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PubMed2025

Systematically investigating and identifying bacteriocins in the human gut microbiome.

Human gut microbiota produces unmodified bacteriocins, natural antimicrobial peptides that protect against pathogens and regulate host physiology. However, current bioinformatic tools limit the comprehensive investigation of bacteriocins' biosynthesis, obstructing research into their biological functions. Here, we introduce IIBacFinder, a superior analysis pipeline for identifying unmodified class II bacteriocins. Through large-scale bioinformatic analysis and experimental validation, we demonstrate their widespread distribution across the bacterial kingdom, with most being habitat specific. Analyzing over 280,000 bacterial genomes, we reveal the diverse potential of human gut bacteria to produce these bacteriocins. Guided by meta-omics analysis, we synthesized 26 hypothetical bacteriocins from gut commensal species, with 16 showing antibacterial activities. Further ex vivo tests show minimal impact of narrow-spectrum bacteriocins on human fecal microbiota. Our study highlights the huge biosynthetic potential of unmodified bacteriocins in the human gut, paving the way for understanding their biological functions and health implications.

Humans↗
PubMed2003

Imprinting evolution and the price of silence.

In contrast to the biallelic expression of most genes, expression of genes subject to genomic imprinting is monoallelic and based on the sex of the transmitting parent. Possession of only a single active allele can lead to deleterious health consequences in humans. Aberrant expression of imprinted genes, through either genetic or epigenetic alterations, can result in developmental failures, neurodevelopmental and neurobehavioral disorders and cancer. The evolutionary emergence of imprinting occurred in a common ancestor to viviparous mammals after divergence from the egg-laying monotremes. Current evidence indicates that imprinting regulation in metatherian mammals differs from that in eutherian mammals. This suggests that imprinting mechanisms are evolving from those that were established 150 million years ago. Therefore, comparing genomic sequence of imprinted domains from marsupials and eutherians with those of orthologous regions in monotremes offers a potentially powerful bioinformatics approach for identifying novel imprinted genes and their regulatory elements. Such comparative studies will also further our understanding of the molecular evolution and phylogenetic distribution of imprinted genes.

Alleles↗
PubMed2026

Supplementation with effective microorganisms in earthen ponds affects common carp growth and abundance of specific bacterial families.

BACKGROUND: Effective microorganisms are increasingly explored in aquaculture to improve fish health and growth without leaving harmful residues. However, their efficacy in real-world pond environments remains poorly understood. Here, we conducted a 103-day field experiment to assess the effects of supplementation with two effective commercial microorganism products on the microbial communities and growth performance of common carp (Cyprinus carpio). BACKGROUND: Effective microorganisms were added to the feed and directly to the pond water. Microbial diversity was analysed via 16 S rRNA and whole-genome shotgun sequencing across three environments: water (three time points), sediment (two time points), and fish intestine (one time point) from 25 experimental ponds. Bioinformatics processing was performed using the QIIME2 and MG-TK pipelines with taxonomic classification based on the SILVA database. The results showed that although supplemented bacterial families did not establish significantly in pond environments, fish exposed to specific effective microorganism treatments showed improved growth metrics. CONCLUSIONS: These findings suggest that effective microorganisms can increase carp growth in aquaculture without significantly altering the resident microbial communities, suggesting a promising residue-free alternative to traditional additives in aquaculture.

Animals↗
PubMed2026

Comparative performance of portable DNA extraction protocols and bioinformatics workflows for rapid detection of gram-negative bacteria and antimicrobial resistance using Oxford Nanopore sequencing.

