Skip to main content

Articles

Page 53 of 249

  1. Natural products are the source of various functional materials such as medicines, and understanding their biosynthetic pathways can provide information that is helpful for their effective production through t...

    Authors: Kohei Amano, Tsubasa Matsumoto, Kenichi Tanaka, Kimito Funatsu and Masaaki Kotera
    Citation: BMC Bioinformatics 2019 20:728
  2. The Drug Ontology (DrOn) is a modular, extensible ontology of drug products, their ingredients, and their biological activity created to enable comparative effectiveness and health services researchers to quer...

    Authors: Jonathan P. Bona, Mathias Brochhausen and William R. Hogan
    Citation: BMC Bioinformatics 2019 20(Suppl 21):708

    This article is part of a Supplement: Volume 20 Supplement 21

  3. Use of medication can cause adverse drug reactions (ADRs), unwanted or unexpected events, which are a major safety concern. Drug labels, or prescribing information or package inserts, describe ADRs. Therefore,...

    Authors: Mert Tiftikci, Arzucan Özgür, Yongqun He and Junguk Hur
    Citation: BMC Bioinformatics 2019 20(Suppl 21):707

    This article is part of a Supplement: Volume 20 Supplement 21

  4. In the United States and parts of the world, the human papillomavirus vaccine uptake is below the prescribed coverage rate for the population. Some research have noted that dialogue that communicates the risks...

    Authors: Muhammad Amith, Kirk Roberts and Cui Tao
    Citation: BMC Bioinformatics 2019 20(Suppl 21):706

    This article is part of a Supplement: Volume 20 Supplement 21

  5. Different human responses to the same vaccine were frequently observed. For example, independent studies identified overlapping but different transcriptomic gene expression profiles in Yellow Fever vaccine 17D...

    Authors: Edison Ong, Peter Sun, Kimberly Berke, Jie Zheng, Guanming Wu and Yongqun He
    Citation: BMC Bioinformatics 2019 20(Suppl 21):704

    This article is part of a Supplement: Volume 20 Supplement 21

  6. Adenosine-to-inosine RNA editing can markedly diversify the transcriptome, leading to a variety of critical molecular and biological processes in mammals. Over the past several years, researchers have develope...

    Authors: Xikang Feng, Zishuai Wang, Hechen Li and Shuai Cheng Li
    Citation: BMC Bioinformatics 2019 20(Suppl 24):596

    This article is part of a Supplement: Volume 20 Supplement 24

  7. Following publication of the original article [1], the author reported that an incorrect figure has been published as Figure 2. The correct Figure 2 is shown below.

    Authors: Maria Littmann, Tatyana Goldberg, Sebastian Seitz, Mikael Bodén and Burkhard Rost
    Citation: BMC Bioinformatics 2019 20:727

    The original article was published in BMC Bioinformatics 2019 20:205

  8. Emerging evidence suggests retroviruses play a role in the pathophysiology of amyotrophic lateral sclerosis (ALS). Specifically, activation of ancient viral genes embedded in the human genome is theorized to l...

    Authors: Jon P. Klein, Zhifu Sun and Nathan P. Staff
    Citation: BMC Bioinformatics 2019 20(Suppl 24):680

    This article is part of a Supplement: Volume 20 Supplement 24

  9. RNA sequencing technologies have allowed researchers to gain a better understanding of how the transcriptome affects disease. However, sequencing technologies often unintentionally introduce experimental error...

    Authors: Zachary B. Abrams, Travis S. Johnson, Kun Huang, Philip R. O. Payne and Kevin Coombes
    Citation: BMC Bioinformatics 2019 20(Suppl 24):679

    This article is part of a Supplement: Volume 20 Supplement 24

  10. Ribosome profiling brings insight to the process of translation. A basic step in profile construction at transcript level is to map Ribo-seq data to transcripts, and then assign a huge number of multiple-mappe...

    Authors: Hongfei Cui, Hailin Hu, Jianyang Zeng and Ting Chen
    Citation: BMC Bioinformatics 2019 20(Suppl 24):678

    This article is part of a Supplement: Volume 20 Supplement 24

  11. Signal peptides play an important role in protein sorting, which is the mechanism whereby proteins are transported to their destination. Recognition of signal peptides is an important first step in determining...

