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PubMed2025

VirDetector: a bioinformatic pipeline for virus surveillance using nanopore sequencing.

SUMMARY: Virus surveillance programmes are designed to counter the growing threat of viral outbreaks to human health. Nanopore sequencing, in particular, has proven to be suitable for this purpose, as it is readily available and provides rapid results. However, as special bioinformatic programs are required to extract the relevant information from the sequencing data, applications are needed that allow users without extensive bioinformatics knowledge to carry out the relevant analysis steps. We present VirDetector, a bioinformatic pipeline for virus surveillance using nanopore sequencing. The pipeline automatically installs all required programs and databases and allows all its steps to be executed with a single console command. After preprocessing the samples, including the possibility for basecalling, the pipeline classifies each sample taxonomically and reconstructs the viral consensus genomes, which are then used in phylogenetic analyses. This streamlined workflow provides a user-friendly and efficient solution for monitoring viral pathogens. AVAILABILITY AND IMPLEMENTATION: VirDetector is freely available at https://github.com/NLKaiser/VirDetector and https://zenodo.org/records/14637302 (10.5281/zenodo.14637302).

Nanopore Sequencing↗
PubMed2004

Genome data mining of lactic acid bacteria: the impact of bioinformatics.

Lactic acid bacteria (LAB) have been widely used in food fermentations and, more recently, as probiotics in health-promoting food products. Genome sequencing and functional genomics studies of a variety of LAB are now rapidly providing insights into their diversity and evolution and revealing the molecular basis for important traits such as flavor formation, sugar metabolism, stress response, adaptation and interactions. Bioinformatics plays a key role in handling, integrating and analyzing the flood of 'omics' data being generated. Reconstruction of metabolic potential using bioinformatics tools and databases, followed by targeted experimental verification and exploration of the metabolic and regulatory network properties, are the present challenges that should lead to improved exploitation of these versatile food bacteria.

Adaptation, Biological↗
PubMed1998

[Effect of the war on developmental lag of medical technology in Bosnia-Herzegovina].

The war in Bosnia and Herzegovina, caused by the aggression of neighbouring countries, besides biological destruction and poverty halted every scientific and technological development in all areas, and in medicine, too. This paper presents vital events in population, forced migrations and violent deaths also. A comparative review and state level of medical technology for particular specialist disciplines in B&H is shown for 1995 and 1990. The criteria for the assessment of lagging in technology and health development is the number and structure of specialized staff, state of premises and medical equipment, bioinformatics, etc, with personal estimation of selected number of leading experts in various medical disciplines (Delfy method) about working conditions. The paper presents the assessment of technological lagging in health sector in B&H (average rate of 40.4%) due to the war, related to 1990.

Bosnia and Herzegovina↗
PubMed2026

Longitudinal characterization of mixed-genotype SARS-CoV-2 infections in a military cohort reveals compartmentalized viral populations.

UNLABELLED: Mixed-genotype severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections are a concern due to the potential generation of novel recombinants that give rise to new variants. To better understand intra-host viral dynamics, we analyzed specimens from 24 participants from the U.S. Military Health System's Epidemiology, Immunology, and Clinical Characteristics of Emerging Infectious Diseases with Pandemic Potential COVID-19 cohort with suspected mixed-genotype SARS-CoV-2 infections. From an initial 24 suspected cases, we confirmed 17 as genuine coinfections and graded them by evidence: 7 were "strong"; 4 were "moderate"; 6 were "weak"; and 7 were deemed unlikely to be true mixed-genotype infections. Access to swabs from multiple body sites across the course of infection allowed us to observe compartmentalization and shifts in variant dominance that would have been missed by a single-timepoint analysis, as well as one recombinant Omicron BA.1/BA.2 genome. By using an evidence-based bioinformatic framework to assess sequencing data from well-characterized clinical cases, we distinguished genuine coinfections from bioinformatic artifacts. Our findings emphasize the importance of both extensive specimen collection and careful bioinformatic approaches in ascertaining dual genotype infections. IMPORTANCE: Novel recombinants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) arise from coinfections with different lineages, but mixed infections are not screened for despite risk to public health, and most surveillance relies on single swabs. We analyzed a longitudinal data set with specimens from multiple body sites, providing an opportunity to assess intra-host dynamics. To distinguish true coinfection from bioinformatic artifacts with confidence, we applied a framework that grades evidence for mixed genotypes by incorporating lineage and clade with manually validated variant calls. This allowed investigation beyond abundance levels of mixed genotypes within a single specimen, including observations of compartmentalization and a recombinant virus. This work enables further study of evolutionary, immunological, and clinical implications of mixed SARS-CoV-2 genotypes. Detecting dual-genotype infections and discriminating between true dual-genotype infection vs potential bioinformatics-based artifacts support public health and military readiness. These efforts provide evidence to bolster decision-making in molecular epidemiological studies to track transmission and for the choice of effective countermeasures.