Oxford Nanopore Technology (ONT) enables rapid, portable pathogen identification and antimicrobial resistance (AMR) detection, but the reliability of downstream genomic analyses is highly dependent on DNA extraction quality, particularly in resource-limited settings. This study comparatively evaluated four portable bacterial DNA extraction protocols derived from three commercial kits to determine their impact on nanopore sequencing performance, bioinformatics workflow completion, and field deployability. Six gram-negative bacterial isolates (Escherichia coli, n = 4; Pseudomonas sp., n = 1; and Salmonella sp., n = 1) were processed using four extraction protocols: SwiftX DNA, SwiftX DNA with proteinase K (ProtK), SwiftX ParaBact, and NucleoSpin Microbial. Twenty-four resulting DNA extracts were sequenced on a single multiplexed MinION R10.4.1 flow cell. Sequencing data were analyzed using validated Galaxy-based generic and species-specific pipelines. Workflow completion was defined as successful progression through quality control, assembly, virulence, plasmid, and AMR detection modules. DNA purity varied substantially by extraction protocol and was strongly associated with successful workflow completion (Kruskal-Wallis, P = 0.0006). Accordingly, NucleoSpin Microbial achieved 100% workflow completion, and SwiftX ParaBact achieved 83%, while both SwiftX DNA-based protocols failed to complete full workflows. Importantly, key AMR genes required to classify isolates as multidrug-resistant were consistently detected using both NucleoSpin Microbial and SwiftX ParaBact extractions. However, NucleoSpin Microbial assemblies showed significantly higher contiguity and enabled a broader, more complete detection of virulence factors, pathogenicity islands, plasmid replicons, and accessory AMR genes, reflecting enhanced genomic resolution.IMPORTANCERapid whole-genome sequencing is increasingly used to detect antimicrobial resistance and guide public health responses, but its reliability depends strongly on how bacterial DNA is extracted. In this study, we have shown that DNA extraction method choice has a major impact on Oxford Nanopore sequencing performance across clinically relevant gram-negative bacteria. While silica column-based extraction maximized genomic completeness and analytical depth, paramagnetic bead-based reverse purification offered superior portability with sufficient resolution for frontline AMR surveillance. These findings highlight a practical trade-off between field deployability and high-resolution genomic characterization in low-resource settings.

DNA extraction↗
PubMed2003

A bioinformatic approach to the identification of candidate genes for the development of new cancer diagnostics.

A multivariate analysis of the National Cancer Institute gene expression database is reported here. The soft independent modelling of a class analogy approach achieved cell line classification according to histological origin. With the PCA method, based on the expression of 9605 genes and ESTs, classification of colon, leukaemia, renal, melanoma and CNS cells could be performed, but not of lung, breast and ovarian cells. Another multivariate procedure, called partial least squares discriminant analysis (PLS-DA), provides bioinformatic clues for the selection of a limited number of gene transcripts most effective in discriminating different tumoral histotypes. Among them it is possible to identify candidates in the development of new diagnostic tests for cancer detection and unknown genes deserving high priority in further studies. In particular, melan-A, acid phosphatase 5, dopachrome tautomerase, S100-beta and acid ceramidase were found to be among the most important genes for melanoma. The potential of the present bioinformatic approach is exemplified by its ability to identify differentiation and diagnostic markers already in use in clinical settings, such as protein S-100, a prognostic parameter in patients with metastatic melanoma and a screening marker for melanoma metastasis.

Biomarkers, Tumor↗
PubMed2006

Altered expression of serum protein in ginsenoside Re-treated diabetic rats detected by SELDI-TOF MS.

Diabetes mellitus (DM) is now a global health problem, however, its pathogenesis has not yet been fully deciphered. Even though modern medicine has great contribution to the control and treatment of DM, it is still far from success to completely cure the disease. Panax ginseng C.A. Meyer (ginseng) is a well-recognized traditional Chinese medicine for treating DM in Asia. In this study, high throughput proteomic approach has been adopted to investigate the antidiabetic action of 2 weeks' ginsenoside Re (Re, a major component of ginseng) administration to streptozotocin-induced diabetic rats. Employing surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) and bioinformatics, 432 cluster peaks were detected in the samples, among them 293 potential biomarkers were found to have significant differentiations between the DM and control normal rats. When the Re-treated diabetic rats were compared to the untreated ones, a protein peak was detected to have significant alteration corresponding to Re treatment. This specific protein was found to match with C-reactive protein (CRP) in the protein database, and was subsequently validated by ELISA. This is the first study demonstrated that CRP could be altered by Re treatment, indicating that Re may improve diabetes and its complications by alleviation of inflammation.

Administration, Oral↗
PubMed2003

Ovarian cancer and high-risk women-implications for prevention, screening, and early detection.

