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Bibliography on: Metagenomics

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Robert J. Robbins is a biologist, an educator, a science administrator, a publisher, an information technologist, and an IT leader and manager who specializes in advancing biomedical knowledge and supporting education through the application of information technology. More About:  RJR | OUR TEAM | OUR SERVICES | THIS WEBSITE

RJR: Recommended Bibliography 18 Mar 2026 at 01:31 Created: 

Metagenomics

While genomics is the study of DNA extracted from individuals — individual cells, tissues, or organisms — metagenomics is a more recent refinement that analyzes samples of pooled DNA taken from the environment, not from an individual. Like genomics, metagenomic methods have great potential in many areas of biology, but none so much as in providing access to the hitherto invisible world of unculturable microbes, often estimated to comprise 90% or more of bacterial species and, in some ecosystems, the bulk of the biomass. A recent describes how this new science of metagenomics is beginning to reveal the secrets of our microbial world: The opportunity that stands before microbiologists today is akin to a reinvention of the microscope in the expanse of research questions it opens to investigation. Metagenomics provides a new way of examining the microbial world that not only will transform modern microbiology but has the potential to revolutionize understanding of the entire living world. In metagenomics, the power of genomic analysis is applied to entire communities of microbes, bypassing the need to isolate and culture individual bacterial community members.

Created with PubMed® Query: ( metagenomic OR metagenomics OR metagenome ) NOT pmcbook NOT ispreviousversion

Citations The Papers (from PubMed®)

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RevDate: 2026-03-17
CmpDate: 2026-03-17

Vidal E, Phanthanourak AL, Gharib A, et al (2026)

ABaCo: addressing heterogeneity challenges in metagenomic data integration with adversarial generative models.

Nucleic acids research, 54(5):.

The rapid advancement of high-throughput metagenomics has produced extensive and heterogeneous datasets with significant implications for environmental and human health. Integrating these datasets is crucial for understanding the functional roles of microbiomes and the interactions within microbial communities. However, this integration remains challenging due to technical heterogeneity and the inherent complexity of these biological systems. To address these challenges, we introduce ABaCo, a generative model that combines a variational autoencoder with an adversarial discriminator specifically designed to handle the unique characteristics of metagenomic data. Our results demonstrate that ABaCo effectively integrates metagenomic data from multiple studies, corrects technical heterogeneity, outperforms existing methods, and preserves taxonomic-level biological signals. We have developed ABaCo as an open-source, fully documented Python library to facilitate, support and enhance metagenomics research in the scientific community.

RevDate: 2026-03-17
CmpDate: 2026-03-17

Akresi JE, Do TVT, Cui Z, et al (2026)

Limousia bacteria encode mucinolysome for mucin utilization in animal gut microbiomes.

Gut microbes, 18(1):2645267.

Mucins create a physical barrier that protects human and animal tissues from microbial pathogens. Here, we provide evidence that mucin degradation can be mediated by unique mucinolysomes, defined as extracellular cellulosome-like multi-enzyme complexes specializing in mucin degradation. We predicted the presence of mucinolysomes across 63 metagenome-assembled genomes (MAGs) and two isolated genomes of three anaerobic species of Limousia, including seven MAGs from human gut microbiome samples from six countries. We validated that mucins can support the growth of the Limousia strain ET540 as its sole carbon source, triggering the upregulation of most mucinolysome-related genes in ET540. We modeled the mucinolysome assembly by predicting cohesin‒dockerin interactions among most of the mucinolysome proteins using AlphaFold3. We performed metagenomic read mapping of 2897 fecal samples from various human cohorts and wild/domesticated animals against Limousia MAGs. We found that Limousia has a greater abundance and prevalence in farm animals than in humans. This study characterizes and adds the Limousia bacteria as unique member to the list of human and animal gut mucin glycan-degrading bacteria. Overall, we discovered that this novel gut bacteria genus (Limousia) uses a previously unrecognized molecular mechanism for highly organized mucin glycan degradation, shedding new light on microbe‒host interactions in the gastrointestinal tracts of diverse animal hosts, including humans.

