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  1. Genetic variants can contribute differently to trait heritability by their functional categories, and recent studies have shown that incorporating functional annotation can improve the predictive performance o...

    Authors: Yongwen Zhuang, Na Yeon Kim, Lars G. Fritsche, Bhramar Mukherjee and Seunggeun Lee
    Citation: BMC Bioinformatics 2024 25:65
  2. Functional analysis of high throughput experiments using pathway analysis is now ubiquitous. Though powerful, these methods often produce thousands of redundant results owing to knowledgebase redundancies upst...

    Authors: Dharmesh D. Bhuva, Chin Wee Tan, Ning Liu, Holly J. Whitfield, Nicholas Papachristos, Samuel C. Lee, Malvika Kharbanda, Ahmed Mohamed and Melissa J. Davis
    Citation: BMC Bioinformatics 2024 25:64
  3. Recent developments in the domain of biomedical knowledge bases (KBs) open up new ways to exploit biomedical knowledge that is available in the form of KBs. Significant work has been done in the direction of b...

    Authors: Ghanshyam Verma, Dietrich Rebholz-Schuhmann and Michael G. Madden
    Citation: BMC Bioinformatics 2024 25:62
  4. As a gold-standard quantitative technique based on mass spectrometry, multiple reaction monitoring (MRM) has been widely used in proteomics and metabolomics. In the analysis of MRM data, as no peak picking alg...

    Authors: Ruimin Wang, Hengxuan Jiang, Miaoshan Lu, Junjie Tong, Shaowei An, Jinyin Wang and Changbin Yu
    Citation: BMC Bioinformatics 2024 25:60
  5. The prediction of interactions between novel drugs and biological targets is a vital step in the early stage of the drug discovery pipeline. Many deep learning approaches have been proposed over the last decad...

    Authors: Dimitrios Iliadis, Bernard De Baets, Tapio Pahikkala and Willem Waegeman
    Citation: BMC Bioinformatics 2024 25:59
  6. Data from microbiomes from multiple niches is often collected, but methods to analyse these often ignore associations between niches. One interesting case is that of the oral microbiome. Its composition is rec...

    Authors: Vincent Y. Pappalardo, Leyla Azarang, Egija Zaura, Bernd W. Brandt and Renée X. de Menezes
    Citation: BMC Bioinformatics 2024 25:58
  7. Controlling the False Discovery Rate (FDR) in Multiple Comparison Procedures (MCPs) has widespread applications in many scientific fields. Previous studies show that the correlation structure between test stat...

    Authors: Sedighe Rastaghi, Azadeh Saki and Hamed Tabesh
    Citation: BMC Bioinformatics 2024 25:57

    The Correction to this article has been published in BMC Bioinformatics 2024 25:83

  8. Genome-wide association studies have successfully identified genetic variants associated with human disease. Various statistical approaches based on penalized and machine learning methods have recently been pr...

    Authors: Yongjun Choi, Junho Cha and Sungkyoung Choi
    Citation: BMC Bioinformatics 2024 25:56
  9. Non-coding RNAs represent a large part of the human transcriptome and have been shown to play an important role in disease such as cancer. However, their biological functions are still incompletely understood....

    Authors: Rose-Marie Fraboulet, Yanis Si Ahmed, Marc Aubry, Sebastien Corre, Marie-Dominique Galibert and Yuna Blum
    Citation: BMC Bioinformatics 2024 25:53
  10. Strongly multicollinear covariates, such as those typically represented in metabolomics applications, represent a challenge for multivariate regression analysis. These challenges are commonly circumvented by r...

    Authors: Tim U. H. Baumeister, Eivind Aadland, Roger G. Linington and Olav M. Kvalheim
    Citation: BMC Bioinformatics 2024 25:51
  11. Genome streamlining, the process by which genomes become smaller and encode fewer genes over time, is a common phenomenon among pathogenic bacteria. This reduction is driven by selection for minimized energy e...

    Authors: Abigail Glascock, Eric Waltari, Gytis Dudas, Joan Wong and Vida Ahyong
    Citation: BMC Bioinformatics 2024 25:49
  12. The Drug–Target Interaction (DTI) prediction uses a drug molecule and a protein sequence as inputs to predict the binding affinity value. In recent years, deep learning-based models have gotten more attention....

