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  1. Threshold regression models are a diverse set of non-regular regression models that all depend on change points or thresholds. They provide a simple but elegant and interpretable way to model certain kinds of ...

    Authors: Youyi Fong, Ying Huang, Peter B. Gilbert and Sallie R. Permar
    Citation: BMC Bioinformatics 2017 18:454
  2. Genome rearrangements are essential processes for evolution and are responsible for existing varieties of genome architectures. Many studies have been conducted to obtain an algorithm that identifies the minim...

    Authors: Ghada H. Badr and Haifa A. Al-aqel
    Citation: BMC Bioinformatics 2017 18(Suppl 12):427

    This article is part of a Supplement: Volume 18 Supplement 12

  3. The binding of small ligands to RNA elements can cause substantial changes in the RNA structure. This constitutes an important, fast-acting mechanism of ligand-controlled transcriptional and translational gene...

    Authors: Felix Kühnl, Peter F. Stadler and Sebastian Will
    Citation: BMC Bioinformatics 2017 18(Suppl 12):424

    This article is part of a Supplement: Volume 18 Supplement 12

  4. A network motif is defined as a statistically significant and recurring subgraph pattern within a network. Most existing instance collection methods are not feasible due to high memory usage issues and provisi...

    Authors: Wooyoung Kim and Lynnette Haukap
    Citation: BMC Bioinformatics 2017 18(Suppl 12):423

    This article is part of a Supplement: Volume 18 Supplement 12

  5. The constant progress in sequencing technology leads to ever increasing amounts of genomic data. In the light of current evidence transposable elements (TEs for short) are becoming useful tools for learning ab...

    Authors: Michał Piotr Startek, Jakub Nogły, Agnieszka Gromadka, Dariusz Grzebelus and Anna Gambin
    Citation: BMC Bioinformatics 2017 18(Suppl 12):422

    This article is part of a Supplement: Volume 18 Supplement 12

  6. Long non-coding RNA (lncRNA) plays important roles in many biological and pathological processes, including transcriptional regulation and gene regulation. As lncRNA interacts with multiple proteins, predicting l...

    Authors: Xiaoxiong Zheng, Yang Wang, Kai Tian, Jiaogen Zhou, Jihong Guan, Libo Luo and Shuigeng Zhou
    Citation: BMC Bioinformatics 2017 18(Suppl 12):420

    This article is part of a Supplement: Volume 18 Supplement 12

  7. Predicting protein complexes from protein-protein interaction (PPI) networks has been studied for decade. Various methods have been proposed to address some challenging issues of this problem, including overla...

    Authors: Bin Xu, Yang Wang, Zewei Wang, Jiaogen Zhou, Shuigeng Zhou and Jihong Guan
    Citation: BMC Bioinformatics 2017 18(Suppl 12):419

    This article is part of a Supplement: Volume 18 Supplement 12

  8. Studies have shown that enhancers are significant regulatory elements to play crucial roles in gene expression regulation. Since enhancers are unrelated to the orientation and distance to their target genes, i...

    Authors: Hongda Bu, Yanglan Gan, Yang Wang, Shuigeng Zhou and Jihong Guan
    Citation: BMC Bioinformatics 2017 18(Suppl 12):418

    This article is part of a Supplement: Volume 18 Supplement 12

  9. Homology search is still a significant step in functional analysis for genomic data. Profile Hidden Markov Model-based homology search has been widely used in protein domain analysis in many different species....

    Authors: Prapaporn Techa-Angkoon, Yanni Sun and Jikai Lei
    Citation: BMC Bioinformatics 2017 18(Suppl 12):414

    This article is part of a Supplement: Volume 18 Supplement 12

  10. Genomic structural variants (SV) play a significant role in the onset and progression of cancer. Genomic deletions can create oncogenic fusion genes or cause the loss of tumor suppressing gene function which c...

    Authors: Matthew Hayes and Jeremy S. Pearson
    Citation: BMC Bioinformatics 2017 18(Suppl 12):413

    This article is part of a Supplement: Volume 18 Supplement 12

  11. Methylation is a common modification of DNA. It has been a very important and hot topic to study the correlation between methylation and diseases in medical science. Because of the special process with bisulfi...

    Authors: Min Li, Ping Huang, Xiaodong Yan, Jianxin Wang, Yi Pan and Fang-Xiang Wu
    Citation: BMC Bioinformatics 2017 18(Suppl 12):410

    This article is part of a Supplement: Volume 18 Supplement 12

  12. Drug Combination is one of the effective approaches for treating complex diseases. However, determining combinative drug pairs in clinical trials is still costly. Thus, computational approaches are used to ide...