    Authors: Jhe-Ming Wu, Yu-Chen Liu and Darby Tien-Hao Chang
    Citation: BMC Bioinformatics 2019 20(Suppl 24):677

    This article is part of a Supplement: Volume 20 Supplement 24

  12. Between June 9–11, 2019, the International Conference on Intelligent Biology and Medicine (ICIBM 2019) was held in Columbus, Ohio, USA. The conference included 12 scientific sessions, five tutorials or worksho...

    Authors: Zhongming Zhao, Yulin Dai, Chi Zhang, Ewy Mathé, Lai Wei and Kai Wang
    Citation: BMC Bioinformatics 2019 20(Suppl 24):676

    This article is part of a Supplement: Volume 20 Supplement 24

    The Correction to this article has been published in BMC Bioinformatics 2020 21:148

  13. Gene expression profiling experiments with few replicates lead to great variability in the estimates of gene variances. Toward this end, several moderated t-test methods have been developed to reduce this vari...

    Authors: Lianbo Yu, Jianying Zhang, Guy Brock and Soledad Fernandez
    Citation: BMC Bioinformatics 2019 20(Suppl 24):675

    This article is part of a Supplement: Volume 20 Supplement 24

  14. Computational prediction of a phenotypic response upon the chemical perturbation on a biological system plays an important role in drug discovery, and many other applications. Chemical fingerprints are a widel...

    Authors: Mohamed Ayed, Hansaim Lim and Lei Xie
    Citation: BMC Bioinformatics 2019 20(Suppl 24):674

    This article is part of a Supplement: Volume 20 Supplement 24

  15. With the rise of metabolomics, the development of methods to address analytical challenges in the analysis of metabolomics data is of great importance. Missing values (MVs) are pervasive, yet the treatment of ...

    Authors: Jasmit Shah, Guy N. Brock and Jeremy Gaskins
    Citation: BMC Bioinformatics 2019 20(Suppl 24):673

    This article is part of a Supplement: Volume 20 Supplement 24

  16. Various statistical models have been developed to model the single cell RNA-seq expression profiles, capture its multimodality, and conduct differential gene expression test. However, for expression data gener...

    Authors: Yu Zhang, Changlin Wan, Pengcheng Wang, Wennan Chang, Yan Huo, Jian Chen, Qin Ma, Sha Cao and Chi Zhang
    Citation: BMC Bioinformatics 2019 20(Suppl 24):672

    This article is part of a Supplement: Volume 20 Supplement 24

  17. Short tandem repeats (STRs) serve as genetic markers in forensic scenes due to their high polymorphism in eukaryotic genomes. A variety of STRs profiling systems have been developed for species including human...

    Authors: Yilin Liu, Jiao Xu, Miaoxia Chen, Changfa Wang and Shuaicheng Li
    Citation: BMC Bioinformatics 2019 20(Suppl 24):671

    This article is part of a Supplement: Volume 20 Supplement 24

  18. RNA sequencing has become an increasingly affordable way to profile gene expression patterns. Here we introduce a workflow implementing several open-source softwares that can be run on a high performance compu...

    Authors: Venkat Sundar Gadepalli, Hatice Gulcin Ozer, Ayse Selen Yilmaz, Maciej Pietrzak and Amy Webb
    Citation: BMC Bioinformatics 2019 20(Suppl 24):670

    This article is part of a Supplement: Volume 20 Supplement 24

  19. Proteomic measurements, which closely reflect phenotypes, provide insights into gene expression regulations and mechanisms underlying altered phenotypes. Further, integration of data on proteome and transcript...

    Authors: Tara Eicher, Andrew Patt, Esko Kautto, Raghu Machiraju, Ewy Mathé and Yan Zhang
    Citation: BMC Bioinformatics 2019 20(Suppl 24):669

    This article is part of a Supplement: Volume 20 Supplement 24

  20. Skewness is an under-utilized statistical measure that captures the degree of asymmetry in the distribution of any dataset. This study applied a new metric based on skewness to identify regulators or genes tha...

