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Volume 20 Supplement 23

Proceedings of the Joint International GIW & ABACBS-2019 Conference: bioinformatics

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. Supplement Editors were not responsible for the review of papers they had authored. No other competing interests were declared.

Sydney, Australia9-11 December 2019

Edited by Joshua Ho, Kyung-Ah Sohn, Jiangning Song, Tatsuya Akutsu, Shoba Ranganathan and Jinyan Li

Conference website

  1. How small, fast-growing bacteria ensure tight cell-size distributions remains elusive. High-throughput measurement techniques have propelled efforts to build modeling tools that help to shed light on the relat...

    Authors: Cesar Augusto Nieto-Acuna, Cesar Augusto Vargas-Garcia, Abhyudai Singh and Juan Manuel Pedraza

    Citation: BMC Bioinformatics 2019 20(Suppl 23):647

    Content type: Research

    Published on:

  2. Studying multiple microRNAs (miRNAs) synergism in gene regulation could help to understand the regulatory mechanisms of complicated human diseases caused by miRNAs. Several existing methods have been presented...

    Authors: Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Truong, Jiuyong Li, Nini Rao and Thuc Duy Le

    Citation: BMC Bioinformatics 2019 20(Suppl 23):613

    Content type: Research

    Published on:

    The Correction to this article has been published in BMC Bioinformatics 2020 21:32

  3. Current technologies for understanding the transcriptional reprogramming in cells include the transcription factor (TF) chromatin immunoprecipitation (ChIP) experiments and the TF knockout experiments. The ChI...

    Authors: Tzu-Hsien Yang

    Citation: BMC Bioinformatics 2019 20(Suppl 23):630

    Content type: Research

    Published on:

  4. Genomes are subjected to rearrangements that change the orientation and ordering of genes during evolution. The most common rearrangements that occur in uni-chromosomal genomes are inversions (or reversals) to...

    Authors: Mehwish Noureen, Ipputa Tada, Takeshi Kawashima and Masanori Arita

    Citation: BMC Bioinformatics 2019 20(Suppl 23):631

    Content type: Research

    Published on:

  5. Current Hi-C technologies for chromosome conformation capture allow to understand a broad spectrum of functional interactions between genome elements. Although significant progress has been made into analysis ...

    Authors: Juris Viksna, Gatis Melkus, Edgars Celms, Kārlis Čerāns, Karlis Freivalds, Paulis Kikusts, Lelde Lace, Mārtiņš Opmanis, Darta Rituma and Peteris Rucevskis

    Citation: BMC Bioinformatics 2019 20(Suppl 23):618

    Content type: Research

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  6. There are many different types of microRNAs (miRNAs) and elucidating their functions is still under intensive research. A fundamental step in functional annotation of a new miRNA is to classify it into charact...

    Authors: Xubo Tang and Yanni Sun

    Citation: BMC Bioinformatics 2019 20(Suppl 23):646

    Content type: Research

    Published on:

  7. Since protein-DNA interactions are highly essential to diverse biological events, accurately positioning the location of the DNA-binding residues is necessary. This biological issue, however, is currently a ch...

    Authors: Binh P. Nguyen, Quang H. Nguyen, Giang-Nam Doan-Ngoc, Thanh-Hoang Nguyen-Vo and Susanto Rahardja

    Citation: BMC Bioinformatics 2019 20(Suppl 23):634

    Content type: Research

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  8. Modern flow cytometry technology has enabled the simultaneous analysis of multiple cell markers at the single-cell level, and it is widely used in a broad field of research. The detection of cell populations i...

    Authors: Kodai Minoura, Ko Abe, Yuka Maeda, Hiroyoshi Nishikawa and Teppei Shimamura

    Citation: BMC Bioinformatics 2019 20(Suppl 23):633

    Content type: Research

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  9. Detection of new drug-target interactions by computational algorithms is of crucial value to both old drug repositioning and new drug discovery. Existing machine-learning methods rely only on experimentally va...

    Authors: Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Xiaoying Gao and Jinyan Li

    Citation: BMC Bioinformatics 2019 20(Suppl 23):605

    Content type: Research

    Published on:

  10. Viral infectious diseases are the serious threat for human health. The receptor-binding is the first step for the viral infection of hosts. To more effectively treat human viral infectious diseases, the hidden...

    Authors: Cheng Yan, Guihua Duan, Fang-Xiang Wu and Jianxin Wang

    Citation: BMC Bioinformatics 2019 20(Suppl 23):651

    Content type: Methodology

    Published on:

  11. Genome-wide Association Studies (GWAS) have contributed to unraveling associations between genetic variants in the human genome and complex traits for more than a decade. While many works have been invented as...

    Authors: Haohan Wang, Tianwei Yue, Jingkang Yang, Wei Wu and Eric P. Xing

    Citation: BMC Bioinformatics 2019 20(Suppl 23):656

    Content type: Methodology

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  12. The main research topic in this paper is how to compare multiple biological experiments using transcriptome data, where each experiment is measured and designed to compare control and treated samples. Comparis...

    Authors: Benjamin Hur, Dongwon Kang, Sangseon Lee, Ji Hwan Moon, Gung Lee and Sun Kim

    Citation: BMC Bioinformatics 2019 20(Suppl 23):667

    Content type: Research

    Published on:

  13. Removing duplicates might be considered as a well-resolved problem in next-generation sequencing (NGS) data processing domain. However, as NGS technology gains more recognition in clinical application, researc...

    Authors: Shifu Chen, Yanqing Zhou, Yaru Chen, Tanxiao Huang, Wenting Liao, Yun Xu, Zhicheng Li and Jia Gu

    Citation: BMC Bioinformatics 2019 20(Suppl 23):606

    Content type: Software

    Published on:

2018 Journal Metrics

  • Citation Impact
    2.511 - 2-year Impact Factor
    2.970 - 5-year Impact Factor
    0.855 - Source Normalized Impact per Paper (SNIP)
    1.374 - SCImago Journal Rank (SJR)

    Usage 
    4,129,368 downloads

    Social Media Impact
    4446 mentions

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