RevDate: 2026-03-17

Farsi DN, Cotillard A, Wilson B, et al (2026)

Gut Microbiome Composition and Function, Diet and Clinical Factors in Relation to Fermentable Carbohydrate-Induced Bloating: A Double-Blind, Randomized, Crossover Trial.

The American journal of gastroenterology pii:00000434-990000000-02142 [Epub ahead of print].

BACKGROUND: Specific foods are associated with abdominal bloating, which can significantly impact quality of life.

OBJECTIVE: To identify responders to fiber-induced bloating and the mechanisms underpinning clinical and microbial responses.

DESIGN: Double-blind, placebo-controlled, randomized, 2-period, 2-challenge crossover trial in 41 individuals with functional bloating. Participants were randomized to 8 g/d of fructan or α-galacto-oligosaccharides (α-GOS) for 7 days with a 21-day washout. Clinical, nutritional, microbial (shotgun sequencing, metatranscriptomics) and fermentation (short-chain fatty acids, volatile organic compounds, breath hydrogen) profiles were characterized prior to each challenge to identify factors predicting response, and after the challenge to elucidate mechanisms underpinning food-induced bloating.

RESULTS: Thirty-nine participants completed both challenges (39 fructan, 40 α-GOS). Overall, seven (7/39, 17.9%) participants were fructan responders and eight (8/40, 20%) were α-GOS responders (experienced fiber-related symptom induction). Clinical metrics indicative of bloating distinguished responders and non-responders to both challenges, including greater abdominal girth (fructan, p = 0.009; α-GOS, p = 0.030). α-GOS responders had higher breath hydrogen (H2) pre-challenge than α-GOS non-responders (p = 0.011). Trends were identified within metagenomic and metatranscriptomic gut microbial analyses, with higher carbohydrate active enzyme (CAZyme) diversity in fructan responders (pre-challenge, adjusted p-value (padj) = 0.024; post-challenge, padj = 0.042), and greater increase in gene expression for gamma-aminobutyric acid (GABA) degradation in α-GOS responders (padj = 0.041).

CONCLUSION: A higher burden of GI symptoms predicts clinical response to fermentable fibers in functional bloating, while for α-GOS, higher repeated fasting breath H2 is also a predictor. Gut microbiome function and fermentation is associated with functional bloating; however, further investigations are required to draw firm conclusions for the microbial influence in this interplay.ClinicalTrials.gov (Identifier: NCT04802798).

RevDate: 2026-03-17
CmpDate: 2026-03-17

Oganesyan EG, Zhuk AS, Venchakova VV, et al (2026)

Microbiome associated with recurrent vulvovaginal candidiasis: key characteristics and potential therapeutic targets.

Biomeditsinskaia khimiia, 72(1):62-74.

Recurrent vulvovaginal candidiasis (RVVC) is one of the most complex forms of urogenital infection in terms of its clinical burden, impact on quality of life, and difficulty in preventing relapses. The aim of this study was to comprehensively characterize the taxonomic composition and functional potential of the vaginal microbiome associated with RVVC. This case-control study included patients with RVVC and conditionally healthy women. Vaginal samples were analyzed using shotgun metagenomic sequencing, followed by taxonomic and functional annotation of the microbiome using data quality control, taxonomic classification (Kraken2, MetaPhlAn4), and functional annotation (HUMAnN 3.9). At the community structure level, the RVVC microbiome exhibited pronounced interindividual variability and did not represent a uniform microbiota configuration. The taxonomic profile of the microbiome in RVVC was characterized by an increased relative abundance of Lactobacillus iners and anaerobic taxa (Prevotella bivia, Dialister microaerophilus), forming a compact "core" of intergroup differences. Functional analysis revealed a limited but reproducible set of metabolic pathways associated with RVVC; these included pathways of purine metabolism, central carbohydrate metabolism, and biosynthesis of cofactors and cell wall components. RVVC is associated not only with changes in the taxonomic composition of the microbiota but also with a stable reconfiguration of its functional potential. The identified shifts in metabolic pathway patterns reflect a transition of the vaginal microbial community to an alternative functional state, thus highlighting the need to develop new therapeutic strategies alternative to traditional antifungal-based approaches.