    Authors: Benjamin V. Church, Henry T. Williams and Jessica C. Mar
    Citation: BMC Bioinformatics 2019 20(Suppl 24):668

    This article is part of a Supplement: Volume 20 Supplement 24

  21. Current approaches to identifying drug-drug interactions (DDIs), include safety studies during drug development and post-marketing surveillance after approval, offer important opportunities to identify potenti...

    Authors: Remzi Celebi, Huseyin Uyar, Erkan Yasar, Ozgur Gumus, Oguz Dikenelli and Michel Dumontier
    Citation: BMC Bioinformatics 2019 20:726
  22. Macrophages show versatile functions in innate immunity, infectious diseases, and progression of cancers and cardiovascular diseases. These versatile functions of macrophages are conducted by different macroph...

    Authors: Ricardo Ramirez, Allen Michael Herrera, Joshua Ramirez, Chunjiang Qian, David W. Melton, Paula K. Shireman and Yu-Fang Jin
    Citation: BMC Bioinformatics 2019 20:725
  23. Quantitative areas is of great measurement of wound significance in clinical trials, wound pathological analysis, and daily patient care. 2D methods cannot solve the problems caused by human body curvatures an...

    Authors: Chunhui Liu, Xingyu Fan, Zhizhi Guo, Zhongjun Mo, Eric I-Chao Chang and Yan Xu
    Citation: BMC Bioinformatics 2019 20:724
  24. Predicting protein function and structure from sequence is one important challenge for computational biology. For 26 years, most state-of-the-art approaches combined machine learning and evolutionary informati...

    Authors: Michael Heinzinger, Ahmed Elnaggar, Yu Wang, Christian Dallago, Dmitrii Nechaev, Florian Matthes and Burkhard Rost
    Citation: BMC Bioinformatics 2019 20:723
  25. Following publication of the original article [1], the author explained that Table 2 is displayed incorrectly. The correct Table 2 is given below. The original article has been corrected.

    Authors: Jacob R. Heldenbrand, Saurabh Baheti, Matthew A. Bockol, Travis M. Drucker, Steven N. Hart, Matthew E. Hudson, Ravishankar K. Iyer, Michael T. Kalmbach, Katherine I. Kendig, Eric W. Klee, Nathan R. Mattson, Eric D. Wieben, Mathieu Wiepert, Derek E. Wildman and Liudmila S. Mainzer
    Citation: BMC Bioinformatics 2019 20:722

    The original article was published in BMC Bioinformatics 2019 20:557

  26. Galled trees are studied as a recombination model in theoretical population genetics. This class of phylogenetic networks has been generalized to tree-child networks and other network classes by relaxing a str...

    Authors: Louxin Zhang
    Citation: BMC Bioinformatics 2019 20(Suppl 20):642

    This article is part of a Supplement: Volume 20 Supplement 20

  27. Many cancer genomes are extensively rearranged with highly aberrant chromosomal karyotypes. Structural and copy number variations in cancer genomes can be determined via abnormal mapping of sequenced reads to ...

    Authors: Sergey Aganezov, Ilya Zban, Vitaly Aksenov, Nikita Alexeev and Michael C. Schatz
    Citation: BMC Bioinformatics 2019 20(Suppl 20):641

    This article is part of a Supplement: Volume 20 Supplement 20

  28. It is now well established that eukaryotic coding genes have the ability to produce more than one type of transcript thanks to the mechanisms of alternative splicing and alternative transcription. Because of t...

    Authors: Esaie Kuitche, Safa Jammali and Aïda Ouangraoua
    Citation: BMC Bioinformatics 2019 20(Suppl 20):640

    This article is part of a Supplement: Volume 20 Supplement 20

  29. Reconciliation methods are widely used to explain incongruence between a gene tree and species tree. However, the common approach of inferring maximum parsimony reconciliations (MPRs) relies on user-defined co...

    Authors: Ross Mawhorter, Nuo Liu, Ran Libeskind-Hadas and Yi-Chieh Wu
    Citation: BMC Bioinformatics 2019 20(Suppl 20):639

    This article is part of a Supplement: Volume 20 Supplement 20

  30. In many fields of biomedical research, it is important to estimate phylogenetic distances between taxa based on low-coverage sequencing reads. Major applications are, for example, phylogeny reconstruction, spe...