SARS-CoV-2↗
PubMed2000

A library-based bioinformatics services program.

Support for molecular biology researchers has been limited to traditional library resources and services in most academic health sciences libraries. The University of Washington Health Sciences Libraries have been providing specialized services to this user community since 1995. The library recruited a Ph.D. biologist to assess the molecular biological information needs of researchers and design strategies to enhance library resources and services. A survey of laboratory research groups identified areas of greatest need and led to the development of a three-pronged program: consultation, education, and resource development. Outcomes of this program include bioinformatics consultation services, library-based and graduate level courses, networking of sequence analysis tools, and a biological research Web site. Bioinformatics clients are drawn from diverse departments and include clinical researchers in need of tools that are not readily available outside of basic sciences laboratories. Evaluation and usage statistics indicate that researchers, regardless of departmental affiliation or position, require support to access molecular biology and genetics resources. Centralizing such services in the library is a natural synergy of interests and enhances the provision of traditional library resources. Successful implementation of a library-based bioinformatics program requires both subject-specific and library and information technology expertise.

Computational Biology↗
PubMed2004

Tropical diseases, pathogens, and vectors biodiversity in developing countries: need for development of genomics and bioinformatics approaches.

The world's biodiversity, including many infectious, parasitic disease agents and their vectors whose impact on both human and animal health is significant, is largely retained in the developing countries of the tropics. Owing to the number of species involved and the relatively low-level exploration of pathogens and vectors biodiversity, several organisms are still waiting to be discovered and consequently explored in terms of genomics. Although some parasitic species of humans and animals have been studied through genomics and bioinformatics approaches, a significant number of relevant species are still to be addressed. Through the use of modern technologies, such as genomics and bioinformatics, for assessment of biodiversity and targeting tropical diseases, other relevant advantages of these initiatives for developing countries would be technology transfer and capacity building. Consequently, these initiatives could be critical to the development of the respective countries. Moreover, intra- and interhemispheric scientific collaboration should be encouraged and supported to increase the chances for success. In Brazil, the Ministry of Science and Technology has stepped forward to further such initiatives, co-supporting collaborative genomics and bioinformatics projects. The need for the establishment of working groups on genomics and bioinformatics in developing countries as well as the improvement and strengthening of collaborative research projects between developed and developing countries is discussed from our point of view. As these discussions remain open to debate, we encourage colleagues to promote further discussion on the subject.

Animal Diseases↗
PubMed2006

Case-based reasoning in the health sciences: What's next?

OBJECTIVES: This paper presents current work in case-based reasoning (CBR) in the health sciences, describes current trends and issues, and projects future directions for work in this field. METHODS AND MATERIAL: It represents the contributions of researchers at two workshops on case-based reasoning in the health sciences. These workshops were held at the Fifth International Conference on Case-Based Reasoning (ICCBR-03) and the Seventh European Conference on Case-Based Reasoning (ECCBR-04). RESULTS: Current research in CBR in the health sciences is marked by its richness. Highlighted trends include work in bioinformatics, support to the elderly and people with disabilities, formalization of CBR in biomedicine, and feature and case mining. CONCLUSION: CBR systems are being better designed to account for the complexity of biomedicine, to integrate into clinical settings and to communicate and interact with diverse systems and methods.

Artificial Intelligence↗
PubMed1999

Medical libraries, bioinformatics, and networked information: a coming convergence?

Libraries will be changed by technological and social developments that are fueled by information technology, bioinformatics, and networked information. Libraries in highly focused settings such as the health sciences are at a pivotal point in their development as the synthesis of historically diverse and independent information sources transforms health care institutions. Boundaries are breaking down between published literature and research data, between research databases and clinical patient data, and between consumer health information and professional literature. This paper focuses on the dynamics that are occurring with networked information sources and the roles that libraries will need to play in the world of medical informatics in the early twenty-first century.

Databases, Factual↗
PubMed2003

Criteria for classification of medical information.