RevDate: 2026-03-17

Cruz MC, Ruhal R, Lavin J, et al (2026)

Acinetobacter spp. with lower susceptibility to quaternary ammonium compounds enriched in microbial communities of frequently used sinks.

Applied and environmental microbiology [Epub ahead of print].

Sanitary environments that undergo frequent cleaning and disinfection may harbor microbial communities with potential health risks. While biofilms in healthcare settings are well studied, comparatively less is known about sink-drain microbiomes in public and educational buildings, where hundreds of people may interact with shared sink fixtures. This study characterized the spatial and temporal heterogeneity of sink-drain biofilm microbiomes in academic buildings. We sampled 16 sinks from two buildings (four floors each, with sinks closest and furthest to the bathroom entrance), which are cleaned daily with quaternary ammonium compound (QAC) disinfectants, during periods of low and high student traffic (during and after academic breaks, respectively) across winter, spring, and summer. We observed significant spatial and temporal variations in microbial assemblages. Individual sinks accounted for 43% (PERMANOVA, P < 0.0001) of the variation in microbial communities. Microbiomes in each building were dominated by two genera, which together accounted for 30% of the community composition: Acinetobacter and Enhydrobacter (also classified as Moraxella) in the newer building, and Sphingomonas and Mycobacterium in the older building. Acinetobacter abundance varied seasonally and showed higher relative abundance during periods of high traffic. Metagenomic analysis of selected sinks revealed a high prevalence of qac genes and metagenome-assembled genomes (MAGs) harboring antimicrobial resistance genes (ARGs), including A. parvus. Notably, 34%-53% of qac genes were co-localized on contigs associated with mobile genetic elements. These findings suggest that disinfected sink drains serve as persistent reservoirs of diverse microorganisms and potentially mobile resistance elements.IMPORTANCESink drains are recognized as environmental reservoirs for multidrug-resistant bacteria and have been linked to healthcare-associated outbreaks. In public and educational buildings, these microbiomes are shaped by frequent human activity, making them potential sources of exposure and contributors to the environmental dissemination of antibiotic resistance genes. Quaternary ammonium compound (QAC) disinfectants are widely used on surfaces; however, they can select for resistant taxa and co-select for antibiotic resistance. In this study, despite routine cleaning of sink surfaces with QACs, public restroom sink drains remain colonized by resilient biofilms, posing a potential risk to multiple users. Additionally, factors such as human traffic and seasonal variation may influence drain usage and microbial community composition. Elucidating how seasonal dynamics and human activity shape sink-drain biofilms is essential for understanding their role in the environmental transmission of antimicrobial resistance and informing mitigation strategies in nonclinical settings.

RevDate: 2026-03-17

Ward B, Bindels LB, Balligand J-L, et al (2026)

Association of nasopharyngeal Dolosigranulum pigrum and Corynebacterium species with post-acute sequelae of SARS-CoV-2 in a longitudinal cohort.

Microbiology spectrum [Epub ahead of print].

