Computational cell biology : methods and protocols /
Saved in:
| Imprint: | New York, N.Y. : Humana Press : Springer, [2018]. c2018 |
|---|---|
| Description: | 1 online resource (xi, 436 pages) : illustrations (some color) |
| Language: | English |
| Series: | Methods in molecular biology, 1940-6029 ; 1819 Methods in molecular biology (Clifton, N.J.) ; v. 1819. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11737363 |
Table of Contents:
- Rule-based models and applications in biology / Álvaro Bustos, Ignacio Fuenzalida, Rodrigo Santibáñez,Tomás Pérez-Acle, and Alberto J.M. Martin
- Optimized protein-protein interaction network usage with context filtering / Natalia Pietrosemoli and Maria Pamela Dobay
- SignaLink : multilayered regulatory networks / Luca Csabai, Márton Ölbei, Aidan Budd, Tamás Korcsmáros, and Dávid Fazekas
- Interplay between long noncoding RNAs and microRNAs in cancer / Francesco Russo, Giulia Fiscon, Federica Conte, Milena Rizzo, Paola Paci, and Marco Pellegrini
- Methods and tools in genome-wide association studies / Anja C. Gumpinger, Damian Roqueiro, Dominik G. Grimm, and Karsten M. Borgwardt
- Identifying differentially expressed genes using fluorescence-activated cell sorting (FACS) and RNA sequencing from low input samples / Natalie M. Clark, Adam P. Fisher, and Rosangela Sozzani
- Computational and experimental approaches to predict host-parasite protein-protein interactions / Yesid Cuesta-Astroz and Guilherme Oliveira
- Integrative approach to virus-host protein-protein interactions / Helen V. Cook and Lars Juhl Jensen
- SQUAD method for the qualitative modeling of regulatory networks / Akram Méndez, Carlos Ramírez, Mauricio Pérez Martínez, and Luis Mendoza
- miRNet--functional analysis and visual exploration of miRNA-target interactions in a network context / Yannan Fan and Jianguo Xia
- Systems biology analysis to understand regulatory miRNA networks in lung cancer / Meik Kunz, Andreas Pittroff, and Thomas Dandekar
- Spatial analysis of functional enrichment (SAFE) in large biological networks / Anastasia Baryshnikova
- Toward large-scale computational prediction of protein complexes / Simone Rizzetto and Attila Csikász-Nagy
- Computational models of cell cycle transitions / Rosa Hernansaiz-Ballesteros, Kirsten Jenkins, and Attila Csikász-Nagy
- Simultaneous profiling of DNA accessibility and gene expression dynamics with ATAC-Seq and RNA-Seq / David G. Hendrickson, Ilya Soifer, Bernd J. Wranik, David Botstein, and R. Scott McIsaac
- Computational network analysis for drug toxicity prediction / C. Hardt, C. Bauer, J. Schuchhardt, and R. Herwig
- Modeling the epigenetic landscape in plant development / Jose Davila-Velderrain, Jose Luis Caldu-Primo, Juan Carlos Martinez-Garcia, and Elena R. Alvarez-Buylla
- Developing network models of multiscale host responses involved in infections and diseases / Rohith Palli and Juilee Thakar
- Exploring dynamics and noise in gonadotropin-releasing hormone (GnRH) signaling / Margaritis Voliotis, Kathryn L. Garner, Hussah Alobaid, Krasimira Tsaneva-Atanasova, and Craig A. McArdle.