Medical information, which is the central notion in medical informatics, covers a large scale of structures and forms. Several classifications are possible and two criteria have been used in this paper: structural level and informational level. According to structural level we can distinguish three major areas: bioinformatics and neuroinformatics for molecular/cellular level, medical informatics for individual level and health informatics for community level and healthcare units. According to informational level the terms of data and knowledge are used and the representative information for each structural level is analysed also from this point of view: Finally, information transfer from living systems to computers is also seen through the structural point of view.

Biological Science Disciplines↗
PubMed2027

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗
PubMed2026

Large language models in bioinformatics: a comprehensive survey.

The emergence of foundation models with trillion-level parameters has redefined the landscape of artificial intelligence. Various fields are developing their own large-scale models, which can solve many problems within the field and improve work efficiency. Biological large-scale models are a cross-disciplinary research field that combines mathematics, computer science, and biology, aiming to simulate and understand the structure, function, and dynamic changes of biological systems through the establishment of complex computational models. This field covers multiple levels such as biological pathways, population dynamics, protein folding, etc., providing us with tools for deep exploration of the mysteries of life and applications in medicine, ecology, and other fields. This article reviews the background and research status of biological large-scale models, and discusses future directions. Large language models (LLMs) and other large-scale foundation models have rapidly advanced in recent years, enabling powerful representation learning and generation across text, sequences, and multimodal data. In bioinformatics and biomedicine, these models are increasingly used to analyze genomic sequences, infer protein properties and structures, support drug discovery, and integrate heterogeneous biomedical evidence. This survey reviews the basic principles of LLMs and summarizes representative applications in (i) gene and genome sequence analysis, (ii) protein structure and function prediction, and (iii) drug design, including virtual screening and personalized medicine. We also discuss emerging multi-model modeling approaches, as well as key challenges such as data quality and privacy, interpretability, generalization to new organisms and tasks, and responsible deployment in health-related settings. Finally, we outline future directions for developing reliable, scalable, and explainable bioinformatics foundation models.

bioinformatics↗
PubMed2026

Bioactive macromolecules in LAB-fermented cereals: Mechanisms of formation, functional properties, and health benefits.

Cereal and pseudo-cereal based fermented food products represent a substantial segment of global diet, nutrition as well as food security. Fermentation, especially by Lactic Acid Bacteria (LAB) increases the nutritional and functional values of foods by increasing palatability, bioavailability and minimizing antinutritional factors. LAB plays a pivotal role in synthesizing bioactive peptides, vitamins, minerals and reducing anti-nutrients parallelly. This review elucidates the mechanism through which LAB revamping nutritional macromolecules, such as peptides and polysaccharides, during fermentation and their role in the development of traditional as well as modern fermented foods. Additionally, these fermented foods have been associated with several health benefits. Recent advancement in biotechnology such as genome sequencing, functional genomics, and AI-assisted bioinformatics, have significantly enhanced our understanding of the diversity of LAB, the metabolism, and adaptation mechanisms. The combination of in silico and experimental methods has enabled the development of novel food enzymes as well as highly precise fermentation processes. Together with new innovations, growing demands for quality, consistency, safety as well as health benefits point out the significance of continued research. More studies employing both conventional and modern methods are necessary to explore these food groups completely and achieve better food quality, increased nutrition, more health benefits and comprehensive socioeconomic advantages.

Bioactive macromolecules↗
PubMed1999

The parasites, predators, places and people I have known: a great adventure.

