Skip to content

Advertisement

Networks analysis

Section edited by Jean-Philippe Vert

This section incorporates all aspects of network analysis including but not limited to: methods for predicting, analyzing and visualizing networks, and applications to systems biology.

Page 1 of 9

  1. Content type: Software

    The complexity of representing biological systems is compounded by an ever-expanding body of knowledge emerging from multi-omics experiments. A number of pathway databases have facilitated pathway-centric appr...

    Authors: Daniel Domingo-Fernández, Sarah Mubeen, Josep Marín-Llaó, Charles Tapley Hoyt and Martin Hofmann-Apitius

    Citation: BMC Bioinformatics 2019 20:243

    Published on:

  2. Content type: Methodology article

    Characterizing the modular structure of cellular network is an important way to identify novel genes for targeted therapeutics. This is made possible by the rising of high-throughput technology. Unfortunately,...

    Authors: Lifan Liang, Vicky Chen, Kunju Zhu, Xiaonan Fan, Xinghua Lu and Songjian Lu

    Citation: BMC Bioinformatics 2019 20:225

    Published on:

  3. Content type: Methodology article

    Gene networks in living cells can change depending on various conditions such as caused by different environments, tissue types, disease states, and development stages. Identifying the differential changes in ...

    Authors: Chen Wang, Feng Gao, Georgios B. Giannakis, Gennaro D’Urso and Xiaodong Cai

    Citation: BMC Bioinformatics 2019 20:224

    Published on:

  4. Content type: Research article

    Over one hundred different types of post-transcriptional RNA modifications have been identified in human. Researchers discovered that RNA modifications can regulate various biological processes, and RNA methyl...

    Authors: Xiangyu Wu, Zhen Wei, Kunqi Chen, Qing Zhang, Jionglong Su, Hui Liu, Lin Zhang and Jia Meng

    Citation: BMC Bioinformatics 2019 20:223

    Published on:

  5. Content type: Software

    Cell direct reprogramming technology has been rapidly developed with its low risk of tumor risk and avoidance of ethical issues caused by stem cells, but it is still limited to specific cell types. Direct repr...

    Authors: Leijie Li, Dongxue Che, Xiaodan Wang, Peng Zhang, Siddiq Ur Rahman, Jianbang Zhao, Jiantao Yu, Shiheng Tao, Hui Lu and Mingzhi Liao

    Citation: BMC Bioinformatics 2019 20:111

    Published on:

  6. Content type: Research article

    The identification of prognostic genes that can distinguish the prognostic risks of cancer patients remains a significant challenge. Previous works have proven that functional gene sets were more reliable for ...

    Authors: Xiong-Hui Zhou, Xin-Yi Chu, Gang Xue, Jiang-Hui Xiong and Hong-Yu Zhang

    Citation: BMC Bioinformatics 2019 20:85

    Published on:

  7. Content type: Methodology article

    Biomarker discovery studies have been moving the focus from a single target gene to a set of target genes. However, the number of target genes in a drug should be minimum to avoid drug side-effect or toxicity....

    Authors: Sunjoo Bang, Sangjoon Son, Sooyoung Kim and Hyunjung Shin

    Citation: BMC Bioinformatics 2019 20:74

    Published on:

  8. Content type: Software

    Reconstruction of protein-protein interaction networks (PPIN) has been riddled with controversy for decades. Particularly, false-negative and -positive interactions make this progress even more complicated. Al...

    Authors: Minoo Ashtiani, Payman Nickchi, Soheil Jahangiri-Tazehkand, Abdollah Safari, Mehdi Mirzaie and Mohieddin Jafari

    Citation: BMC Bioinformatics 2019 20:73

    Published on:

  9. Content type: Methodology article

    Clustering molecular network is a typical method in system biology, which is effective in predicting protein complexes or functional modules. However, few studies have realized that biological molecules are sp...

    Authors: Lixin Cheng, Pengfei Liu, Dong Wang and Kwong-Sak Leung

    Citation: BMC Bioinformatics 2019 20:23

    Published on:

  10. Content type: Methodology article

    In systems biology, there is an acute need for integrative approaches in heterogeneous network mining in order to exploit the continuous flux of genomic data. Simultaneous analysis of the metabolic pathways an...

    Authors: Alexandra Zaharia, Bernard Labedan, Christine Froidevaux and Alain Denise

    Citation: BMC Bioinformatics 2019 20:19

    Published on:

  11. Content type: Software

    Reverse engineering approaches to infer gene regulatory networks using computational methods are of great importance to annotate gene functionality and identify hub genes. Although various statistical algorith...