This longitudinal study investigated the differential composition of the nasopharyngeal microbiome in patients presenting different COVID-19 infectious phenotypes and its evolution during convalescence, with a focus on post-acute sequelae of SARS-CoV-2 (PASC) and its potential microbiome-related mechanisms. Microbiota composition was assessed for a cohort of healthy participants (n = 25), influenza patients (n = 24), and patients with moderate (n = 50) and severe (n = 57) COVID-19. Samples were collected at two time points: during the acute infection phase and at approximately 3-month follow-up. From collected nasopharyngeal swab samples, metagenomics using shotgun sequencing was performed and the microbiota composition was analyzed. Alpha and beta diversity analyses revealed no significant differences in overall community diversity between patient groups across visits. However, differential abundance testing identified specific species, such as Dolosigranulum pigrum and various Corynebacterium species, whose profiles correlated with PASC development. Furthermore, the analysis of microbial co-associations identifies commensal species, including D. pigrum and Corynebacterium species, which are less abundant in patients who develop PASC, consistent with a potential protective role suggested by experimental studies but not proven by our observational data. Antibiotic use was associated with lower levels of key protective taxa, which may increase susceptibility to PASC in case of superinfection. These findings highlight the potential importance of the nasopharyngeal microbiome in acute COVID-19 disease outcomes and suggest that preserving or restoring a balanced respiratory microbiome could mitigate the risk of COVID-19 persistent symptoms and PASC development. Our results may set the stage for future clinical interventions involving probiotics or microbial-derived metabolites to promote respiratory health post-COVID-19.IMPORTANCEThis study highlights the importance of bacteria naturally found in the upper respiratory tract, particularly the nasopharynx (the nasopharyngeal microbiome), in shaping how severely COVID-19 affects patients and whether they experience persistent symptoms, also called long-COVID or post-acute sequelae of SARS-CoV-2 (PASC). By examining microbiome samples from healthy people, influenza patients, and individuals with COVID-19 during acute and convalescent phases, we found that certain commensal bacteria, namely, Dolosigranulum pigrum and Corynebacterium species, were less abundant in individuals who developed long-COVID and more abundant in those who fully recovered. We also observed that antibiotic treatment was associated with lower abundances of these commensal taxa, in turn coinciding with a higher frequency of PASC. These findings suggest that the composition of the nasopharyngeal microbiome is associated with recovery trajectories after COVID-19 and motivate future research into treatments aimed toward the microbiome to improve respiratory health following infection.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT05557539.

RevDate: 2026-03-17
CmpDate: 2026-03-17

Wang X, Chen J, Xia J, et al (2026)

Brain-Targeted RVG-Liposomal Melatonin Ameliorates Manganese Neurotoxicity by Enhancing Neurogenesis and Modulating Systemic Amino Acid Profiles.

Journal of pineal research, 78(2):e70137.

Chronic manganese (Mn) exposure induces severe neurotoxicity, characterized by impaired neurogenesis and disrupted metabolic homeostasis. Although melatonin (MT) possesses established neuroprotective properties, its clinical utility is hindered by poor bioavailability and limited brain delivery. Here, we developed a brain-targeted, rabies virus glycoprotein (RVG)-modified liposomal delivery system encapsulating melatonin (MT@RVG-Lip) to enhance therapeutic efficacy. Multi-omics analyses including brain and intestinal transcriptomics, serum metabolomics, and gut metagenomics were conducted to elucidate the underlying mechanisms. MT@RVG-Lip significantly improved motor deficits and enhanced neurogenesis while reducing neuroinflammation in Mn-exposed mice. Compared with regular MT and CaNa2-EDTA, MT@RVG-Lip more effectively alleviated Mn-disrupted gene expression in neurogenesis regions, particularly genes involved in amino acid metabolism. Additionally, MT@RVG-Lip demonstrated a regulatory effect on serum amino acid profiles and intestinal transporter gene expression. Gut microbiota analysis further revealed that MT@RVG-Lip partially reversed Mn-associated dysbiosis and promoted the improvement of key amino acid-related microbiota-mediated metabolic pathways. The RVG-modified liposomal formulation conferred sustained release and improved brain-targeting capability, prolonging MT bioavailability and enhancing therapeutic outcomes. These findings provide a new mechanistic framework for MT-based interventions in neurodegenerative diseases and highlight the therapeutic potential of multifunctional delivery strategies.

RevDate: 2026-03-17
CmpDate: 2026-03-17

González-Mercado VJ, Jean Lim S, Kumar Singh P, et al (2026)

Dietary Quality and Microbiome Profiles among Rectal Cancer Patients: A Cross-Sectional Pilot Study.

Puerto Rico health sciences journal, 45(1):3-10.

OBJECTIVE: Examining whether gut microbial taxa abundances and predicted functional pathways correlate with dietary quality scores at the end of neoadjuvant chemoradiotherapy (nCRT) for rectal cancer (RC); identifying differentially abundant bacterial species from the pantothenate and acetyl-coenzyme A biosynthesis pathways that differ among dietary quality groups in a subset of participants.