    Authors: Jian-Yu Shi, Jia-Xin Li, Ke Gao, Peng Lei and Siu-Ming Yiu
    Citation: BMC Bioinformatics 2017 18(Suppl 12):409

    This article is part of a Supplement: Volume 18 Supplement 12

  13. The recent release of the gene-targeted metagenomics assembler Xander has demonstrated that using the trained Hidden Markov Model (HMM) to guide the traversal of de Bruijn graph gives obvious advantage over other...

    Authors: Dinghua Li, Yukun Huang, Chi-Ming Leung, Ruibang Luo, Hing-Fung Ting and Tak-Wah Lam
    Citation: BMC Bioinformatics 2017 18(Suppl 12):408

    This article is part of a Supplement: Volume 18 Supplement 12

  14. Chromosomal deletions represent an important class of human genetic variation. Various methods have been developed to mine “next-generation” sequencing (NGS) data to detect deletions and quantify their clonal ...

    Authors: Colleen M. Bosworth, Sneha Grandhi, Meetha P. Gould and Thomas LaFramboise
    Citation: BMC Bioinformatics 2017 18(Suppl 12):407

    This article is part of a Supplement: Volume 18 Supplement 12

  15. Researchers have previously developed a multitude of methods designed to identify biological pathways associated with specific clinical or experimental conditions of interest, with the aim of facilitating biol...

    Authors: Chenggang Yu, Hyung Jun Woo, Xueping Yu, Tatsuya Oyama, Anders Wallqvist and Jaques Reifman
    Citation: BMC Bioinformatics 2017 18:453
  16. Recent advances in omics technology have produced a large amount of liver-related data. A comprehensive and up-to-date source of liver-related data is needed to allow biologists to access the latest data. Howe...

    Authors: Tao Chen, Mansheng Li, Qiang He, Lei Zou, Youhuan Li, Cheng Chang, Dongyan Zhao and Yunping Zhu
    Citation: BMC Bioinformatics 2017 18:452
  17. Authors: Eric C. Rouchka, Julia H. Chariker, David A. Tieri, Juw Won Park, Shreedharkumar Rajurkar, Vikas Singh, Nishchal K. Verma, Yan Cui, Mark Farman, Bradford Condon, Neil Moore, Jerzy Jaromczyk, Jolanta Jaromczyk, Daniel Harris, Patrick Calie, Eun Kyong Shin…
    Citation: BMC Bioinformatics 2017 18(Suppl 9):377

    This article is part of a Supplement: Volume 18 Supplement 9

    The Correction to this article has been published in BMC Bioinformatics 2017 18:490

  18. The prediction of human gene–abnormal phenotype associations is a fundamental step toward the discovery of novel genes associated with human disorders, especially when no genes are known to be associated with ...

    Authors: Marco Notaro, Max Schubach, Peter N. Robinson and Giorgio Valentini
    Citation: BMC Bioinformatics 2017 18:449
  19. Pre-processing of high-throughput sequencing data for immune repertoire profiling is essential to insure high quality input for downstream analysis. VDJPipe is a flexible, high-performance tool that can perfor...

    Authors: Scott Christley, Mikhail K. Levin, Inimary T. Toby, John M. Fonner, Nancy L. Monson, William H. Rounds, Florian Rubelt, Walter Scarborough, Richard H. Scheuermann and Lindsay G. Cowell
    Citation: BMC Bioinformatics 2017 18:448
  20. Predicting disease-associated genes is helpful for understanding the molecular mechanisms during the disease progression. Since the pathological mechanisms of neurodegenerative diseases are very complex, tradi...

    Authors: Xue Jiang, Han Zhang, Feng Duan and Xiongwen Quan
    Citation: BMC Bioinformatics 2017 18:447
  21. Named entity recognition is critical for biomedical text mining, where it is not unusual to find entities labeled by a wide range of different terms. Nowadays, ontologies are one of the crucial enabling techno...

    Authors: Maria Taboada, Hadriana Rodriguez, Ranga C. Gudivada and Diego Martinez
    Citation: BMC Bioinformatics 2017 18:446
  22. Drug-drug interactions (DDIs) often bring unexpected side effects. The clinical recognition of DDIs is a crucial issue for both patient safety and healthcare cost control. However, although text-mining-based s...

    Authors: Wei Zheng, Hongfei Lin, Ling Luo, Zhehuan Zhao, Zhengguang Li, Yijia Zhang, Zhihao Yang and Jian Wang
    Citation: BMC Bioinformatics 2017 18:445
  23. Small insertions and deletions (indels) have a significant influence in human disease and, in terms of frequency, they are second only to single nucleotide variants as pathogenic mutations. As the majority of ...