    Authors: Alireza Dehghan, Karim Abbasi, Parvin Razzaghi, Hossein Banadkuki and Sajjad Gharaghani
    Citation: BMC Bioinformatics 2024 25:48
  13. Many biological studies have shown that lncRNAs regulate the expression of epigenetically related genes. The study of lncRNAs has helped to deepen our understanding of the pathogenesis of complex diseases at t...

    Authors: Dengju Yao, Yuexiao Deng, Xiaojuan Zhan and Xiaorong Zhan
    Citation: BMC Bioinformatics 2024 25:46
  14. The computation of a similarity measure for genomic data is a standard tool in computational genetics. The principal components of such matrices are routinely used to correct for biases due to confounding by p...

    Authors: Georg Hahn, Sharon M. Lutz, Julian Hecker, Dmitry Prokopenko, Michael H. Cho, Edwin K. Silverman, Scott T. Weiss and Christoph Lange
    Citation: BMC Bioinformatics 2024 25:43
  15. The clustering of immune repertoire data is challenging due to the computational cost associated with a very large number of pairwise sequence comparisons. To overcome this limitation, we developed Anchor Clus...

    Authors: Haiyang Chang, Daniel A. Ashlock, Steffen P. Graether and Stefan M. Keller
    Citation: BMC Bioinformatics 2024 25:42
  16. With the development of single-cell technology, many cell traits can be measured. Furthermore, the multi-omics profiling technology could jointly measure two or more traits in a single cell simultaneously. In ...

    Authors: Lifei Wang, Rui Nie, Xuexia Miao, Yankai Cai, Anqi Wang, Hanwen Zhang, Jiang Zhang and Jun Cai
    Citation: BMC Bioinformatics 2024 25:41
  17. Drug–drug interactions (DDI) are prevalent in combination therapy, necessitating the importance of identifying and predicting potential DDI. While various artificial intelligence methods can predict and identi...

    Authors: Jing Zhu, Chao Che, Hao Jiang, Jian Xu, Jiajun Yin and Zhaoqian Zhong
    Citation: BMC Bioinformatics 2024 25:39
  18. Previously, many methods have been used to predict the incidence trends of infectious diseases. There are numerous methods for predicting the incidence trends of infectious diseases, and they have exhibited va...

    Authors: Tianhua Yao, Xicheng Chen, Haojia Wang, Chengcheng Gao, Jia Chen, Dali Yi, Zeliang Wei, Ning Yao, Yang Li, Dong Yi and Yazhou Wu
    Citation: BMC Bioinformatics 2024 25:38
  19. DNA methylation is a major epigenetic modification involved in many physiological processes. Normal methylation patterns are disrupted in many diseases and methylation-based biomarkers have shown promise in se...

    Authors: Naghme Nazer, Mohammad Hossein Sepehri, Hoda Mohammadzade and Mahya Mehrmohamadi
    Citation: BMC Bioinformatics 2024 25:37
  20. Given a genome-scale metabolic model (GEM) of a microorganism and criteria for optimization, flux balance analysis (FBA) predicts the optimal growth rate and its corresponding flux distribution for a specific ...

    Authors: Clémence Joseph, Haris Zafeiropoulos, Kristel Bernaerts and Karoline Faust
    Citation: BMC Bioinformatics 2024 25:36
  21. Natural proteins occupy a small portion of the protein sequence space, whereas artificial proteins can explore a wider range of possibilities within the sequence space. However, specific requirements may not b...

    Authors: Xiaoping Min, Chongzhou Yang, Jun Xie, Yang Huang, Nan Liu, Xiaocheng Jin, Tianshu Wang, Zhibo Kong, Xiaoli Lu, Shengxiang Ge, Jun Zhang and Ningshao Xia
    Citation: BMC Bioinformatics 2024 25:35
  22. Driver genes play a vital role in the development of cancer. Identifying driver genes is critical for diagnosing and understanding cancer. However, challenges remain in identifying personalized driver genes du...