METHODS: RC patients (n = 30) provided stool samples for 16S rRNA gene sequencing. To validate pathway predictions from the 16S rRNA gene data, stool samples from a subset of 17 participants underwent shallow shotgun metagenomics sequencing (SMS). Dietary quality was calculated using the Prime Diet Quality Score (PDQS; 24-hour recall). 16S rRNA gene data were analyzed using QIIME2, and SMS data were analyzed using HUMAnN2.

RESULTS: At the genus level, Parvimonas, Caproiciproducens, and uncultured Eggerthellaceae abundances positively correlated (Spearman's rho = 0.36 to 0.50) with PDQS scores, whereas abundances of Prevotella, Rothia, Peptostreptococcus, Paeniclostridium, Enterococcus, and Howardella correlated negatively (Spearman's rho = -0.43 to 0.36). Predicted pathways, including those related to B-vitamin biosynthesis and enzyme cofactor biosynthesis (e.g., B5/pantothenate [phosphopantothenate biosynthesis I]), were correlated with higher PDQS scores. Mean abundances of species predicted to encode the vitamin B5-CoA pathway were greater in the high- diet-quality group.

CONCLUSION: Findings suggest important associations between the taxa abundances of gut bacteria and the abundances of predicted B-vitamin biosynthesis pathways and dietary quality at the end of nCRT. Three bacterial species encoding vitamin B5-CoA biosynthesis pathways were prominent in high-dietaryquality participants.

RevDate: 2026-03-17
CmpDate: 2026-03-17

Chu T, Wang Q, Hu C, et al (2026)

Microalga-virus-virophage coculture reveals co-infection of multi-virophages with a giant virus.

Archives of virology, 171(4):.

Virophages parasitize the replication of co-infecting giant viruses within eukaryotic cells, forming tripartite cell-virus-virophage (CVv) systems. Tripartite interactions are well-documented in protozoa, yet comparable systems in algae remain largely unexplored at the experimental level. Here, we report an experimentally validated CVv system involving the green, single-celled microalga Chlorella sp. DSL01, Dishui Lake large algal virus 1 (DSLLAV1), and multiple Dishui Lake virophages (DSLVs). Inoculation of Chlorella sp. DSL01 at low MOI established laboratory co-cultures in which time-series PCR detected DSLLAV1 early but not after Day 10, whereas all tested virophages persisted. Metagenomic profiling of the terminal supernatant (end-point sample) indicated a virophage-dominated assemblage with DSLV3 most represented. Droplet digital PCR at discrete time points (Days 5, 10, and 15) then provided absolute counts for DSLLAV1 and DSLV1/3/7, corroborating an early DSLLAV1 peak followed by collapse and/or a delayed rise of multiple virophages coincident with host growth recovery. Nested PCR on the algal pellet detected virophages DSLV1/3/7 but not DSLLAV1. Together, these results demonstrate that Chlorella sp. DSL01 supports co-infection by DSLLAV1 and multiple virophages, establishing an experimentally validated algal CVv system and revealing multi-virophage participation in freshwater algal virus-virophage-host dynamics.

RevDate: 2026-03-17

Xia HL, Liang PY, Yuan WG, et al (2026)

PhaGCN_Cluster: A Scalable and Robust Framework for Automated Classification and Discovery of Viral Dark Matter from Metagenomes.

Interdisciplinary sciences, computational life sciences [Epub ahead of print].