    Authors: Michael Ferlaino, Mark F. Rogers, Hashem A. Shihab, Matthew Mort, David N. Cooper, Tom R. Gaunt and Colin Campbell
    Citation: BMC Bioinformatics 2017 18:442
  24. The human microbiota is associated with various disease states and holds a great promise for non-invasive diagnostics. However, microbiota data is challenging for traditional diagnostic approaches: It is high-...

    Authors: A. Eck, L. M. Zintgraf, E. F. J. de Groot, T. G. J. de Meij, T. S. Cohen, P. H. M. Savelkoul, M. Welling and A. E. Budding
    Citation: BMC Bioinformatics 2017 18:441
  25. Computational fusion approaches to drug-target interaction (DTI) prediction, capable of utilizing multiple sources of background knowledge, were reported to achieve superior predictive performance in multiple ...

    Authors: Bence Bolgár and Péter Antal
    Citation: BMC Bioinformatics 2017 18:440
  26. Because phylogenetic inference is an important basis for answering many evolutionary problems, a large number of algorithms have been developed. Some of these algorithms have been improved by integrating gene ...

    Authors: Jia Song, Sisi Zheng, Nhung Nguyen, Youjun Wang, Yubin Zhou and Kui Lin
    Citation: BMC Bioinformatics 2017 18:439
  27. Although ultrahigh-throughput RNA-Sequencing has become the dominant technology for genome-wide transcriptional profiling, the vast majority of RNA-Seq studies typically profile only tens of samples, and most ...

    Authors: Joseph N. Paulson, Cho-Yi Chen, Camila M. Lopes-Ramos, Marieke L. Kuijjer, John Platig, Abhijeet R. Sonawane, Maud Fagny, Kimberly Glass and John Quackenbush
    Citation: BMC Bioinformatics 2017 18:437
  28. Copy number variations (CNVs) are the main genetic structural variations in cancer genome. Detecting CNVs in genetic exome region is efficient and cost-effective in identifying cancer associated genes. Many to...

    Authors: Jianing Gao, Changlin Wan, Huan Zhang, Ao Li, Qiguang Zang, Rongjun Ban, Asim Ali, Zhenghua Yu, Qinghua Shi, Xiaohua Jiang and Yuanwei Zhang
    Citation: BMC Bioinformatics 2017 18:436
  29. The 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) was held on December 8–10, 2016 in Houston, Texas, USA. ICIBM included eight scientific sessions, four tutorials, one poster s...

    Authors: Zhandong Liu, W. Jim Zheng, Genevera I. Allen, Yin Liu, Jianhua Ruan and Zhongming Zhao
    Citation: BMC Bioinformatics 2017 18(Suppl 11):405

    This article is part of a Supplement: Volume 18 Supplement 11

  30. Dominant markers in an F2 population or a hybrid population have much less linkage information in repulsion phase than in coupling phase. Linkage analysis produces two separate complementary marker linkage maps t...

    Authors: Yuan-De Tan, Xiang H. F. Zhang and Qianxing Mo
    Citation: BMC Bioinformatics 2017 18(Suppl 11):404

    This article is part of a Supplement: Volume 18 Supplement 11

  31. Short tandem repeats (STRs) are found in many prokaryotic and eukaryotic genomes, and are commonly used as genetic markers, in particular for identity and parental testing in DNA forensics. The unstable expans...

    Authors: Haixu Tang and Etienne Nzabarushimana
    Citation: BMC Bioinformatics 2017 18(Suppl 11):398

    This article is part of a Supplement: Volume 18 Supplement 11

  32. With the explosion of data comes a proportional opportunity to identify novel knowledge with the potential for application in targeted therapies. In spite of this huge amounts of data, the solutions to treatin...

    Authors: Santosh Philips, Heng-Yi Wu and Lang Li
    Citation: BMC Bioinformatics 2017 18(Suppl 11):397

    This article is part of a Supplement: Volume 18 Supplement 11

  33. Scaffold proteins play a critical role in an increasing number of biological signaling processes, including simple tethering mechanism, regulating selectivity in pathways, shaping cellular behaviors. While man...

    Authors: Xiaomei Han, Jenny Wang, Jie Wang, Sheng Liu, Jianfei Hu, Heng Zhu and Jiang Qian
    Citation: BMC Bioinformatics 2017 18(Suppl 11):386

    This article is part of a Supplement: Volume 18 Supplement 11

  34. Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this p...

