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  1. Stochastic optical reconstruction microscopy (STORM), a super-resolution microscopy technique based on single-molecule localizations, has become popular to characterize sub-diffraction limit targets. However, ...

    Authors: Øystein Øvrebø, Miina Ojansivu, Kimmo Kartasalo, Hanna M. G. Barriga, Petter Ranefall, Margaret N. Holme and Molly M. Stevens
    Citation: BMC Bioinformatics 2023 24:237
  2. When it was first introduced in 2000, reverse vaccinology was defined as an in silico approach that begins with the pathogen's genomic sequence. It concludes with a list of potential proteins with a possible, ...

    Authors: Giulia Russo, Elena Crispino, Avisa Maleki, Valentina Di Salvatore, Filippo Stanco and Francesco Pappalardo
    Citation: BMC Bioinformatics 2023 24:231
  3. Clinical studies have shown that miRNAs are closely related to human health. The study of potential associations between miRNAs and diseases will contribute to a profound understanding of the mechanism of dise...

    Authors: Min Chen, Yingwei Deng, Zejun Li, Yifan Ye and Ziyi He
    Citation: BMC Bioinformatics 2023 24:229
  4. Comutation plot is a widely used visualization method to deliver a global view of the mutation landscape of large-scale genomic studies. Current tools for creating comutation plot are either offline packages t...

    Authors: Qiaonan Duan, Weiyi Wang, Feiling Feng, Xiaoqing Jiang, Hao Chen, Dadong Zhang and Tongyi Zhang
    Citation: BMC Bioinformatics 2023 24:226
  5. N6-methyladenosine (m6A) modification is involved in tumorigenesis and progression as well as closely correlated with stem cell differentiation and pluripotency. Moreover, tumor progression includes the acquis...

    Authors: Guihua Tang, Jianqiao Peng, Longwei Huo and Wen Yin
    Citation: BMC Bioinformatics 2023 24:225
  6. As genome sequencing becomes better integrated into scientific research, government policy, and personalized medicine, the primary challenge for researchers is shifting from generating raw data to analyzing th...

    Authors: Kyle A. O’Connell, Zelaikha B. Yosufzai, Ross A. Campbell, Collin J. Lobb, Haley T. Engelken, Laura M. Gorrell, Thad B. Carlson, Josh J. Catana, Dina Mikdadi, Vivien R. Bonazzi and Juergen A. Klenk
    Citation: BMC Bioinformatics 2023 24:221
  7. CRISPR/Cas is an efficient genome editing system that has been widely used for functional genetic studies and exhibits high potential in biomedical translational applications. Indel analysis has thus become on...

    Authors: Huancheng Fu, Ce Shan, Fanchen Kang, Ling Yu, Zhonghan Li and Yike Yin
    Citation: BMC Bioinformatics 2023 24:219
  8. Hepatocellular carcinoma (HCC) is the fifth most frequently diagnosed malignancy and the third leading cause of cancer death globally. T cells are significantly correlated with the progression, therapy and pro...

    Authors: Xu Chen, Chuang Peng, Yu Chen, Bai Ding, Sulai Liu, Yinghui Song, Yuhang Li, Bo Sun and Ranzhiqiang Yang
    Citation: BMC Bioinformatics 2023 24:216
  9. There is a pressing need for improved methods to identify effective therapeutics for diseases. Many computational approaches have been developed to repurpose existing drugs to meet this need. However, these to...

    Authors: Belinda B. Garana, James H. Joly, Alireza Delfarah, Hyunjun Hong and Nicholas A. Graham
    Citation: BMC Bioinformatics 2023 24:215
  10. Boolean Networks (BNs) are a popular dynamical model in biology where the state of each component is represented by a variable taking binary values that express, for instance, activation/deactivation or high/l...

    Authors: Georgios A. Argyris, Alberto Lluch Lafuente, Mirco Tribastone, Max Tschaikowski and Andrea Vandin
    Citation: BMC Bioinformatics 2023 24(Suppl 1):212

    This article is part of a Supplement: Volume 24 Supplement 1

  11. The microbiome plays a key role in the health of the human body. Interest often lies in finding features of the microbiome, alongside other covariates, which are associated with a phenotype of interest. One im...

    Authors: Darren A. V. Scott, Ernest Benavente, Julian Libiseller-Egger, Dmitry Fedorov, Jody Phelan, Elena Ilina, Polina Tikhonova, Alexander Kudryavstev, Julia Galeeva, Taane Clark and Alex Lewin
    Citation: BMC Bioinformatics 2023 24:210
  12. Cluster and transmission analysis utilising pairwise SNP distance are increasingly used in genomic epidemiological studies. However, current methods are often challenging to install and use, and lack interacti...

    Authors: Budi Permana, Scott A. Beatson and Brian M. Forde
    Citation: BMC Bioinformatics 2023 24:209
  13. Better understanding the transcriptomic response produced by a compound perturbing its targets can shed light on the underlying biological processes regulated by the compound. However, establishing the relatio...