Viruses are the most abundant biological entities on Earth, playing essential roles in shaping microbial communities, driving evolution, and maintaining ecosystem functions. Metagenomic sequencing has unveiled a vast landscape of uncharacterized viral "dark matter", comprising highly divergent sequences that elude traditional taxonomic approaches. Here, we develop PhaGCN_Cluster, a next-generation viral classification tool built upon a graph convolutional neural network (GCN) framework. By integrating protein-level sequence similarity and contig-level genomic features, PhaGCN_Cluster establishes a scalable knowledge graph-based analytical system. The optimized algorithm yields significant gains in computational efficiency, supporting accurate taxonomic assignment of up to 300,000 contigs per run. Compared with existing methods, PhaGCN_Cluster demonstrates superior classification accuracy and F1-scores, particularly under conditions of low sequence similarity, and exhibits strong robustness in detecting evolutionarily distant viruses. Notably, PhaGCN_Cluster incorporates an updated logic for assigning "_like" taxa, which enhances its capacity to accommodate novel viral groups while preserving high precision-though at the cost of a slight reduction in recall. By generating high-fidelity network graphs, PhaGCN_Cluster uncovers previously unrecognized clades and bridges evolutionary gaps between reference viruses and novel sequences, thereby providing critical insights into viral diversity and evolution. PhaGCN_Cluster represents an interpretable, efficient, and scalable solution for automated virus classification. The source code of PhaGCN_Cluster is available via https://github.com/xiahaolong/PhaGCN_Cluster .

RevDate: 2026-03-17
CmpDate: 2026-03-17

Qian C, Jeunen GJ, Han W, et al (2026)

Developing and Evaluating Aquatic Passive Sampling of Environmental DNA for Microbial Community Profiling.

Molecular ecology resources, 26(3):e70121.

Environmental DNA (eDNA) metabarcoding has transformed biodiversity monitoring across taxa from bacteria to mammals, yet sample collection remains a major bottleneck. Passive sampling via adsorption and entrapment has emerged as a promising alternative to overcome the limitations of conventional active filtration. However, the performance of passive sampling for microbial biodiversity monitoring remains unknown. Here, we developed passive sampling-based microbial community profiling by testing five submersion times and three common eDNA extraction methods in mesocosms, and comprehensively evaluated it by comparing results with active filtration in estuarine and coastal environments. We found that passive sampling for 24 h with enzymatic extraction yielded significantly more eDNA and higher biodiversity than shorter durations and mechanical extractions. Passive sampling consistently outperformed active filtration at every field site, with average increases of >100% in eDNA yields and >50% in taxonomic and phylogenetic diversities. Additionally, active filtration and passive sampling yielded significantly different prokaryotic and microeukaryotic community compositions, driven primarily by turnover rather than nestedness (on average 4-fold larger), implying that passive sampling is better suited for spatiotemporal detection than active filtration. Passive sampling showed greater sensitivity in identifying key environmental factors (3 vs. 2) and potential environmental bioindicators (40 vs. 20) compared with active filtration. Overall, this study establishes an efficient and practical passive sampling method for microbial biodiversity monitoring and environmental assessment in aquatic environments.

RevDate: 2026-03-17

Zhu L, Huang C, Tian Y, et al (2026)

Targeted enhancement of ammonia assimilation and microbial community metabolic synergy in chicken manure aerobic composting mediated by tricarboxylic acid cycle modulators.

Waste management (New York, N.Y.), 216:115471 pii:S0956-053X(26)00141-8 [Epub ahead of print].

Reducing nitrogen loss during composting is essential. To investigate the effects of directly modulating the tricarboxylic acid (TCA) cycle on microbial ammonia assimilation during composting, this study employed paired stable isotope labeling combined with metagenomic analysis to assess the role of the TCA cycle regulator citric acid (CA) in enhancing ammonia assimilation efficiency and regulating carbon-nitrogen metabolism within the microbial community. CA markedly reduced NH3 emissions (0.5-2265 ppm) and increased organic nitrogen retention (4.2%-17.7%), primarily through improved ammonia assimilation efficiency (0.06-0.22 mg N·kg[-1]·d[-1]) rather than weakened mineralization. Mechanistically, CA upregulated IDH1 (5.4%-18.5%) and increased IDH enzyme activity (0.35-0.66 IU/g), combined with NH3 uptake, balancing oxoglutarate and ammonium supply. Moreover, CA strengthened the glutamine synthetase-glutamate synthase (GS-GOGAT) pathway (3.4%-23.4%) and enzyme activity (0.08-0.74 IU/g), particularly in the initial and thermophilic phases. In addition, CA induced an upregulation (14.8%-28.4%) of genes encoding succinyl-CoA synthetase, providing sufficient energy to support the ammonia assimilation process. Furthermore, CA enhanced microbial diversity and metabolic cooperation while reducing competition, thereby promoting NH3 assimilation and glutamate synthesis. Inorganic and amino acid metabolism emerged as critical cooperative processes within core microbial populations.