I am extremely proud to receive the WAAVP/Pfizer Animal Health award, and particularly so in Africa, the continent where I have spent a large part of my professional life. In the nearly 40 years in research I have had the privilege and excitement of being involved with many great parasites, predators, places and people. In my early days in Kenya I saw all the great wild animal predators, but soon came to appreciate that the greatest predator of all was disease, particularly parasitic disease, with the devastating effects of tsetse and ticks and the infections they transmitted, and of the all-prevailing roundworms. I learned several key lessons while working with research teams to develop better diagnostics, to improve epidemiological understanding as a basis for rational treatment and control, and to extend the understanding of disease processes with the view to developing novel methods of treatment or prevention. The Power of Pathology in diagnosing diseases, identifying new diseases and as a major tool for pathogenic diseases. The Power of Pathogenesis in identifying key mechanisms that led to new diagnostic techniques, improved methods of treatment, and possibly to future vaccines. The Power of Application of what we already know; while recognising that molecular biology will make a massive contribution to improving animal and human health, it is important to appreciate that we already have a very powerful armamentaria to diagnose, treat, control or prevent disease, and when used properly they have been successful and cost-effective. The Power of Genetic Resistance: the recognition that certain species, certain breeds, and certain individuals within breeds possess remarkable resistance to certain parasitic diseases such as trypanosomosis and helminthosis, and that this trait is genetically correlated with production, opens up a very powerful additional approach to improving animal health. The Importance of Measurement: I completely endorse the sentiments of Lord Kelvin, Professor of Natural Philosophy at Glasgow University who stated in 1846: "When you can measure what you are speaking about, and express it in numbers, you know something about it: but when you cannot measure it, your knowledge is of a meagre and unsatisfactory kind." This applies very much to Parasitology. The future is bright. The combination and integration of the new technologies of Biotechnology, Mathematical Methods and Bioinformatics coupled with advances in Computer Power will produce new standards in animal and human health in the 21st century. New methods of predicting, diagnosis, treating, controlling, prognosing and preventing disease will become available. WAAVP has a major role to play by ensuring that veterinary parasitologists are provided with the proper training, infrastructure and forum to advance new technologies and that the veterinary profession plays a leading role in the future direction they take.

Africa↗
PubMed2004

Multidisciplinary research: strategies for assessing chemical mixtures to reduce risk of exposure and disease.

The Precautionary Principle is founded on the use of comprehensive, coordinated research to protect human health in the face of uncertain risks. Research directed at key data gaps may significantly reduce the uncertainty underlying the complexities of assessing risk to mixtures. The National Institute of Environmental Health Sciences (NIEHS) has taken a leadership role in building the scientific infrastructure to address these uncertainties. The challenge is to incorporate the objectives as defined by the Precautionary Principle with the knowledge gained in understanding the multifactorial nature of gene-environment interactions. Through efforts such as the National Center for Toxicogenomics, the National Toxicology Program, and the Superfund Basic Research Program, NIEHS is translating research findings into public health prevention strategies using a 3-pronged approach: 1) identify/evaluate key deviations from additivity for mixtures; 2) develop/apply/link advanced technologies and bioinformatics to quantitative tools for an integrated science-based approach to chemical mixtures; 3) translate/disseminate these technologies into useable, practical means to reduce exposure and the risk of disease. Preventing adverse health effects from environmental exposures requires translation of research findings to affected communities and must include a high level of public involvement. Integrating these approaches are necessary to advance understanding of the health relevance of exposure to mixtures.

Environmental Exposure↗
PubMed2000

Recent advances in bioinformatics in the medical research environment and applications to the study of skin diseases.

BACKGROUND: The computer has become increasingly intertwined in society for the past 30 years. Within the academic health science centre, there is an increasing need for researchers to become skilled at using the Internet as a mechanism for the retrieval of scientific results and the underlying data. The discipline of bioinformatics, which uses computer technology to provide answers to biological questions, has been expanding in scope and utility for the past decade. Increasing numbers of research groups have been investing in bioinformatics infrastructure to aid in the research process. These continuing investments have led to the establishment for the first time of a supercomputing facility within a hospital. Such computational power is being used for the mapping of genes and the study of human disease. OBJECTIVE: A discussion of the increasing role of computational biology in the research environment of the clinician scientist is presented here. CONCLUSIONS: Though the investment in a supercomputer may not be possible in most research settings, several less expensive alternatives relying on existing desktop computers can provide supercomputer-like performance within nearly any environment.

Computational Biology↗
PubMed2026

Expanding vaginal microbiome pangenomes via a custom MIDAS database reveals Lactobacillus crispatus accessory genes associated with cervical dysplasia.

