, David, Russ Altman, Proceedings of the National Academy of Sciences, Samuel Karlin, and National Academy of Sciences. Frontiers of Bioinformatics: Unsolved Problems and Challenges. National Academies Press, 2005.

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9

Next generation sequencing technologies and challenges in sequence assembly. Springer, 2014.

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10

El-Metwally, Sara, Osama M. Ouda, and Mohamed Helmy. Next Generation Sequencing Technologies and Challenges in Sequence Assembly. Springer, 2014.

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11

Eisenberg, David, Russ Altman, and Samuel Karlin. Frontiers of Bioinformatics: Unsolved Problems And Challenges (Sackler NAS Colloquium). Natl Academy Pr, 2005.

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12

Thorne, David, Teresa K. Attwood, and Stephen R. Pettifer. Bioinformatics Challenges at the Interface of Biology and Computer Science: Mind the Gap. Wiley & Sons, Incorporated, John, 2016.

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13

Thorne, David, Teresa K. Attwood, and Stephen R. Pettifer. Bioinformatics Challenges at the Interface of Biology and Computer Science: Mind the Gap. Wiley & Sons, Incorporated, John, 2016.

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14

Thorne, David, Teresa K. Attwood, and Stephen R. Pettifer. Bioinformatics Challenges at the Interface of Biology and Computer Science: Mind the Gap. Wiley & Sons, Limited, John, 2016.

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15

Thorne, David, Teresa K. Attwood, and Stephen R. Pettifer. Bioinformatics Challenges at the Interface of Biology and Computer Science: Mind the Gap. Wiley-Blackwell, 2016.

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16

Pettifer, Stephen, David Thorne, and Teresa K. Attwood. Bioinformatics Challenges at the Interface of Biology and Computer Science: Mind the Gap. Wiley & Sons, Incorporated, John, 2016.

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17

Gupta, Deepak, Valentina Emilia Balas, and D. Jude Hemanth. Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions. Elsevier Science & Technology, 2019.

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18

Gupta, Deepak, Valentina Emilia Balas, and Hemanth D. Jude. Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions. Elsevier Science & Technology Books, 2019.

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19

Jurisica, Igor, and Andreas Holzinger. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-Of-the-Art and Future Challenges. Springer London, Limited, 2014.

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20

Harland, Lee, and Mark Forster. Open Source Software in Life Science Research: Practical Solutions to Common Challenges in the Pharmaceutical Industry and Beyond. Elsevier Science & Technology, 2012.

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21

Croce, Carlo Maria, Alfredo Ferro, and Alessandro Laganà, eds. Bioinformatics of Non-Coding RNAs with Applications to Biomedicine: Recent Advances and Open Challenges. Frontiers Media SA, 2017. http://dx.doi.org/10.3389/978-2-88945-096-1.

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22

Open Source Software In Life Science Research Practical Solutions To Common Challenges In The Pharmaceutical Industry And Beyond. Woodhead Publishing, 2013.

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23

Mehta, Vaishali, Dolly Sharma, Monika Mangla, Anita Gehlot, Rajesh Singh, and Sergio Márquez Sánchez, eds. Challenges and Opportunities for Deep Learning Applications in Industry 4.0. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150360601220101.

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The competence of deep learning for the automation and manufacturing sector has received astonishing attention in recent times. The manufacturing industry has recently experienced a revolutionary advancement despite several issues. One of the limitations for technical progress is the bottleneck encountered due to the enormous increase in data volume for processing, comprising various formats, semantics, qualities and features. Deep learning enables detection of meaningful features that are difficult to perform using traditional methods. The book takes the reader on a technological voyage of th

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24

Epidemiological surveillance of current infections: new threats and challenges. Remedium Privolzhye, 2021. http://dx.doi.org/10.21145/978-5-6046124-2-2_2021.