RJR Experience and Expertise

Researcher

Robbins holds BS, MS, and PhD degrees in the life sciences. He served as a tenured faculty member in the Zoology and Biological Science departments at Michigan State University. He is currently exploring the intersection between genomics, microbial ecology, and biodiversity — an area that promises to transform our understanding of the biosphere.

Educator

Robbins has extensive experience in college-level education: At MSU he taught introductory biology, genetics, and population genetics. At JHU, he was an instructor for a special course on biological database design. At FHCRC, he team-taught a graduate-level course on the history of genetics. At Bellevue College he taught medical informatics.

Administrator

Robbins has been involved in science administration at both the federal and the institutional levels. At NSF he was a program officer for database activities in the life sciences, at DOE he was a program officer for information infrastructure in the human genome project. At the Fred Hutchinson Cancer Research Center, he served as a vice president for fifteen years.

Technologist

Robbins has been involved with information technology since writing his first Fortran program as a college student. At NSF he was the first program officer for database activities in the life sciences. At JHU he held an appointment in the CS department and served as director of the informatics core for the Genome Data Base. At the FHCRC he was VP for Information Technology.

Publisher

While still at Michigan State, Robbins started his first publishing venture, founding a small company that addressed the short-run publishing needs of instructors in very large undergraduate classes. For more than 20 years, Robbins has been operating The Electronic Scholarly Publishing Project, a web site dedicated to the digital publishing of critical works in science, especially classical genetics.

Speaker

Robbins is well-known for his speaking abilities and is often called upon to provide keynote or plenary addresses at international meetings. For example, in July, 2012, he gave a well-received keynote address at the Global Biodiversity Informatics Congress, sponsored by GBIF and held in Copenhagen. The slides from that talk can be seen HERE.

Facilitator

Robbins is a skilled meeting facilitator. He prefers a participatory approach, with part of the meeting involving dynamic breakout groups, created by the participants in real time: (1) individuals propose breakout groups; (2) everyone signs up for one (or more) groups; (3) the groups with the most interested parties then meet, with reports from each group presented and discussed in a subsequent plenary session.

Designer

Robbins has been engaged with photography and design since the 1960s, when he worked for a professional photography laboratory. He now prefers digital photography and tools for their precision and reproducibility. He designed his first web site more than 20 years ago and he personally designed and implemented this web site. He engages in graphic design as a hobby.

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Although we can't usually see them, microbes are essential for every part of human life—indeed all life on Earth. The emerging field of metagenomics offers a new way of exploring the microbial world that will transform modern microbiology and lead to practical applications in medicine, agriculture, alternative energy, environmental remediation, and many others areas. Metagenomics allows researchers to look at the genomes of all of the microbes in an environment at once, providing a "meta" view of the whole microbial community and the complex interactions within it. It's a quantum leap beyond traditional research techniques that rely on studying—one at a time—the few microbes that can be grown in the laboratory. At the request of the National Science Foundation, five Institutes of the National Institutes of Health, and the Department of Energy, the National Research Council organized a committee to address the current state of metagenomics and identify obstacles current researchers are facing in order to determine how to best support the field and encourage its success. The New Science of Metagenomics recommends the establishment of a "Global Metagenomics Initiative" comprising a small number of large-scale metagenomics projects as well as many medium- and small-scale projects to advance the technology and develop the standard practices needed to advance the field. The report also addresses database needs, methodological challenges, and the importance of interdisciplinary collaboration in supporting this new field.

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Collection of publications by R J Robbins

Reprints and preprints of publications, slide presentations, instructional materials, and data compilations written or prepared by Robert Robbins. Most papers deal with computational biology, genome informatics, using information technology to support biomedical research, and related matters.

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