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  1. Flow cytometry (FCM) is one of the most commonly used technologies for analysis of numerous biological systems at the cellular level, from cancer cells to microbial communities. Its high potential and wide app...

    Authors: Bruno M. S. Wanderley, Daniel S. A. Araújo, María V. Quiroga, André M. Amado, Adrião D. D. Neto, Hugo Sarmento, Sebastián D. Metz and Fernando Unrein
    Citation: BMC Bioinformatics 2019 20:274
  2. Establishment of telomere maintenance mechanisms is a universal step in tumor development to achieve replicative immortality. These processes leave molecular footprints in cancer genomes in the form of altered...

    Authors: Lars Feuerbach, Lina Sieverling, Katharina I. Deeg, Philip Ginsbach, Barbara Hutter, Ivo Buchhalter, Paul A. Northcott, Sadaf S. Mughal, Priya Chudasama, Hanno Glimm, Claudia Scholl, Peter Lichter, Stefan Fröhling, Stefan M. Pfister, David T. W. Jones, Karsten Rippe…
    Citation: BMC Bioinformatics 2019 20:272
  3. Time- and dose-to-event phenotypes used in basic science and translational studies are commonly measured imprecisely or incompletely due to limitations of the experimental design or data collection schema. For...

    Authors: Zhiguo Li, Jiaxing Lin, Alexander B. Sibley, Tracy Truong, Katherina C. Chua, Yu Jiang, Janice McCarthy, Deanna L. Kroetz, Andrew Allen and Kouros Owzar
    Citation: BMC Bioinformatics 2019 20:269
  4. In standard high throughput sequencing analysis, genetic variants are not assigned to a homologous chromosome of origin. This process, called haplotype phasing, can reveal information important for understandi...

    Authors: Alexandra R. Buckley, Trey Ideker, Hannah Carter and Nicholas J. Schork
    Citation: BMC Bioinformatics 2019 20:265
  5. Next generation sequencing has yielded an unparalleled means of quickly determining the molecular make-up of patient tumors. In conjunction with emerging, effective immunotherapeutics for a number of cancers, ...

    Authors: Ryan O. Schenck, Eszter Lakatos, Chandler Gatenbee, Trevor A. Graham and Alexander R.A. Anderson
    Citation: BMC Bioinformatics 2019 20:264
  6. The retrieval of plant-related information is a challenging task due to variations in species name mentions as well as spelling or typographical errors across data sources. Scalable solutions are needed for id...

    Authors: Vivekanand Sharma, Maria Isabel Restrepo and Indra Neil Sarkar
    Citation: BMC Bioinformatics 2019 20:263
  7. Analyses of replicates in sets of discrete data, typically acquired in multi-well plate formats, is a recurring task in many contemporary areas in the Life Sciences. The availability of accessible cross-platfo...

    Authors: Andreas Hofmann, Sarah Preston, Megan Cross, H. M. P. Dilrukshi Herath, Anne Simon and Robin B. Gasser
    Citation: BMC Bioinformatics 2019 20:262
  8. Pairwise alignment of short DNA sequences with affine-gap scoring is a common processing step performed in a range of bioinformatics analyses. Dynamic programming (i.e. Smith-Waterman algorithm) is widely used...

    Authors: Arash Bayat, Bruno Gaëta, Aleksandar Ignjatovic and Sri Parameswaran
    Citation: BMC Bioinformatics 2019 20:261
  9. Automatic extraction of chemical-disease relations (CDR) from unstructured text is of essential importance for disease treatment and drug development. Meanwhile, biomedical experts have built many highly-struc...

    Authors: Huiwei Zhou, Chengkun Lang, Zhuang Liu, Shixian Ning, Yingyu Lin and Lei Du
    Citation: BMC Bioinformatics 2019 20:260
  10. Methods to read out naturally occurring or experimentally introduced nucleic acid modifications are emerging as powerful tools to study dynamic cellular processes. The recovery, quantification and interpretati...

    Authors: Tobias Neumann, Veronika A. Herzog, Matthias Muhar, Arndt von Haeseler, Johannes Zuber, Stefan L. Ameres and Philipp Rescheneder
    Citation: BMC Bioinformatics 2019 20:258
  11. Set enrichment methods are commonly used to analyze high-dimensional molecular data and gain biological insight into molecular or clinical phenotypes. One important category of analysis methods employs an enri...