The vaginal microbiome plays a central role in reproductive health. Vaginal microbiome dysbiosis is associated with many adverse reproductive health outcomes, but most studies have focused on associations at the species level. The potential contribution of intraspecies microbial variation, especially gene content differences across bacterial strains, remains underexplored in reproductive health contexts. The Metagenomic Intra-Species Diversity Analysis (MIDAS) framework enables such analyses, but depends on comprehensive reference databases. We constructed a MIDAS-compatible pangenome database from over 18,000 genomes in the Vaginal Microbiome Genome Collection (VMGC). Compared to the Genome Taxonomy Database (GTDB)-derived reference, the VMGC-derived database expanded the pangenomes of prevalent vaginal species, better capturing vaginal-specific intraspecies diversity. Applying this database to vaginal samples from a cervical dysplasia cohort, we identified 13 Lactobacillus crispatus accessory genes significantly associated with cervical dysplasia, including a HicAB toxin-antitoxin system, three transcriptional regulators, and three phage-derived genes. These findings highlight the utility of body site-specific reference resources and shotgun metagenomic sequencing for uncovering intraspecies microbial variation relevant to reproductive health.IMPORTANCEThe vaginal microbiome plays a critical role in reproductive health, and different bacteria from the same species can carry different genes that influence how the strains interact with the host and other microbes. These strain-level differences are often overlooked when microbiomes are analyzed only at the species level. Existing genomic reference databases are heavily biased toward gut and environmental bacteria, leaving the genetic diversity of vaginal microbes understudied. We built a specialized reference database from over 18,000 vaginal bacterial genomes that better reflects this diversity. We then applied this resource to quantify gene-level variation in vaginal samples from a cervical dysplasia cohort. Focusing on Lactobacillus crispatus, a prevalent and often beneficial vaginal species, we identified 13 genes that were more common in women with cervical dysplasia than in controls. This work demonstrates that body site-specific genomic resources are essential for uncovering strain-level bacterial differences relevant to reproductive health.

Lactobacillus crispatus↗
PubMed2026

Integrated Bioinformatics Analysis Revealing that the NSDHL Gene Might Be Associated with the Progression of Western HFD/SW-Induced Hepatocellular Carcinoma.

BACKGROUND AND OBJECTIVE: Hepatocellular carcinoma (HCC) remains a significant global health concern. However, the etiology and pathogenesis of HCC have yet to be fully elucidated. Previous studies have indicated a close association between obesity and the occurrence and progression of HCC. The objective of this study was to employ bioinformatics strategies in order to explore key genes associated with the clinical diagnosis and prognosis of HCC induced by a Western high-fat diet and sugar water (HFD/SW). MATERIALS AND METHODS: We obtained the expression profile chip data GSE197884 from the Gene Expression Omnibus (GEO) database. Subsequently, “DESeq” and “Limma” R packages were employed to identify differentially expressed genes (DEGs) while constructing a co-expressed gene network using weighted gene co-expression analysis (WGCNA). Functional enrichment analyses were then carried out, followed by the construction of a protein-protein interaction (PPI) network to uncover core genes. The core genes were confirmed through data retrieved from The Cancer Genome Atlas (TCGA) database in order to determine their status as hub genes. Finally, survival and tumor immune infiltration analyses were performed to unveil the prognostic significance of these hub genes. RESULTS: In total, 126 intersection targets were retrieved through the Venn diagram. Gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed that the DEGs were primarily related to the proliferation and apoptosis of HCC cells, the digestion and metabolism of liver cells, the HCC tumor microenvironment, and immune response. The PPI network analysis identified 11 core targets, among which seven hub genes, including NSDHL, MVK, SQLW, GCAT, ALAS2, GLDC, and AGXT, were obtained after TCGA database validation. Furthermore, it was found that NSDHL was closely associated with the clinical diagnosis and prognosis of HCC induced by HFD/SW and also affected the cellular immune infiltration in the HCC tumor microenvironment. CONCLUSION: The present study demonstrated a significantly elevated expression of NSDHL in HCC tissues, suggesting its potential as a specific biomarker for precise clinical diagnosis and prognosis assessment of HCC induced by HFD/SW.

Computational Biology↗
PubMed2006

Mass spectrometry-based proteomics combined with bioinformatic tools for bacterial classification.

Timely classification and identification of bacteria is of vital importance in many areas of public health. We present a mass spectrometry (MS)-based proteomics approach for bacterial classification. In this method, a bacterial proteome database is derived from all potential protein coding open reading frames (ORFs) found in 170 fully sequenced bacterial genomes. Amino acid sequences of tryptic peptides obtained by LC-ESI MS/MS analysis of the digest of bacterial cell extracts are assigned to individual bacterial proteomes in the database. Phylogenetic profiles of these peptides are used to create a matrix of sequence-to-bacterium assignments. These matrixes, viewed as specific assignment bitmaps, are analyzed using statistical tools to reveal the relatedness between a test bacterial sample and the microorganism database. It is shown that, if a sufficient amount of sequence information is obtained from the MS/MS experiments, a bacterial sample can be classified to a strain level by using this proteomics method, leading to its positive identification.

Amino Acid Sequence↗