    Authors: Haodi Li, Qingcai Chen, Buzhou Tang, Xiaolong Wang, Hua Xu, Baohua Wang and Dong Huang
    Citation: BMC Bioinformatics 2017 18(Suppl 11):385

    This article is part of a Supplement: Volume 18 Supplement 11

  35. RNA sequencing (RNA-seq) is a high throughput technology that profiles gene expression in a genome-wide manner. RNA-seq has been mainly used for testing differential expression (DE) of transcripts between two ...

    Authors: Yuanhang Liu, Ping Wu, Jingqi Zhou, Teresa L. Johnson-Pais, Zhao Lai, Wasim H. Chowdhury, Ronald Rodriguez and Yidong Chen
    Citation: BMC Bioinformatics 2017 18(Suppl 11):384

    This article is part of a Supplement: Volume 18 Supplement 11

  36. The use of high-throughput sequencing data has improved the results of genomic analysis due to the resolution of mapping algorithms. Although several tools for copy-number variation calling in whole genome seq...

    Authors: Leandro de Araújo Lima and Kai Wang
    Citation: BMC Bioinformatics 2017 18(Suppl 11):383

    This article is part of a Supplement: Volume 18 Supplement 11

  37. It is generally thought that most canonical or non-canonical splicing events involving U2- and U12 spliceosomes occur within nuclear pre-mRNAs. However, the question of whether at least some U12-type splicing ...

    Authors: Yongsheng Bai, Jeff Kinne, Lizhong Ding, Ethan C. Rath, Aaron Cox and Siva Dharman Naidu
    Citation: BMC Bioinformatics 2017 18(Suppl 11):382

    This article is part of a Supplement: Volume 18 Supplement 11

  38. One approach to improving the personalized treatment of cancer is to understand the cellular signaling transduction pathways that cause cancer at the level of the individual patient. In this study, we used uns...

    Authors: Jonathan D. Young, Chunhui Cai and Xinghua Lu
    Citation: BMC Bioinformatics 2017 18(Suppl 11):381

    This article is part of a Supplement: Volume 18 Supplement 11

  39. During the past decade, the development of high throughput nucleic sequencing and mass spectrometry analysis techniques have enabled the characterization of microbial communities through metagenomics, metatran...

    Authors: Peng Zhai, Longshu Yang, Xiao Guo, Zhe Wang, Jiangtao Guo, Xiaoqi Wang and Huaiqiu Zhu
    Citation: BMC Bioinformatics 2017 18:434
  40. Phylogenetic trees are an important tool to study the evolutionary relationships among organisms. The huge amount of available taxa poses difficulties in their interactive visualization. This hampers the inter...

    Authors: Alan Beccati, Jan Gerken, Christian Quast, Pelin Yilmaz and Frank Oliver Glöckner
    Citation: BMC Bioinformatics 2017 18:433
  41. Genome-wide microarray has enabled development of robust databases for functional genomics studies in rice. However, such databases do not directly cater to the needs of breeders. Here, we have attempted to de...

    Authors: Maninder Sandhu, V. Sureshkumar, Chandra Prakash, Rekha Dixit, Amolkumar U. Solanke, Tilak Raj Sharma, Trilochan Mohapatra and Amitha Mithra S. V.
    Citation: BMC Bioinformatics 2017 18:432
  42. Geminiviruses infect a broad range of cultivated and non-cultivated plants, causing significant economic losses worldwide. The studies of the diversity of species, taxonomy, mechanisms of evolution, geographic...

    Authors: José Cleydson F. Silva, Thales F. M. Carvalho, Elizabeth P. B. Fontes and Fabio R. Cerqueira
    Citation: BMC Bioinformatics 2017 18:431
  43. The oxidation of protein-bound methionine to form methionine sulfoxide, has traditionally been regarded as an oxidative damage. However, recent evidences support the view of this reversible reaction as a regul...

    Authors: Juan C. Aledo, Francisco R. Cantón and Francisco J. Veredas
    Citation: BMC Bioinformatics 2017 18:430
  44. Genome-wide association studies allow us to understand the genetics of complex diseases. Human metabolism provides information about the disease-causing mechanisms, so it is usual to investigate the associatio...

    Authors: Sophie Molnos, Clemens Baumbach, Simone Wahl, Martina Müller-Nurasyid, Konstantin Strauch, Rui Wang-Sattler, Melanie Waldenberger, Thomas Meitinger, Jerzy Adamski, Gabi Kastenmüller, Karsten Suhre, Annette Peters, Harald Grallert, Fabian J. Theis and Christian Gieger
    Citation: BMC Bioinformatics 2017 18:429

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