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The collection contains the scientific works of the All-Russian Scientific and Practical conference «Epidemiological surveillance of current infections: new threats and challenges», held by the FBIS «Academician I.N. Blokhina Nizhny Novgorod Scientific Research Institute of Epidemiology and Microbiology» of Rospotrebnadzor in honor of the 100th anniversary of the outstanding scientist I. N. Blokhina, who headed the Institute for 44 years. Leading scientists and specialists from 57 scientific and practical institutions of Rospotrebnadzor, healthcare, education and other organizations from 32 re

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25

Young, Alistair, Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Springer, 2016.

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26

Young, Alistair, Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Springer, 2014.

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27

Poroikov, V. P., and R. G. Efremov, eds. PROCEEDINGS BOOK OF THE XXIX SYMPOSIUM “BIOINFORMATICS AND COMPUTER-AIDED DRUG DISCOVERY”. Institute of Biomedical Chemistry, Moscow, Russia, 2023. http://dx.doi.org/10.18097/bcadd2023.

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The materials of the XXIX International Symposium “Bioinformatics and Computer-Aided Drug Discovery” (Virtual, 18-20 September 2023) are presented. This Symposium is dedicated to the emerging challenges and opportunities for in silicodrug discovery. Contemporary fields of biomedical science devoted to the analysis of normal and pathological states of the organism and revealing the pathological processes at the cellular and molecular levels are discussed. The main topics include: development and practical application of computational methods for finding and validation of new pharmacological tar

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28

Poroikov, Vladimir, and Roman Efremov, eds. PROCEEDINGS BOOK OF THE XXVIII SYMPOSIUM "BIOINFORMATICS AND COMPUTER-AIDED DRUG DISCOVERY", MOSCOW, 2022. Institute of Biomedical Chemistry, Moscow, Russia, 2022. http://dx.doi.org/10.18097/bcadd2022.

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The materials of the XXVIII Symposium "Bioinformatics and Computer-Aided Drug Discovery" are presented. This Symposium is dedicated to the emerging challenges and opportunities for in silico drug discovery.The Symposium's main topics: development and practical application of computational methods for finding and validation of new pharmacological targets, in silico design of potent and safe pharmaceutical agents, optimization of the structure and properties of drug-like compounds, rational approaches to the utilization of pharmacotherapeutic remedies in medical practice. This information will b

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29

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-Of-the-Art and Future Challenges. Springer, 2014.

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30

Scientific Data Management: Challenges, Existing Technology, and Deployment (Chapman & Hall/Crc Computational Science). Chapman & Hall/CRC, 2009.

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31

Camara, Oscar, Tommaso Mansi, and Mihaela Pop. Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges: 5th International Workshop, STACOM 2014, Held in ... September 18, 2014, Revised Selected Papers. Springer, 2015.

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32

Camara, Oscar, Mihaela Pop, and E. Konukoglu. Statistical Atlases and Computational Models of the Heart : Imaging and Modelling Challenges: Second International Workshop, STACOM 2011, Held in ... September 22, 2011, Revised Selected Papers. Springer, 2012.

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33

Camara, Oscar, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 26, 2013. Revised Selected Papers. Springer London, Limited, 2014.

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34

Camara, Oscar, Mihaela Pop, Kawal Rhode, Maxime Sermesant, and E. Konukoglu. Statistical Atlases and Computational Models of the Heart : Imaging and Modelling Challenges: Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011, Revised Selected Papers. Springer, 2012.

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35

Camara, Oscar, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Springer London, Limited, 2016.

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36

Camara, Oscar, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges: 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. Springer International Publishing AG, 2015.

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37

Camara, Oscar, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart : Imaging and Modelling Challenges: 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. Springer London, Limited, 2014.

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38

Raychaudhuri, Soumya. Computational Text Analysis. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198567400.001.0001.

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This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest methods and applications to proteomics, sequence analysis and gene expression data. Modern genomics generates large and comprehensive data sets but their interpretation requires an understanding of a vast number of genes, their complex functions, and interactions. Keeping up with the literature on a single gene is a challenge itself-for thousands of genes it is simply impossible. Here, Soumya Raychaudhuri presents the techniques and algorithms needed to access and utili

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