OBJECTIVE: The aim of this study was to understand the strengths and limitations of current prevention, detection, and screening methods for ovarian cancer and to identify research areas to improve prevention, screening, and detection of the disease for all women as well as for women carrying a mutation in the BRCA1/2 genes. METHODS: We convened an ovarian cancer symposium at the University of Pittsburgh in May 2002. Nineteen leading scientists representing disciplines such as epidemiology, molecular biology, pathology, genetics, bioinformatics, and psychology presented the latest data on ovarian cancer prevention, screening, and early detection. RESULTS: Ovarian cancer is the most common cause of death from a gynecologic malignancy in the United States. Because survival depends on stage of diagnosis, early detection is critical in improving clinical outcome. However, existing screening techniques (CA125, transvaginal ultrasound) have not been shown to reduce morbidity or mortality. Moreover, with the exception of oral contraceptives, there are no available chemopreventive agents. Bilateral salpingo-oophorectomy also has been shown to reduce incidence, but this procedure has several drawbacks in terms of a woman's reproductive, cardiovascular, skeletal, and mental health. CONCLUSIONS: Better methods to prevent, detect, and screen for ovarian cancer in all women, but particularly in high-risk women carrying mutations in BRCA1/2, are urgently needed. This article reviews the current state of knowledge in the etiology, prevention, and early detection of ovarian cancer and suggests several areas for future clinical, epidemiologic, and laboratory-based research.

Female↗
PubMed2001

Proteomics in early detection of cancer.

Early detection is critical in cancer control and prevention. Biomarkers help in this process by providing valuable information about a the status of a cell at any given point in time. As a cell transforms from nondiseased to neoplastic, distinct changes occur that could be potentially detected through the identification of the appropriate biomarkers. Biomarker research has benefited from advances in technology such as proteomics. We discuss here ongoing research in this field, focusing on proteomic technologies. The advances in two-dimensional electrophoresis and mass spectrometry are discussed in light of their contribution to biomarker research. Chip-based techniques, such as surface-enhanced laser desorption, and ionization and emerging methods, such as tissue and antibody arrays, are also discussed. The development of bioinformatic tools that have and are being developed in parallel to proteomics is also addressed. This report brings into focus the efforts of the Early Detection Research Network at the National Cancer Institute in harnessing scientific expertise from leading institutions to identify and validate biomarkers for early detection and risk assessment.

Antibodies↗
PubMed2024

RNA-seq reveals differentially expressed lncRNAs and circRNAs and their associated functional network in HTR-8/Svneo cells under hypoxic conditions.

Placental hypoxia is hazardous to maternal health as well as fetal growth and development. Preeclampsia and intrauterine growth restriction are common pregnancy problems, and one of the causes is placental hypoxia. Placental hypoxia is linked to a number of pregnancy illnessesv. To investigate their potential function in anoxic circumstances, we mimicked the anoxic environment of HTR-8/Svneo cells and performed lncRNA and circRNA studies on anoxic HTR-8/Svneo cells using high-throughput RNA sequencing. The miRNA target genes were predicted by integrating the aberrant expression of miRNAs in the placenta of preeclampsia and intrauterine growth restriction, and a ceRNA network map was developed to conduct a complete transcriptomic and bioinformatics investigation of circRNAs and lncRNAs. The signaling pathways in which the genes were primarily engaged were predicted using GO and KEGG analyses. To propose a novel explanation for trophoblastic organism failure caused by lncRNAs and circRNAs in an anoxic environment.

Humans↗
PubMed2026

Mobile genetic elements-driven partitions of mega-plasmids resistome in Salmonella Infantis.

Salmonella enterica serovar Infantis (S. Infantis) becomes the primary pathogen among the top Salmonella serotypes, contributing to numerous cases of foodborne illness annually in the United States. S. Infantis infection has spread rapidly worldwide, especially the clones with pESI-like plasmids. However, the underlying mechanisms regarding the transmission of S. Infantis, particularly mobile genetic elements (MGEs), mediated horizontal gene transfer, are limited. The objective of this study was to evaluate the relationship, if any, among MGEs, antibiotic-resistant genes (ARGs), and virulence factors (VFs) within S. Infantis via genomic analysis. A total of 91 S. Infantis complete genomes with high sequencing quality were selected for downstream bioinformatic analysis. The results showed that the majority of VFs were located in the bacterial chromosomes, while most ARGs were carried by S. Infantis mega-plasmids in an MGE-favored manner. Integrons and transposons were closely associated with certain ARGs, but prophages within mega-plasmids displayed a diverse ARG profile. Collectively, MGE-mediated horizontal gene transfer might lead to ARG acquisition by mega-plasmids, subsequently contributing to the resistome of S. Infantis. Our findings provide insights into the development of MGE-associated resistome in S. Infantis that could inform more effective prevention and intervention strategies to control this pathogen, further ensuring public health and safety.IMPORTANCEThe rapid emergence and transmission of antibiotic-resistant foodborne pathogens pose a significant risk to public health, necessitating the discovery of underlying mechanisms to control multidrug-resistant pathogens. Salmonella enterica serovar Infantis (S. Infantis) has become a pathogen of clinical and epidemiological relevance in recent years, ranking as the top prevalent serovar associated with foodborne illnesses and exhibiting resistance to several antibiotics. The current investigation of multidrug resistance (MDR) S. Infantis strains primarily emphasized the presence of mega-plasmids. However, the question of how mega-plasmids contribute to the transmission of antibiotic-resistant genes (ARG) is unaddressed. Utilizing the genomic characterization of S. Infantis complete genomes with high quality, our study revealed that the resistome of S. Infantis mega-plasmids-the primary ARG reservoirs of S. Infantis-followed a specific pattern of mobile genetic elements (MGEs). Monitoring the spread of MGE-carried ARGs within mega-plasmids should be considered in future surveillance.