    Authors: Minzhe Zhang, Qiwei Li, Donghyeon Yu, Bo Yao, Wei Guo, Yang Xie and Guanghua Xiao

    Citation: BMC Bioinformatics 2019 20:12

    Published on:

  12. Content type: Methodology article

    Predicting drug-disease interactions (DDIs) is time-consuming and expensive. Improving the accuracy of prediction results is necessary, and it is crucial to develop a novel computing technology to predict new ...

    Authors: Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang and Ling-Yun Dai

    Citation: BMC Bioinformatics 2019 20:5

    Published on:

  13. Content type: Methodology article

    Accurate gene regulatory networks can be used to explain the emergence of different phenotypes, disease mechanisms, and other biological functions. Many methods have been proposed to infer networks from gene e...

    Authors: Phan Nguyen and Rosemary Braun

    Citation: BMC Bioinformatics 2018 19:545

    Published on:

  14. Content type: Research article

    Identifying protein complexes from protein-protein interaction (PPI) network is one of the most important tasks in proteomics. Existing computational methods try to incorporate a variety of biological evidence...

    Authors: Bo Xu, Kun Li, Wei Zheng, Xiaoxia Liu, Yijia Zhang, Zhehuan Zhao and Zengyou He

    Citation: BMC Bioinformatics 2018 19:535

    Published on:

  15. Content type: Software

    Network analyses, such as of gene co-expression networks, metabolic networks and ecological networks have become a central approach for the systems-level study of biological data. Several software packages exi...

    Authors: Deisy Morselli Gysi, Andre Voigt, Tiago de Miranda Fragoso, Eivind Almaas and Katja Nowick

    Citation: BMC Bioinformatics 2018 19:392

    Published on:

  16. Content type: Research article

    Protein complexes are one of the keys to deciphering the behavior of a cell system. During the past decade, most computational approaches used to identify protein complexes have been based on discovering dense...

    Authors: Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Ziwei Zhou, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang and Bo Xu

    Citation: BMC Bioinformatics 2018 19:332

    Published on:

  17. Content type: Research article

    Constraint-based metabolic flux analysis of knockout strategies is an efficient method to simulate the production of useful metabolites in microbes. Owing to the recent development of technologies for artifici...

    Authors: Takeyuki Tamura

    Citation: BMC Bioinformatics 2018 19:325

    Published on:

  18. Content type: Software

    Networks whose nodes have labels can seem complex. Fortunately, many have substructures that occur often (“motifs”). A societal example of a motif might be a household. Replacing such motifs by named supernode...

    Authors: Danilo Dessì, Jacopo Cirrone, Diego Reforgiato Recupero and Dennis Shasha

    Citation: BMC Bioinformatics 2018 19:318

    Published on:

  19. Content type: Research article

    Target identification is necessary for the comprehensive inference of the mechanism of action of a compound. The application of computational methods to predict the targets of bioactive compounds saves cost an...

    Authors: Hao Sun, Yiting Shen, Guangwen Luo, Yuepiao Cai and Zheng Xiang

    Citation: BMC Bioinformatics 2018 19:315

    Published on:

  20. Content type: Software

    Genetic epistasis is an often-overlooked area in the study of the genomics of complex traits. Genome-wide association studies are a useful tool for revealing potential causal genetic variants, but in this cont...

    Authors: Victor A. O. Carmelo, Lisette J. A. Kogelman, Majbritt Busk Madsen and Haja N. Kadarmideen

    Citation: BMC Bioinformatics 2018 19:277

    Published on:

  21. Content type: Research article

    There are different and complicated associations between genes and diseases. Finding the causal associations between genes and specific diseases is still challenging. In this work we present a method to predic...

    Authors: Ryohei Eguchi, Mohammand Bozlul Karim, Pingzhao Hu, Tetsuo Sato, Naoaki Ono, Shigehiko Kanaya and Md. Altaf-Ul-Amin

    Citation: BMC Bioinformatics 2018 19:264

    Published on:

  22. Content type: Research article

    Drug-disease associations provide important information for the drug discovery. Wet experiments that identify drug-disease associations are time-consuming and expensive. However, many drug-disease associations...

    Authors: Wen Zhang, Xiang Yue, Weiran Lin, Wenjian Wu, Ruoqi Liu, Feng Huang and Feng Liu

    Citation: BMC Bioinformatics 2018 19:233

    Published on:

  23. Content type: Research Article

    A fundamental fact in biology states that genes do not operate in isolation, and yet, methods that infer regulatory networks for single cell gene expression data have been slow to emerge. With single cell sequ...