    Authors: Chloe Engler Hart, Daniel Ence, David Healey and Daniel Domingo-Fernández
    Citation: BMC Bioinformatics 2023 24:207
  14. In the sporadic form of amyotrophic lateral sclerosis (ALS), the pathogenicity of rare variants in the causative genes characterizing the familial form remains largely unknown. To predict the pathogenicity of ...

    Authors: Yuya Hatano, Tomohiko Ishihara and Osamu Onodera
    Citation: BMC Bioinformatics 2023 24:206
  15. Circular RNAs (circRNAs) are covalently closed-loop RNAs with critical regulatory roles in cells. Tens of thousands of circRNAs have been unveiled due to the recent advances in high throughput RNA sequencing t...

    Authors: Fedor Sharko, Golam Rbbani, Prabhugouda Siriyappagouder, Joost A. M. Raeymaekers, Jorge Galindo-Villegas, Artem Nedoluzhko and Jorge M. O. Fernandes
    Citation: BMC Bioinformatics 2023 24:205
  16. In the ten years since the initial publication of the RenSeq protocol, the method has proved to be a powerful tool for studying disease resistance in plants and providing target genes for breeding programmes. ...

    Authors: Thomas M. Adams, Moray Smith, Yuhan Wang, Lynn H. Brown, Micha M. Bayer and Ingo Hein
    Citation: BMC Bioinformatics 2023 24:204
  17. A major current focus in the analysis of protein–protein interaction (PPI) data is how to identify essential proteins. As massive PPI data are available, this warrants the design of efficient computing methods...

    Authors: Peiqiang Liu, Chang Liu, Yanyan Mao, Junhong Guo, Fanshu Liu, Wangmin Cai and Feng Zhao
    Citation: BMC Bioinformatics 2023 24:203
  18. Cysteine-dense peptides (CDPs) are an attractive pharmaceutical scaffold that display extreme biochemical properties, low immunogenicity, and the ability to bind targets with high affinity and selectivity. Whi...

    Authors: Sébastien Ouellet, Larissa Ferguson, Angus Z. Lau and Tony K. Y. Lim
    Citation: BMC Bioinformatics 2023 24:200
  19. There is an increasing interest in the use of Deep Learning (DL) based methods as a supporting analytical framework in oncology. However, most direct applications of DL will deliver models with limited transpa...

    Authors: Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers and André Freitas
    Citation: BMC Bioinformatics 2023 24:198
  20. Large-scale population variant data is often used to filter and aid interpretation of variant calls in a single sample. These approaches do not incorporate population information directly into the process of v...

    Authors: Nae-Chyun Chen, Alexey Kolesnikov, Sidharth Goel, Taedong Yun, Pi-Chuan Chang and Andrew Carroll
    Citation: BMC Bioinformatics 2023 24:197
  21. Atherosclerosis is the common pathological basis for many cardiovascular and cerebrovascular diseases. The purpose of this study is to identify the diagnostic biomarkers related to atherosclerosis through mach...

    Authors: Li Rao, Bo Peng and Tao Li
    Citation: BMC Bioinformatics 2023 24:196
  22. Genome-wide association studies (GWAS) seek to identify single nucleotide polymorphisms (SNPs) that cause observed phenotypes. However, with highly correlated SNPs, correlated observations, and the number of S...

    Authors: Jacob Williams, Shuangshuang Xu and Marco A. R. Ferreira
    Citation: BMC Bioinformatics 2023 24:194
  23. Gastric cancer is the third leading cause of death from cancer worldwide and has a poor prognosis. Practical risk scores and prognostic models for gastric cancer are lacking. While immunotherapy has succeeded ...

    Authors: YaLing Liu, Dan Li, Yong Chen, YiJuan Liu, YiJuan Lin, XunRu Huang, Ting Wu, ChengDang Wang and Jian Ding
    Citation: BMC Bioinformatics 2023 24:191
  24. In a previous paper, we classified populated HLA class I alleles into supertypes and subtypes based on the similarity of 3D landscape of peptide binding grooves, using newly defined structure distance metric a...

    Authors: Yue Shen, Jerry M. Parks and Jeremy C. Smith
    Citation: BMC Bioinformatics 2023 24:189
  25. The limited knowledge of miRNA–lncRNA interactions is considered as an obstruction of revealing the regulatory mechanism. Accumulating evidence on Human diseases indicates that the modulation of gene expression h...

    Authors: Leon Wong, Lei Wang, Zhu-Hong You, Chang-An Yuan, Yu-An Huang and Mei-Yuan Cao
    Citation: BMC Bioinformatics 2023 24:188
  26. The spectrum of mutations in a collection of cancer genomes can be described by a mixture of a few mutational signatures. The mutational signatures can be found using non-negative matrix factorization (NMF). T...

    Authors: Marta Pelizzola, Ragnhild Laursen and Asger Hobolth
    Citation: BMC Bioinformatics 2023 24:187

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