Interspersed Repetitive Sequences↗
PubMed2001

Microarray applications in neuroscience.

Advances in all facets of technology from molecular biology to imaging and computational biology offer unprecedented opportunities for improving our understanding of the brain in health and disease. Oligonucleotide and cDNA microarray analysis, using a variety of "DNA chips," is a recently developed high-throughput technique that allows for tour-de-force analysis of gene expression. We review this powerful technique, developed in genetics laboratories, with reference to applications in neurologic diseases in humans and the use of animal models. The typical microarray experiment is multistaged and includes preparation or purchase of arrays, preparation of target DNA and probe, target DNA hybridization, microarray scanning, and image analysis. The power and pitfalls of this technology are discussed in the context of neuroscience paradigms. Since unprecedented amounts of data are produced from microarray experiments, bioinformatics and modeling expertise are increasingly becoming critical components of this approach.

Animals↗
PubMed2002

Gene expression studies using microarrays: principles, problems, and prospects.

A number of mammalian genomes having been sequenced, an important next step is to catalog the expression patterns of all transcription units in health and disease by use of microarrays. Such discovery programs are crucial to our understanding of the gene networks that control developmental, physiological, and pathological processes. However, despite the excitement, the full promise of microarray technology has yet to be realized, as the superficial simplicity of the concept belies considerable problems. Microarray technology is very new; methodologies are still evolving, common standards have yet to be established, and many problems with experimental design and variability have still to be fully understood and overcome. This review will describe the time course of a microarray experiment-RNA isolation from sample, target preparation, hybridization to the microarray probe, data capture, and bioinformatic analysis. For each stage, the advantages and disadvantages of competing techniques are compared, and inherent sources of error are identified and discussed.

Animals↗
PubMed2006

Twenty years of systemic therapy for breast cancer.

The past 2 decades of systemic therapy for breast cancer have been a period of monumental change, in terms of both theory and technology. Adjuvant therapy developed from two strands of research--one in systemic chemotherapy and one in hormonal therapy--both of which were aided by the application of higher statistical methodology to clinical trials. The agent with the single greatest public health impact in oncology has been tamoxifen, but problems with tamoxifen therapy led to the development of the aromatase inhibitors, and further research led to the use of hormonal therapy in a chemopreventive capacity. The evolution of systemic chemotherapy for breast cancer has been an interplay between theory-driven approaches and new agents. By the late 1980s, accumulating data revealed that overexpression of HER2 (erbB2) played an important role in a substantial portion of breast cancers, which prompted the development of trastuzumab (Herceptin), an agent targeting HER2-positive disease. Determining HER2 status proved essential to assessing patient eligibility for trastuzumab therapy. Decoding of the human genome and application of bioinformatics further revolutionized the possibilities in breast cancer treatment.

Antibodies, Monoclonal↗
PubMed2005

American Society of Nephrology Renal Research Report.