    Authors: Shuonan Chen and Jessica C. Mar

    Citation: BMC Bioinformatics 2018 19:232

    Published on:

  24. Content type: Research article

    Part of the missing heritability in Genome Wide Association Studies (GWAS) is expected to be explained by interactions between genetic variants, also called epistasis. Various statistical methods have been dev...

    Authors: Clément Chatelain, Guillermo Durand, Vincent Thuillier and Franck Augé

    Citation: BMC Bioinformatics 2018 19:231

    Published on:

  25. Content type: Methodology article

    Discovery of mutated driver genes is one of the primary objective for studying tumorigenesis. To discover some relatively low frequently mutated driver genes from somatic mutation data, many existing methods i...

    Authors: Jianing Xi, Minghui Wang and Ao Li

    Citation: BMC Bioinformatics 2018 19:214

    Published on:

  26. Content type: Research article

    Link prediction in biomedical graphs has several important applications including predicting Drug-Target Interactions (DTI), Protein-Protein Interaction (PPI) prediction and Literature-Based Discovery (LBD). I...

    Authors: Gamal Crichton, Yufan Guo, Sampo Pyysalo and Anna Korhonen

    Citation: BMC Bioinformatics 2018 19:176

    Published on:

  27. Content type: Research article

    Recently, numerous laboratory studies have indicated that many microRNAs (miRNAs) are involved in and associated with human diseases and can serve as potential biomarkers and drug targets. Therefore, developin...

    Authors: Haochen Zhao, Linai Kuang, Lei Wang, Pengyao Ping, Zhanwei Xuan, Tingrui Pei and Zhelun Wu

    Citation: BMC Bioinformatics 2018 19:141

    Published on:

  28. Content type: Software

    Systems biologists study interaction data to understand the behaviour of whole cell systems, and their environment, at a molecular level. In order to effectively achieve this goal, it is critical that research...

    Authors: M. Sivade (Dumousseau), D. Alonso-López, M. Ammari, G. Bradley, N. H. Campbell, A. Ceol, G. Cesareni, C. Combe, J. De Las Rivas, N. del-Toro, J. Heimbach, H. Hermjakob, I. Jurisica, M. Koch, L. Licata, R. C. Lovering…

    Citation: BMC Bioinformatics 2018 19:134

    Published on:

  29. Content type: Software

    A number of different molecular interactions data download formats now exist, designed to allow access to these valuable data by diverse user groups. These formats include the PSI-XML and MITAB standard interc...

    Authors: M. Sivade (Dumousseau), M. Koch, A. Shrivastava, D. Alonso-López, J. De Las Rivas, N. del-Toro, C. W. Combe, B. H. M. Meldal, J. Heimbach, J. Rappsilber, J. Sullivan, Y. Yehudi and S. Orchard

    Citation: BMC Bioinformatics 2018 19:133

    Published on:

  30. Content type: Methodology Article

    Prioritizing disease genes is trying to identify potential disease causing genes for a given phenotype, which can be applied to reveal the inherited basis of human diseases and facilitate drug development. Our...

    Authors: Yaogong Zhang, Jiahui Liu, Xiaohu Liu, Xin Fan, Yuxiang Hong, Yuan Wang, YaLou Huang and MaoQiang Xie

    Citation: BMC Bioinformatics 2018 19:47

    Published on:

  31. Content type: Methodology Article

    Alzheimer’s disease (AD) is a chronic neuro-degenerative disruption of the brain which involves in large scale transcriptomic variation. The disease does not impact every regions of the brain at the same time,...

    Authors: Sumanta Ray, Sk Md Mosaddek Hossain, Lutfunnesa Khatun and Anirban Mukhopadhyay

    Citation: BMC Bioinformatics 2017 18:579

    Published on:

  32. Content type: Research Article

    Stratification of patient subpopulations that respond favorably to treatment or experience and adverse reaction is an essential step toward development of new personalized therapies and diagnostics. It is curr...

    Authors: Tianyu Kang, Wei Ding, Luoyan Zhang, Daniel Ziemek and Kourosh Zarringhalam

    Citation: BMC Bioinformatics 2017 18:565

    Published on:

2017 Journal Metrics

  • Citation Impact
    2.213 - 2-year Impact Factor
    3.114 - 5-year Impact Factor
    0.878 - Source Normalized Impact per Paper (SNIP)
    1.479 - SCImago Journal Rank (SJR)

    Usage 
    4,129,368 downloads

    Social Media Impact
    4446 mentions

Advertisement