    Authors: Anna-Katharina Lau, Svenja Dörrer, Chris-André Leimeister, Christoph Bleidorn and Burkhard Morgenstern
    Citation: BMC Bioinformatics 2019 20(Suppl 20):638

    This article is part of a Supplement: Volume 20 Supplement 20

  31. Bacterial pathogens exhibit an impressive amount of genomic diversity. This diversity can be informative of evolutionary adaptations, host-pathogen interactions, and disease transmission patterns. However, cap...

    Authors: Guo Liang Gan, Elijah Willie, Cedric Chauve and Leonid Chindelevitch
    Citation: BMC Bioinformatics 2019 20(Suppl 20):637

    This article is part of a Supplement: Volume 20 Supplement 20

  32. Maximum parsimony reconciliation in the duplication-transfer-loss model is widely used in studying the evolutionary histories of genes and species and in studying coevolution of parasites and their hosts and p...

    Authors: Santi Santichaivekin, Ross Mawhorter and Ran Libeskind-Hadas
    Citation: BMC Bioinformatics 2019 20(Suppl 20):636

    This article is part of a Supplement: Volume 20 Supplement 20

  33. A basic tool for studying the polyploidization history of a genome, especially in plants, is the distribution of duplicate gene similarities in syntenically aligned regions of a genome. This distribution can u...

    Authors: Yue Zhang, Chunfang Zheng and David Sankoff
    Citation: BMC Bioinformatics 2019 20(Suppl 20):635

    This article is part of a Supplement: Volume 20 Supplement 20

  34. High-throughput technologies have brought tremendous changes to biological domains, and the resulting high-dimensional data has also posed enormous challenges to computational science. A Bayesian network is a ...

    Authors: Jiajin Chen, Ruyang Zhang, Xuesi Dong, Lijuan Lin, Ying Zhu, Jieyu He, David C. Christiani, Yongyue Wei and Feng Chen
    Citation: BMC Bioinformatics 2019 20:711
  35. High throughput sequence data has provided in depth means of molecular characterization of populations. When recorded at numerous time steps, such data can reveal the evolutionary dynamics of the population un...

    Authors: Chandler D. Gatenbee, Ryan O. Schenck, Rafael R. Bravo and Alexander R. A. Anderson
    Citation: BMC Bioinformatics 2019 20:710
  36. Late-Onset Alzheimer’s Disease (LOAD) is a leading form of dementia. There is no effective cure for LOAD, leaving the treatment efforts to depend on preventive cognitive therapies, which stand to benefit from ...

    Authors: Javier De Velasco Oriol, Edgar E. Vallejo, Karol Estrada, José Gerardo Taméz Peña and The Alzheimer’s Disease Neuroimaging Initiative
    Citation: BMC Bioinformatics 2019 20:709
  37. Development of new drugs is a time-consuming and costly process, and the cost is still increasing in recent years. However, the number of drugs approved by FDA every year per dollar spent on development is dec...

    Authors: Ran Wang, Shuai Li, Lixin Cheng, Man Hon Wong and Kwong Sak Leung
    Citation: BMC Bioinformatics 2019 20(Suppl 26):628

    This article is part of a Supplement: Volume 20 Supplement 26

  38. A folding RNA molecule encounters multiple opportunities to form non-native yet energetically favorable pairings of nucleotide sequences. Given this forbidding free-energy landscape, mechanisms have evolved th...

    Authors: Guangyao Zhou, Jackson Loper and Stuart Geman
    Citation: BMC Bioinformatics 2019 20:666
  39. Calling genetic variations from sequence reads is an important problem in genomics. There are many existing methods for calling various types of variations. Recently, Google developed a method for calling sing...

    Authors: Lei Cai, Yufeng Wu and Jingyang Gao
    Citation: BMC Bioinformatics 2019 20:665
  40. A lack of reproducibility has been repeatedly criticized in computational research. High throughput sequencing (HTS) data analysis is a complex multi-step process. For most of the steps a range of bioinformati...

    Authors: Christoph Kämpf, Michael Specht, Alexander Scholz, Sven-Holger Puppel, Gero Doose, Kristin Reiche, Jana Schor and Jörg Hackermüller
    Citation: BMC Bioinformatics 2019 20:664
  41. Circular DNA has recently been identified across different species including human normal and cancerous tissue, but short-read mappers are unable to align many of the reads crossing circle junctions hence limi...