In the spring of 2004, the Board of Advisors and the Council of the American Society of Nephrology believed it necessary to conduct a series of research retreats to steer priorities appropriately in an era of limited resources. In this regard, retreats were conducted by five working groups in areas that were identified to require distinct attention: acute renal failure, diabetic nephropathy, hypertension, transplantation, and uremic cardiovascular toxicity. The goal of each retreat was to join experts, both within and outside the renal community, to identify areas of basic science and clinical research that should receive highest priority in the next five years. The five retreat summaries with their individual listings of research priorities allow for the distillation of three overriding recommendations that strongly emanate from them: Continued support and expansion of investigator initiated research projects. In each of the five subjects on which this report is focused, there are areas of investigation that require the support of investigator-initiated projects if ultimately progress is to be made in the understanding of the basic mechanisms that underlie the diseases processes on which we want to have an impact in the next decade. It is recommended that there be an expansion of support for research in the areas highlighted in this report that lend themselves to this mechanism of funding by encouraging applications with appropriate program announcements and requests for proposals. In addition to vigorous support for RO1 grants, continued funding of Concept Development and R21/R33 grants is essential to support development of investigator-initiated clinical studies in these areas of high priority. Support for the development of a collaborative research infrastructure. The reader of this article cannot but be impressed by the common theme that independently emerged from each report regarding the urgent need to develop an infrastructure for kidney research. This infrastructure requires the development of core facilities for the centralized processing of biologic materials (genomics, proteomics, and metabolomics), in vivo imaging, development and distribution of antibodies and other molecular reagents, development and distribution and phenotyping of mouse models, and perhaps others. These need to be complemented with core bioinformatics centers that collect and analyze data and finally with a network of clinical study coordinating centers. Expansion of kidney research infrastructure can be achieved by vigorous funding of a program of kidney research core centers. Specifically, we propose that the number of kidney centers be increased with the goal of providing core facilities to support collaborative research on a local, regional, and national level. It should be emphasized that such a program of competitively reviewed kidney core centers would facilitate investigator-initiated research in both laboratory and patient-oriented investigation. This approach is also very much in line with the collaborative research enterprise conceived in the National Institutes of Health's Road Map. Support programs that have an impact on the understanding of the relationship between renal and cardiovascular disease (CVD). It is now widely recognized that chronic kidney dysfunction is an important risk factor for the development of CVD. It therefore is not surprising that essentially every one of the retreat reports emphasizes the urgency to examine this relationship. It is recommended that the National Institute of Diabetes and Digestive and Kidney Diseases and the National Heart, Lung, and Blood Institute (NHLBI) work cooperatively to support both basic and clinical science projects that will shed light on the pathogenesis of this relationship and to support the exploration of interventions that can decrease cardiovascular events in patients with chronic kidney disease. Thus, we specifically propose that the NHLBI support investigator-initiated research (RO1, Concept Development, and R21/R33) grants in areas of kidney research with a direct relationship to CVD. Similarly, the NHLBI should work collaboratively with the National Institute of Diabetes and Digestive and Kidney Diseases to support the proposed program of kidney core research centers. This subject provides an excellent opportunity to foment a collaboration between two institutes, along the lines of the present-day overall philosophy of the National Institutes of Health.

Acute Kidney Injury↗
PubMed2006

Identification of human liver mitochondrial aldehyde dehydrogenase as a potential target for microcystin-LR.

Microcystins (MCs) are hepatotoxins produced by a variety of freshwater cyanobacteria. The toxicity of these hepatotoxins is a severe health issue for both humans and livestock; MCs have been implicated in the development of liver cancer, necrosis, and even deadly intrahepatic bleeding. Microcystin-LR (MC-LR) is the MC variant most commonly encountered in a contaminated aquatic system. Thus far, MC-LR has only been shown to target the serine/threonine protein phosphatases 1 and 2A (PP1 and PP2A) and it is still unknown whether MC-LR can bind and inhibit any other protein targets inside the cell. To find potential MC-LR targets, we screened a phage display library for peptide ligands that specifically recognize MC-LR. Using these peptide sequences as guides, we performed a series of bioinformatics analyses revealing that MC-LR binds human liver aldehyde dehydrogenase 2 (ALDH2) at residues 447-451. We confirmed MC-LR binding of ALDH2 via automated docking computation, which yielded results matching our experimental and bioinformatics analyses. ALDH2 dysfunction may lead to aldehyde-induced reactive oxygen species (ROS) generation and, in turn, apoptosis. Therefore, ALDH2 could potentially be a target of MC-LR associated with the process of ROS-induced apoptosis. Our current study presents a new approach to the study of interactions of biological molecules by combining phage display technology with computational methods.

Aldehyde Dehydrogenase↗
PubMed2000

Tuberculosis vaccine design: influence of the completed genome sequence.

