Computational Biology Solutions to Identify Enhancers-target Gene Pairs by Judith Mary Hariprakash, Francesco Ferrari

“…Their characterization still remains elusive especially due to challenges in achieving a comprehensive pairing of enhancers and target genes. A number of computational biology solutions have been proposed to address this problem leveraging the increasing availability of functional genomics data and the improved mechanistic understanding of enhancer action.In this review we focus on computational methods for genome-wide definition of enhancer-target gene pairs. …”
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Progress in and Opportunities for Applying Information Theory to Computational Biology and Bioinformatics by Alon Bartal, Kathleen M. Jagodnik

“…This editorial is intended to provide a brief history of the application of Information Theory to the fields of Computational Biology and Bioinformatics; to succinctly summarize the current state of associated research, and open challenges; and to describe the scope of the invited content for this Special Issue of the journal <i>Entropy</i> with the theme of “Information Theory in Computational Biology” [...]…”
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Nonnegative matrix factorization: an analytical and interpretive tool in computational biology. by Karthik Devarajan

“…PLoS Computational Biology…”
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PLoS Computational Biology conference postcards from PSB 2010. by Ruchira S Datta, Matthew W Lux, Philip E Bourne

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PLoS Computational Biology conference postcards from ISMB 2010. by Guilhem Chalancon, Mickey Kosloff, Hatice Ulku Osmanbeyoglu, Saras Saraswathi

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A New Mixed Fractional Derivative with Applications in Computational Biology by Khalid Hattaf

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Ten Simple Rules for Developing Usable Software in Computational Biology. by Markus List, Peter Ebert, Felipe Albrecht

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Information Theory in Computational Biology: Where We Stand Today by Pritam Chanda, Eduardo Costa, Jie Hu, Shravan Sukumar, John Van Hemert, Rasna Walia

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Ten simple rules for defining a computational biology project by William Stafford Noble

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Submit a Topic Page to PLOS Computational Biology and Wikipedia. by Daniel Mietchen, Shoshana Wodak, Szymon Wasik, Natalia Szostak, Christophe Dessimoz

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Computational Biology: Moving into the Future One Click at a Time. by Christiana N Fogg, Diane E Kovats

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Ten simple rules for defining a computational biology project. by William Stafford Noble

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Integrative structural and computational biology of phytases for the animal feed industry by Nezhad, Nima Ghahremani, Raja Abd Rahman, Raja Noor Zaliha, Normi, Yahaya M., Oslan, Siti Nurbaya, Mohd Shariff, Fairolniza, Leow, Adam Thean Chor

“…Hence, the integration of structural and computational biology paves the way to phytase tailoring to overcome the limitations of marginally stable phytases to be used in animal feeds.…”
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Combinatorial pattern matching algorithms in computational biology using Perl and R / by Valiente, Gabriel, 1963-

Subjects: “…Computational biology…”

A practical guide to methods controlling false discoveries in computational biology by Keegan Korthauer, Patrick K. Kimes, Claire Duvallet, Alejandro Reyes, Ayshwarya Subramanian, Mingxiang Teng, Chinmay Shukla, Eric J. Alm, Stephanie C. Hicks

“…We investigate the accuracy, applicability, and ease of use of two classic and six modern FDR-controlling methods by performing a systematic benchmark comparison using simulation studies as well as six case studies in computational biology. Results Methods that incorporate informative covariates are modestly more powerful than classic approaches, and do not underperform classic approaches, even when the covariate is completely uninformative. …”
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The development of computational biology in Pakistan: still a long way to go. by Muhammad Ilyas, Samrene Sadique, Kahlid Masood, Raheel Qamar, Shahid Nadeem Chohan

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Genome-wide circadian regulation: A unique system for computational biology by Linying Sun, Junjie Ma, Christoph W. Turck, Pin Xu, Guang-Zhong Wang

“…Genome-scale circadian activity represents a fascinating study model for computational biology. For this purpose, systems biology methods are promising exploratory tools to decode the global regulatory principles of circadian regulation.…”
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The Development of Computational Biology in South Africa: Successes Achieved and Lessons Learnt. by Nicola J Mulder, Alan Christoffels, Tulio de Oliveira, Junaid Gamieldien, Scott Hazelhurst, Fourie Joubert, Judit Kumuthini, Ché S Pillay, Jacky L Snoep, Özlem Tastan Bishop, Nicki Tiffin

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In silico nanotoxicology: The computational biology state of art for nanomaterial safety assessments by Suresh K. Verma, Aditya Nandi, Faizan Zarreen Simnani, Dibyangshee Singh, Adrija Sinha, Shaikh Sheeran Naser, Jyotirmayee Sahoo, Sudakshya S. Lenka, Pritam Kumar Panda, Ateet Dutt, Nagendra Kumar Kaushik, Deobrat Singh, Mrutyunjay Suar

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Innovating Computational Biology and Intelligent Medicine: ICIBM 2019 Special Issue by Yan Guo, Xia Ning, Ewy Mathé, Kai Wang, Lang Li, Chi Zhang, Zhongming Zhao

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