    Authors: Iñigo Prada-Luengo, Anders Krogh, Lasse Maretty and Birgitte Regenberg
    Citation: BMC Bioinformatics 2019 20:663
  42. Next generation sequencing instruments are providing new opportunities for comprehensive analyses of cancer genomes. The increasing availability of tumor data allows to research the complexity of cancer diseas...

    Authors: Martin Palazzo, Pierre Beauseroy and Patricio Yankilevich
    Citation: BMC Bioinformatics 2019 20:655
  43. In short-read DNA sequencing experiments, the read coverage is a key parameter to successfully assemble the reads and reconstruct the sequence of the input DNA. When coverage is very low, the original sequence...

    Authors: Louis Ranjard, Thomas K. F. Wong and Allen G. Rodrigo
    Citation: BMC Bioinformatics 2019 20:654

    The Correction to this article has been published in BMC Bioinformatics 2020 21:24

  44. Computational compound repositioning has the potential for identifying new uses for existing drugs, and new algorithms and data source aggregation strategies provide ever-improving results via in silico metric...

    Authors: Michael Mayers, Tong Shu Li, Núria Queralt-Rosinach and Andrew I. Su
    Citation: BMC Bioinformatics 2019 20:653
  45. Multiple Sclerosis (MS) is an immune-mediated inflammatory disease of the Central Nervous System (CNS) which damages the myelin sheath enveloping nerve cells thus causing severe physical disability in patients...

    Authors: Simone Pernice, Marzio Pennisi, Greta Romano, Alessandro Maglione, Santina Cutrupi, Francesco Pappalardo, Gianfranco Balbo, Marco Beccuti, Francesca Cordero and Raffaele A. Calogero
    Citation: BMC Bioinformatics 2019 20(Suppl 6):623

    This article is part of a Supplement: Volume 20 Supplement 6

  46. The 2nd Computational Methods for the Immune System function Workshop has been held in Madrid in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018) in Madrid, Spai...

    Authors: Francesco Pappalardo, Marzio Pennisi, Pedro A. Reche and Giulia Russo
    Citation: BMC Bioinformatics 2019 20(Suppl 6):622

    This article is part of a Supplement: Volume 20 Supplement 6

  47. In recent years, the study of immune response behaviour using bottom up approach, Agent Based Modeling (ABM), has attracted considerable efforts. The ABM approach is a very common technique in the biological d...

    Authors: Mozhgan Kabiri Chimeh, Peter Heywood, Marzio Pennisi, Francesco Pappalardo and Paul Richmond
    Citation: BMC Bioinformatics 2019 20(Suppl 6):579

    This article is part of a Supplement: Volume 20 Supplement 6

  48. Myocarditis is defined as the inflammation of the myocardium, i.e. the cardiac muscle. Among the reasons that lead to this disease, we may include infections caused by a virus, bacteria, protozoa, fungus, and ...

    Authors: Ruy Freitas Reis, Juliano Lara Fernandes, Thaiz Ruberti Schmal, Bernardo Martins Rocha, Rodrigo Weber dos Santos and Marcelo Lobosco
    Citation: BMC Bioinformatics 2019 20(Suppl 6):532

    This article is part of a Supplement: Volume 20 Supplement 6

  49. Neutrophils are one of the key players in the human innate immune system (HIIS). In the event of an insult where the body is exposed to inflammation triggering moieties (ITMs), neutrophils are mobilized toward...

    Authors: Alva Presbitero, Emiliano Mancini, Filippo Castiglione, Valeria V. Krzhizhanovskaya and Rick Quax
    Citation: BMC Bioinformatics 2019 20(Suppl 6):475

    This article is part of a Supplement: Volume 20 Supplement 6

Featured videos

View featured videos from across the BMC-series journals

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 2.9
    5-year Journal Impact Factor: 3.6
    Source Normalized Impact per Paper (SNIP): 0.821
    SCImago Journal Rank (SJR): 1.005

    Speed 2023
    Submission to first editorial decision (median days): 12
    Submission to acceptance (median days): 146

    Usage 2023
    Downloads: 5,987,678
    Altmetric mentions: 4,858

Sign up for article alerts and news from this journal