Skip to main content

Volume 23 Supplement 6

Selected articles from the 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2021)

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 involved in the peer review of any supplement articles they co-authored. No other competing interests were declared.

Virtual15-17 November 2021

Conference website

Edited by Davide Chicco, Angelo Facchiano, Anna Bernasconi,  Erica Tavazzi, Enrico Longato,  Martina Vettoretti,  Manuel Tognon,  Mehran Karimzadeh,  Tiziana Sanavia,  Vincenzo Bonnici, Marco Beccuti, Paolo Cazzaniga,  Pasquale Stano, Giuseppe Agapito, Francesco Napolitano, Claudio Angione,  Alessia Paglialonga,  Umberto Ferraro Petrillo, Rosalba Giugno,  Dominik Heider,  Antonino Staiano and  Joao Ribeiro Pinto.


  1. The constant evolving and development of next-generation sequencing techniques lead to high throughput data composed of datasets that include a large number of biological samples. Although a large number of sa...

    Authors: Maximilian Sprang, Miguel A. Andrade-Navarro and Jean-Fred Fontaine
    Citation: BMC Bioinformatics 2022 23(Suppl 6):279
    Content type: Research Published on:

  2. The dynamic functional connectivity (dFC) has been used successfully to investigate the dysfunction of Alzheimer's disease (AD) patients. The reconfiguration intensity of nodal dFC, which means the degree of a...

    Authors: Kai Du, Pindong Chen, Kun Zhao, Yida Qu, Xiaopeng Kang and Yong Liu
    Citation: BMC Bioinformatics 2022 23(Suppl 6):280
    Content type: Research Published on:

  3. Model card reports aim to provide informative and transparent description of machine learning models to stakeholders. This report document is of interest to the National Institutes of Health’s Bridge2AI initia...

    Authors: Muhammad Tuan Amith, Licong Cui, Degui Zhi, Kirk Roberts, Xiaoqian Jiang, Fang Li, Evan Yu and Cui Tao
    Citation: BMC Bioinformatics 2022 23(Suppl 6):281
    Content type: Research Published on:

  4. Due to its key role in various biological processes, RNA secondary structures have always been the focus of in-depth analyses, with great efforts from mathematicians and biologists, to find a suitable abstract...

    Authors: Daniele Marchei and Emanuela Merelli
    Citation: BMC Bioinformatics 2022 23(Suppl 6):345
    Content type: Research Published on:

  5. Microarrays can perform large scale studies of differential expressed gene (DEGs) and even single nucleotide polymorphisms (SNPs), thereby screening thousands of genes for single experiment simultaneously. How...

    Authors: Giuseppe Agapito, Marianna Milano and Mario Cannataro
    Citation: BMC Bioinformatics 2022 23(Suppl 6):393
    Content type: Methodology Published on:

  6. To date, there are no effective treatments for most neurodegenerative diseases. Knowledge graphs can provide comprehensive and semantic representation for heterogeneous data, and have been successfully leverag...

    Authors: Yi Nian, Xinyue Hu, Rui Zhang, Jingna Feng, Jingcheng Du, Fang Li, Larry Bu, Yuji Zhang, Yong Chen and Cui Tao
    Citation: BMC Bioinformatics 2022 23(Suppl 6):407
    Content type: Research Published on:

  8. Recent studies have indicated that a special class of long non-coding RNAs (lncRNAs), namely Transcribed-Ultraconservative Regions are transcribed from specific DNA regions (T-UCRs), 100 ...

    Authors: Angelo Ciaramella, Emanuel Di Nardo, Daniela Terracciano, Lia Conte, Ferdinando Febbraio and Amelia Cimmino
    Citation: BMC Bioinformatics 2023 23(Suppl 6):569
    Content type: Research Published on:

  9. The ability to compare RNA secondary structures is important in understanding their biological function and for grouping similar organisms into families by looking at evolutionarily conserved sequences such as...

    Authors: Michela Quadrini, Luca Tesei and Emanuela Merelli
    Citation: BMC Bioinformatics 2023 23(Suppl 6):575
    Content type: Research Published on:
Submit manuscript

Annual Journal Metrics

  • 2022 Citation Impact
    3.0 - 2-year Impact Factor
    4.3 - 5-year Impact Factor
    0.938 - SNIP (Source Normalized Impact per Paper)
    1.100 - SJR (SCImago Journal Rank)

    2023 Speed
    19 days submission to first editorial decision for all manuscripts (Median)
    146 days submission to accept (Median)

    2023 Usage
    5,987,678 downloads
    4,858 Altmetric mentions 

Follow

Sign up for article alerts and news from this journal

BMC Bioinformatics

ISSN: 1471-2105

Contact us