Skip to main content

Articles

Page 10 of 247

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. Alimentary tract malignancies (ATM) caused nearly one-third of all tumor-related death. Cuproptosis is a newly identified cell death pattern. The role of cuproptosis-associated lncRNAs in ATM is unknown.

    Authors: Yangyang Xie, Xue Song, Danwei Du, Zhongkai Ni and Hai Huang
    Citation: BMC Bioinformatics 2023 24:184
  13. Despite the availability of batch effect correcting algorithms (BECA), no comprehensive tool that combines batch correction and evaluation of the results exists for microbiome datasets. This work outlines the ...

    Authors: Michael Olbrich, Axel Künstner and Hauke Busch
    Citation: BMC Bioinformatics 2023 24:182
  14. Co-localized sets of genes that encode specialized functions are common across microbial genomes and occur in genomes of larger eukaryotes as well. Important examples include Biosynthetic Gene Clusters (BGCs) ...

    Authors: Matthias van den Belt, Cameron Gilchrist, Thomas J. Booth, Yit-Heng Chooi, Marnix H. Medema and Mohammad Alanjary
    Citation: BMC Bioinformatics 2023 24:181
  15. Large-scale multi-ethnic DNA sequencing data is increasingly available owing to decreasing cost of modern sequencing technologies. Inference of the population structure with such sequencing data is fundamental...

    Authors: Jinghan Yang, Yuyang Xu, Minhao Yao, Gao Wang and Zhonghua Liu
    Citation: BMC Bioinformatics 2023 24:180
  16. The prediction of potentially pathogenic variant combinations in patients remains a key task in the field of medical genetics for the understanding and detection of oligogenic/multilocus diseases. Models tailo...

    Authors: Nassim Versbraegen, Barbara Gravel, Charlotte Nachtegael, Alexandre Renaux, Emma Verkinderen, Ann Nowé, Tom Lenaerts and Sofia Papadimitriou
    Citation: BMC Bioinformatics 2023 24:179
  17. The field of epigenomics holds great promise in understanding and treating disease with advances in machine learning (ML) and artificial intelligence being vitally important in this pursuit. Increasingly, rese...

    Authors: Trevor Doherty, Emma Dempster, Eilis Hannon, Jonathan Mill, Richie Poulton, David Corcoran, Karen Sugden, Ben Williams, Avshalom Caspi, Terrie E. Moffitt, Sarah Jane Delany and Therese M. Murphy
    Citation: BMC Bioinformatics 2023 24:178
  18. Pyroptosis is closely related to cancer prognosis. In this study, we tried to construct an individualized prognostic risk model for hepatocellular carcinoma (HCC) based on within-sample relative expression ord...

    Authors: Tong Wu, Na Li, Fengyuan Luo, Zhihong Chen, Liyuan Ma, Tao Hu, Guini Hong and Hongdong Li
    Citation: BMC Bioinformatics 2023 24:176
  19. Complex diseases such as neurodevelopmental disorders (NDDs) exhibit multiple etiologies. The multi-etiological nature of complex-diseases emerges from distinct but functionally similar group of genes. Differe...

    Authors: Muhammad Asif, Hugo F. M. C. Martiniano, Andre Lamurias, Samina Kausar and Francisco M. Couto
    Citation: BMC Bioinformatics 2023 24:171
  20. Genome-wide tests, including genome-wide association studies (GWAS) of germ-line genetic variants, driver tests of cancer somatic mutations, and transcriptome-wide association tests of RNAseq data, carry a hig...

    Authors: Jitong Cai, Jianan Zhan, Dan E. Arking and Joel S. Bader
    Citation: BMC Bioinformatics 2023 24:170
  21. Identification of the cancer subtype plays a crucial role to provide an accurate diagnosis and proper treatment to improve the clinical outcomes of patients. Recent studies have shown that DNA methylation is o...

    Authors: Joung Min Choi, Chaelin Park and Heejoon Chae
    Citation: BMC Bioinformatics 2023 24:168
  22. CRISPR-Cas-Docker is a web server for in silico docking experiments with CRISPR RNAs (crRNAs) and Cas proteins. This web server aims at providing experimentalists with the optimal crRNA-Cas pair predicted comp...

    Authors: Ho-min Park, Jongbum Won, Yunseol Park, Esla Timothy Anzaku, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve and Hyunjin Shim
    Citation: BMC Bioinformatics 2023 24:167
  23. Wound healing involves careful coordination among various cell types carrying out unique or even multifaceted functions. The abstraction of this complex dynamic process into four primary wound stages is essent...

    Authors: Ksenia Zlobina, Eric Malekos, Han Chen and Marcella Gomez
    Citation: BMC Bioinformatics 2023 24:166
  24. The identification of disease-related genes is of great significance for the diagnosis and treatment of human disease. Most studies have focused on developing efficient and accurate computational methods to pr...

    Authors: Linlin Zhang, Dianrong Lu, Xuehua Bi, Kai Zhao, Guanglei Yu and Na Quan
    Citation: BMC Bioinformatics 2023 24:162
  25. Deoxyribonucleic acid (DNA) is emerging as an alternative archival memory technology. Recent advancements in DNA synthesis and sequencing have both increased the capacity and decreased the cost of storing info...

    Authors: Golam Md Mortuza, Jorge Guerrero, Shoshanna Llewellyn, Michael D. Tobiason, George D. Dickinson, William L. Hughes, Reza Zadegan and Tim Andersen
    Citation: BMC Bioinformatics 2023 24:160
  26. Biomedical researchers are strongly encouraged to make their research outputs more Findable, Accessible, Interoperable, and Reusable (FAIR). While many biomedical research outputs are more readily accessible t...

    Authors: Marco A. Cano, Ginger Tsueng, Xinghua Zhou, Jiwen Xin, Laura D. Hughes, Julia L. Mullen, Andrew I. Su and Chunlei Wu
    Citation: BMC Bioinformatics 2023 24:159
  27. Accurate somatic variant calling from next-generation sequencing data is one most important tasks in personalised cancer therapy. The sophistication of the available technologies is ever-increasing, yet, manua...

    Authors: Marc Vaisband, Maria Schubert, Franz Josef Gassner, Roland Geisberger, Richard Greil, Nadja Zaborsky and Jan Hasenauer
    Citation: BMC Bioinformatics 2023 24:158
  28. Construction of kinship matrices among individuals is an important step for both association studies and prediction studies based on different levels of omic data. Methods for constructing kinship matrices are...

    Authors: Wei Zhao, Qamar Raza Qadri, Zhenyang Zhang, Zhen Wang, Yuchun Pan, Qishan Wang and Zhe Zhang
    Citation: BMC Bioinformatics 2023 24:153

Featured videos

View featured videos from across the BMC-series journals

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 

Sign up for article alerts and news from this journal