Articles tagged with Bioinformatics
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Researchers from Osaka University used machine learning to assess the shapes, sizes, and other physical features of bacteria based on microscope images. The results showed that antibiotic-resistant strains were fatter or shorter than their parental strains, especially those resistant to quinolone and β-lactams.
A research team at Hiroshima University developed an analytical pipeline to identify unexploited genes associated with Parkinson's disease and oxidative stress. The study revealed two novel candidate genes, NUPR1 and UHRF2, which were absent from current gene-disease associations databases.
A Mayo Clinic team developed a computational tool that analyzes the gut microbiome with at least 80% accuracy. The Gut Microbiome Wellness Index 2 identifies subtle changes in gut health, enabling proactive health indicators and potential prevention of chronic diseases.
Researchers at EPFL developed a next-generation miniaturized brain-machine interface capable of direct brain-to-text communication on tiny silicon chips. The MiBMI system can decode neural signals generated when a person imagines writing letters or words with high accuracy and low power consumption.
Fossil discovery of microbial eukaryotes from 750 million years ago provides new insights into the evolution of early life and ecosystems. Researchers can now better understand the history of testate amoebae, which are some of the earliest confirmed heterotrophic eukaryotes.
Researchers found distinct molecular responses in skeletal muscle following bariatric surgery between obese individuals and those with additional T2D. Obesity individuals showed improvements in metabolic health, while T2D participants had limited changes.
Researchers at Cranfield University have developed two new methods to authenticate UK honey: one using Spatial Offset Raman Spectroscopy (SORS) and the other employing DNA barcoding. The SORS method detects sugar syrups with high accuracy, while DNA barcoding identifies syrups even at low adulteration levels.
Scientists have developed a new technique called Boba-seq to study gene function in microbes, allowing for rapid identification of gene traits and properties. The approach enables the analysis of hundreds of thousands of genetic variants simultaneously, providing insights into microbial genomes.
Researchers at Hiroshima University have identified genetic signatures of domestication in pigs and chickens, revealing changes in gene expression related to immune response, stress response, and energy metabolism. These findings provide insights into the genetic basis of domestication and highlight potential candidate genes for breedi...
Researchers developed a new method to map gene expression changes in sebocytes, providing insights into sebum production and its role in skin health. The study identifies key players in sebum production and suggests new ways to modulate it, with potential implications for acne, eczema, psoriasis, and infectious diseases.
Researchers found that the recent SARS-CoV-2 variants BA.2.86 and JN.1 have only minor changes in immune evasion compared to their predecessor Omicron, contradicting initial public health concerns.
The study provides a detailed analysis of high-grade glioma molecular characteristics, revealing shifts in gene expression and tumour microenvironment. Longitudinal samples revealed unique opportunities to observe tumour evolution, shedding light on genetic and epigenetic events associated with recurrent disease.
Researchers have identified microproteins exclusive to liver tumors that can stimulate the immune system against cancer cells. These small molecules, generated from previously non-coding genes, could be used to develop new treatments, including vaccines that stop or reduce tumor growth.
The NTU team created a compact and flexible light-based sensing device, like a plaster, to provide highly accurate biomarker readings within minutes. The device detects glucose, lactate, and urea levels in sweat with ultra-high sensitivity and dynamic range.
A recent study proposes a multi-dimensional approach to map disease relationships using genomic, chemical, and clinical data. The research reveals significant distinctions from the classical International Classification of Diseases system and highlights potential links between previously separate conditions.
A team of UConn researchers, without lab experience, published the first chromosome-level genome of a desert hairy scorpion. The study sheds light on arachnid evolution and advances comparative genomics research.
Researchers challenge single-origin theory of root nodule symbiosis, identifying multiple origins and ideal experimental systems to better understand symbiotic relationships. The findings suggest a lesser role for shared genetic machinery in genetically engineering crop plants to work with nitrogen-fixing bacteria.
Researchers found that zebrafish synchronize movements by taking turns to move and responding to neighbors' timing, a two-way process known as reciprocity. Virtual reality experiments confirmed the principle, enabling the recreation of natural schooling behavior in fish and virtual conspecifics.
The DIProT toolkit leverages a non-autoregressive deep generative model to tackle the protein inverse folding problem. It allows users to specify target structures and preserve fixed sequences, improving protein design efficiency through a virtual design loop.
A study utilizing RNA-Seq and single-cell RNA-Seq data identified key transposable elements (TEs) linked to myocarditis. These findings reveal a significant role for TEs in modulating immune responses, providing new insights into cardiomyopathy's pathogenesis.