    Authors: Yiran Huang, Fuhao Chen, Hongtao Sun and Cheng Zhong
    Citation: BMC Bioinformatics 2024 25:34
  23. Breast cancer remains a major public health challenge worldwide. The identification of accurate biomarkers is critical for the early detection and effective treatment of breast cancer. This study utilizes an i...

    Authors: Morteza Rakhshaninejad, Mohammad Fathian, Reza Shirkoohi, Farnaz Barzinpour and Amir H. Gandomi
    Citation: BMC Bioinformatics 2024 25:33
  24. Epi-transcriptome regulation through post-transcriptional RNA modifications is essential for all RNA types. Precise recognition of RNA modifications is critical for understanding their functions and regulatory...

    Authors: Honglei Wang, Tao Huang, Dong Wang, Wenliang Zeng, Yanjing Sun and Lin Zhang
    Citation: BMC Bioinformatics 2024 25:32
  25. Within the frame of their genetic capacity, organisms are able to modify their molecular state to cope with changing environmental conditions or induced genetic disposition. As high throughput methods are beco...

    Authors: Benedikt Venn, Thomas Leifeld, Ping Zhang and Timo Mühlhaus
    Citation: BMC Bioinformatics 2024 25:30
  26. The impairment of sperm maturation is one of the major pathogenic factors in male subfertility, a serious medical and social problem affecting millions of global couples. Regrettably, the existing research on ...

    Authors: Yifan Li, Qianying Li, Lvying Wu, Haiyan Wang, Hui Shi, Chenhui Yang, Yiqun Gu, Jianyuan Li and Zhiliang Ji
    Citation: BMC Bioinformatics 2024 25:29
  27. COVID-19 is a disease that caused a contagious respiratory ailment that killed and infected hundreds of millions. It is necessary to develop a computer-based tool that is fast, precise, and inexpensive to dete...

    Authors: Rukundo Prince, Zhendong Niu, Zahid Younas Khan, Masabo Emmanuel and Niyishaka Patrick
    Citation: BMC Bioinformatics 2024 25:28
  28. In recent years, human microbiome studies have received increasing attention as this field is considered a potential source for clinical applications. With the advancements in omics technologies and AI, resear...

    Authors: David Rojas-Velazquez, Sarah Kidwai, Aletta D. Kraneveld, Alberto Tonda, Daniel Oberski, Johan Garssen and Alejandro Lopez-Rincon
    Citation: BMC Bioinformatics 2024 25:26
  29. With the growing number of single-cell datasets collected under more complex experimental conditions, there is an opportunity to leverage single-cell variability to reveal deeper insights into how cells respon...

    Authors: Jamshaid A. Shahir, Natalie Stanley and Jeremy E. Purvis
    Citation: BMC Bioinformatics 2024 25:25
  30. Meta-analysis is a statistical method that combines the results of multiple studies to increase statistical power. When multiple studies participating in a meta-analysis utilize the same public dataset as cont...

    Authors: Emma E. Kim, Chloe Soohyun Jang, Hakin Kim and Buhm Han
    Citation: BMC Bioinformatics 2024 25:24
  31. With the exponential growth of high-throughput technologies, multiple pathway analysis methods have been proposed to estimate pathway activities from gene expression profiles. These pathway activity inference ...

    Authors: Tay Xin Hui, Shahreen Kasim, Izzatdin Abdul Aziz, Mohd Farhan Md Fudzee, Nazleeni Samiha Haron, Tole Sutikno, Rohayanti Hassan, Hairulnizam Mahdin and Seah Choon Sen
    Citation: BMC Bioinformatics 2024 25:23
  32. MiRNAs are involved in the occurrence and development of many diseases. Extensive literature studies have demonstrated that miRNA-disease associations are stratified and encompass ~ 20% causal associations. Co...

    Authors: Yu Han, Qiong Zhou, Leibo Liu, Jianwei Li and Yuan Zhou
    Citation: BMC Bioinformatics 2024 25:22
  33. Long reads have gained popularity in the analysis of metagenomics data. Therefore, we comprehensively assessed metagenomics classification tools on the species taxonomic level. We analysed kmer-based tools, ma...

    Authors: Josip Marić, Krešimir Križanović, Sylvain Riondet, Niranjan Nagarajan and Mile Šikić
    Citation: BMC Bioinformatics 2024 25:15

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