    Authors: Joanna Roder, Benjamin Linstid and Carlos Oliveira
    Citation: BMC Bioinformatics 2019 20:257
  12. The analysis of LC-MS metabolomic datasets appears to be a challenging task in a wide range of disciplines since it demands the highly extensive processing of a vast amount of data. Different LC-MS data analys...

    Authors: Eva Gorrochategui, Joaquim Jaumot and Romà Tauler
    Citation: BMC Bioinformatics 2019 20:256
  13. The Bioinformatics Resource Manager (BRM) is a web-based tool developed to facilitate identifier conversion and data integration for Homo sapiens (human), Mus musculus (mouse), Rattus norvegicus (rat), Danio reri...

    Authors: Joseph Brown, Aaron R. Phillips, David A. Lewis, Michael-Andres Mans, Yvonne Chang, Robert L. Tanguay, Elena S. Peterson, Katrina M. Waters and Susan C. Tilton
    Citation: BMC Bioinformatics 2019 20:255
  14. Next-generation sequencing is revolutionising diagnosis and treatment of rare diseases, however its application to understanding common disease aetiology is limited. Rare disease applications binarily attribut...

    Authors: E. Mossotto, J. J. Ashton, L. O’Gorman, R. J. Pengelly, R. M. Beattie, B. D. MacArthur and S. Ennis
    Citation: BMC Bioinformatics 2019 20:254
  15. The development of whole genome bisulfite sequencing has made it possible to identify methylation differences at single base resolution throughout an entire genome. However, a persistent challenge in DNA methy...

    Authors: Akanksha Srivastava, Yuliya V. Karpievitch, Steven R. Eichten, Justin O. Borevitz and Ryan Lister
    Citation: BMC Bioinformatics 2019 20:253
  16. After publication of this supplement article

    Authors: Bohu Pan, Rebecca Kusko, Wenming Xiao, Yuanting Zheng, Zhichao Liu, Chunlin Xiao, Sugunadevi Sakkiah, Wenjing Guo, Ping Gong, Chaoyang Zhang, Weigong Ge, Leming Shi, Weida Tong and Huixiao Hong
    Citation: BMC Bioinformatics 2019 20:252

    The original article was published in BMC Bioinformatics 2019 20:101

  17. 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
  18. Large-scale datasets of protein structures and sequences are becoming ubiquitous in many domains of biological research. Experimental approaches and computational modelling methods are generating biological da...

    Authors: Jaume Bonet, Zander Harteveld, Fabian Sesterhenn, Andreas Scheck and Bruno E. Correia
    Citation: BMC Bioinformatics 2019 20:240
  19. With advancements in high-throughput technologies, the cost of obtaining expression profiles of both mRNA and microRNA in the same individual has substantially decreased. Integrated analysis of these profiles ...

    Authors: Ti-Tai Wang, Chien-Yueh Lee, Liang-Chuan Lai, Mong-Hsun Tsai, Tzu-Pin Lu and Eric Y. Chuang
    Citation: BMC Bioinformatics 2019 20:239
  20. Cancer as a worldwide problem is driven by genomic alterations. With the advent of high-throughput sequencing technology, a huge amount of genomic data generates at every second which offer many valuable cance...

    Authors: Junrong Song, Wei Peng and Feng Wang
    Citation: BMC Bioinformatics 2019 20:238
  21. With the widespread use of multiple amplicon-sequencing (MAS) in genetic variation detection, an efficient tool is required to remove primer sequences from short reads to ensure the reliability of downstream a...

    Authors: Xiaolong Zhang, Yanyan Shao, Jichao Tian, Yuwei Liao, Peiying Li, Yu Zhang, Jun Chen and Zhiguang Li
    Citation: BMC Bioinformatics 2019 20:236
  22. A microRNA (miRNA) sponge is an RNA molecule with multiple tandem miRNA response elements that can sequester miRNAs from their target mRNAs. Despite growing appreciation of the importance of miRNA sponges, our...

    Authors: Junpeng Zhang, Lin Liu, Taosheng Xu, Yong Xie, Chunwen Zhao, Jiuyong Li and Thuc Duy Le
    Citation: BMC Bioinformatics 2019 20:235
  23. The Oxford Nanopore Technologies (ONT) MinION portable sequencer makes it possible to use cutting-edge genomic technologies in the field and the academic classroom.

    Authors: Héctor Rodríguez-Pérez, Tamara Hernández-Beeftink, José M. Lorenzo-Salazar, José L. Roda-García, Carlos J. Pérez-González, Marcos Colebrook and Carlos Flores
    Citation: BMC Bioinformatics 2019 20:234
  24. Living organisms need to allocate their limited resources in a manner that optimizes their overall fitness by simultaneously achieving several different biological objectives. Examination of these biological t...