Tuberculosis continues to be a major health problem, with more adults dying from Mycobacterium tuberculosis than any other pathogen world-wide. With the onset of the HIV epidemic and an increase in drug-resistant M. tuberculosis strains, the need for an improved vaccine has become an international priority. The recent completion of the genome sequences for two M. tuberculosis strains provides a wealth of information that can be used to design new strategies for vaccine development. The challenge comes in making rational choices from among the 4,000 genes of the most probable candidate immunogens or virulence genes.Thus, a well-designed screen is needed to reduce the number of candidates that must be tested. Presently, the most valuable role that bioinformatics can play is to provide such a screen.

Animals↗
PubMed2026

Molecular determinants of antimicrobial resistance in Klebsiella pneumoniae isolates among geriatric patients in Chattogram, Bangladesh: a cross-sectional study.

Klebsiella pneumoniae (KPN) infections pose heightened risks in the geriatric population due to weakened immunity, prevalent comorbidities, potential exposure in long-term care settings, and increased likelihood of antibiotic resistance (ABR). The study focused on the prevalence and antibiotic resistance of KPN infections, the presence of ABR genes in KPN, and the genomic characterization of KPN obtained from geriatric patients in Chattogram. A total of 543 specimens were collected from four hospitals in Chattogram, along with demographic data from hospital records. Genomic DNA was extracted from multi-drug-resistant (MDR) KPN, and the presence of ABR genes, blaTEM-1, sul-1, aadB, blaNDM-1, blaSHV-11, and phoE was identified. To characterize the KPN genomes, two MDR KPN isolates were subjected to whole-genome sequencing (WGS), and the data were analyzed using bioinformatics tools to identify genomic determinants of ABR. KPN exhibited high resistance to ceftazidime (96%), cefuroxime (92%), and cefixime (83%), but sensitivity to colistin (79%) and amikacin (75%). MDR KPN was mostly detected in sputum (36%) and urine (27%) specimens, where the prevalence of ABR genes, blaTEM-1, sul1, aadB, blaNDM-1, and blaSHV-11 were 28.2%, 17%, 6.17%, 56%, and 48% of these strains, respectively. These genomes exhibited distinct profiles for sequence types, ST420 and ST277 in Kpn007 and Kpn016, respectively, and ABR genes (qnrS1, blaCTX-M-15, and blaSHV-27), virulence factors (ybt, iuc1, iro1), and contained both K (K20, K46) and O antigens (O1, O3b). MDR KPN in the geriatric population poses a serious health concern due to their increased vulnerability to infections and limited treatment options, requiring careful management.IMPORTANCEMultidrug resistance (MDR) and the hypervirulence nature of Klebsiella pneumoniae (KPN) in geriatric patients pose a critical health concern in nosocomial infections worldwide and result in high clinical complexity and mortality. The study investigated the factors for KPN infections and analyzed antimicrobial resistance profiles. More than 60% of Klebsiella pneumoniae isolates from geriatric patients were resistant to third- and fourth-generation cephalosporins, and most isolates carried blaNDM-1 and blaSHV-11 genes. Analyzing whole genomes of two KPNs, Kpn007 (ST277) was identified as a hypervirulent strain with aerobactin and yersinia siderophores, contributing to virulence, and Kpn016 (ST420) carried fluoroquinolone (qnrS1), ESBL (blaCTX-M-15 and blaSHV-27) resistance. Both genomes contained K antigens (K20 and K46) and O antigens (O1 and O3b).

Humans↗
PubMed2003

Bioinformatics and medical informatics: collaborations on the road to genomic medicine?

In this report, the authors compare and contrast medical informatics (MI) and bioinformatics (BI) and provide a viewpoint on their complementarities and potential for collaboration in various subfields. The authors compare MI and BI along several dimensions, including: (1) historical development of the disciplines, (2) their scientific foundations, (3) data quality and analysis, (4) integration of knowledge and databases, (5) informatics tools to support practice, (6) informatics methods to support research (signal processing, imaging and vision, and computational modeling, (7) professional and patient continuing education, and (8) education and training. It is pointed out that, while the two disciplines differ in their histories, scientific foundations, and methodologic approaches to research in various areas, they nevertheless share methods and tools, which provides a basis for exchange of experience in their different applications. MI expertise in developing health care applications and the strength of BI in biological "discovery science" complement each other well. The new field of biomedical informatics (BMI) holds great promise for developing informatics methods that will be crucial in the development of genomic medicine. The future of BMI will be influenced strongly by whether significant advances in clinical practice and biomedical research come about from separate efforts in MI and BI, or from emerging, hybrid informatics subdisciplines at their interface.

Biomedical Research↗