    Authors: Ali Navid, Yongqin Jiao, Sergio Ernesto Wong and Jennifer Pett-Ridge
    Citation: BMC Bioinformatics 2019 20:233
  25. Draft quality genomes for a multitude of organisms have become common due to the advancement of genome assemblers using long-read technologies with high error rates. Although current assemblies are substantial...

    Authors: Philipp Bongartz
    Citation: BMC Bioinformatics 2019 20:232
  26. c-Myc plays an important role in cell proliferation, cell growth and in differentiation, making it a key regulator for carcinogenesis and pluripotency. Tight control of c-myc turnover is required by ubiquitin-...

    Authors: Debangana Chakravorty, Krishnendu Banerjee, Tarunendu Mapder and Sudipto Saha
    Citation: BMC Bioinformatics 2019 20:230
  27. An orthologous group (OG) comprises a set of orthologous and paralogous genes that share a last common ancestor (LCA). OGs are defined with respect to a chosen taxonomic level, which delimits the position of t...

    Authors: Davide Heller, Damian Szklarczyk and Christian von Mering
    Citation: BMC Bioinformatics 2019 20:228
  28. Serratia marcescens is a chitinolytic bacterium that can potentially be used for consolidated bioprocessing to convert chitin to value-added chemicals. Currently, S. marcescens is poorly characterized and studies...

    Authors: Qiang Yan, Seth Robert, J. Paul Brooks and Stephen S. Fong
    Citation: BMC Bioinformatics 2019 20:227
  29. RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step, fast alignment methods and ...

    Authors: Paula Pérez-Rubio, Claudio Lottaz and Julia C. Engelmann
    Citation: BMC Bioinformatics 2019 20:226
  30. 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
  31. 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
  32. 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
  33. Inference of gene regulatory networks from gene expression data has been a long-standing and notoriously difficult task in systems biology. Recently, single-cell transcriptomic data have been massively used fo...

    Authors: Arnaud Bonnaffoux, Ulysse Herbach, Angélique Richard, Anissa Guillemin, Sandrine Gonin-Giraud, Pierre-Alexis Gros and Olivier Gandrillon
    Citation: BMC Bioinformatics 2019 20:220
  34. Most researches of chronic myeloid leukemia (CML) are currently focused on the treatment methods, while there are relatively few researches on the progress of patients’ condition after drug treatment. Traditio...

    Authors: Junhua Xu, Min Wu, Shanshan Zhu, Jinzhi Lei and Jie Gao
    Citation: BMC Bioinformatics 2019 20(Suppl 7):202

    This article is part of a Supplement: Volume 20 Supplement 7

  35. Transcription factors (TFs) play important roles in the regulation of gene expression. They can activate or block transcription of downstream genes in a manner of binding to specific genomic sequences. Therefo...

    Authors: Jialu Hu, Jingru Wang, Jianan Lin, Tianwei Liu, Yuanke Zhong, Jie Liu, Yan Zheng, Yiqun Gao, Junhao He and Xuequn Shang
    Citation: BMC Bioinformatics 2019 20(Suppl 7):200

    This article is part of a Supplement: Volume 20 Supplement 7

  36. For treating a complex disease such as cancer, some effective means are needed to control biological networks that underlies the disease. The one-target one-drug paradigm has been the dominating drug discovery...

    Authors: Min Luo, Jianfeng Jiao and Ruiqi Wang
    Citation: BMC Bioinformatics 2019 20(Suppl 7):198

    This article is part of a Supplement: Volume 20 Supplement 7

  37. The mechanism of many complex diseases has not been detected accurately in terms of their stage evolution. Previous studies mainly focus on the identification of associations between genes and individual disea...

    Authors: Chaima Aouiche, Bolin Chen and Xuequn Shang
    Citation: BMC Bioinformatics 2019 20(Suppl 7):194

    This article is part of a Supplement: Volume 20 Supplement 7

  38. Haemorrhagic stroke accounts for approximately 31.52% of all stroke cases, and the most common origin is hypertension. However, little is known about the method to identify high-risk populations of hypertensiv...

    Authors: Le Zhang, Jin Li, Kaikai Yin, Zhouyang Jiang, Tingting Li, Rong Hu, Zheng Yu, Hua Feng and Yujie Chen
    Citation: BMC Bioinformatics 2019 20(Suppl 7):193

    This article is part of a Supplement: Volume 20 Supplement 7

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