Researchers have generated complete genome data for four filamentous 'star algae' species, revealing overabundances of signalling genes and environmental response factors that underpin molecular mechanisms shaping plant bodies. The findings provide insights into the origins of land plants and their ability to adapt to environments.
A mysterious plasmid, pBI143, found in 90% of human intestines, could be used to identify faecal contamination and offer insights into intestinal diseases. The discovery also highlights the prevalence of 'cryptic' plasmids in human gut microbiota.
Researchers at Hiroshima University identified 14 genes that are up-regulated and eight genes that are down-regulated when responding to five specific abiotic stresses, including drought, salinity, and cold. These findings provide new insights into the molecular mechanisms underlying plant responses to environmental stressors.
Researchers identified a small set of proteins governing anaplastic large cell lymphoma (ALCL) identity and found that drugs targeting the STAT family of proteins already exist for treatment. The study provides insight into potential vulnerabilities in ALCL cells.
A team of scientists discovered new fusion sites in protein evolution that enable faster and more targeted drug development. By combining evolutionary processes with synthetic biology, they created customized biological drugs with improved therapeutic properties.
A competition among researchers predicted B. pertussis vaccine responses based on a simple correlation between calendar age and antibody responses. The result highlights the need for further research to understand variability in vaccination outcomes.
A new study confirms that giraffes have extensive gene flow among their lineages, indicating a 'reticulated' network of evolutionary history. This challenges the traditional view that high genetic differentiation is a sure sign of speciation.
A study published in Environmental DNA analyzed seawater samples from the Ogasawara Islands, detecting 124 unique fish species and 38 coral genera. The research highlights the importance of monitoring biodiversity in remote regions using efficient methods like eDNA sequencing.
Researchers have published novel spatial omics algorithms and tools in GigaScience and GigaByte journals to analyze biological data-based spatial information. These new methods enable the discovery of spatial domains, improvement of data quality, and better clustering of cells.
A recent study from Argonne National Laboratory has uncovered new insights into the relationship between genetic ancestry and prostate cancer risk. The research, which included large increases in representation among men of African, Hispanic, and Asian ancestries, found 187 new genetic markers that provide more accuracy in calculating ...
Researchers discovered that reducing cholesterol levels in mice with advanced atherosclerosis leads to a decrease in the number of smooth muscle-derived cells causing plaque growth, while preserving stabilizing cell types. This finding opens up new opportunities for targeted therapies.
A team of scientists has developed a computational model to predict properties of intrinsically disordered proteins, enabling the study of all 28,000 human disordered proteins. This breakthrough provides new insights into their roles in disease and biological functions.
Researchers found XRCC1 to have both positive and negative correlations with prognosis across different tumors. The study also revealed associations between XRCC1 expression and DNA methylation patterns, TMB, MSI, immune cell infiltration levels, and immune checkpoint gene expression.
Researchers at USC Stem Cell lab discovered nearly 40 genes associated with immune cell production, including those related to diseases like myelodysplastic syndrome. The study found that gene activity was linked to specific levels of immune cell production, offering insights for improving bone marrow transplantation strategies.
Researchers identified hundreds of genes subject to recent selection in six Candida species, providing valuable knowledge for developing better treatments. The study also found a potential spread of resistance through mating between susceptible and resistant strains.
A combination of 11 proteins can predict long-term disability outcomes in multiple sclerosis, making it possible to tailor treatments to individual patients. The study identified a specific protein, neurofilament light chain, as a reliable biomarker for disease activity.
The study reveals that hepatoblasts along the portal vein receive Notch signaling and differentiate into bile duct epithelial cells. Hematopoietic cells fail to transmit signals, resulting in the failure of differentiation. This discovery provides molecular biological support for mathematical analysis results.
Researchers at IRB Barcelona developed BioExcel-CV19, a repository of Molecular Dynamics simulations to understand SARS-CoV-2 infection. The database provides over 10,000 trajectories for key proteins and facilitates community-wide analysis.
Researchers developed a pipeline to evaluate the risk of infections by aquatic animals. The study found no evidence of human-associated viruses in aquatic animal transcriptomes, confirming their safety as protein sources. However, proper handling and storage are crucial to controlling SARS-CoV-2 spread through cold-chain food.
A new algorithm, SIMSEF, significantly speeds up and simplifies the identification of chemicals in tissues, enabling researchers to confidently recognize and visualize their distribution in organs. This development has great implications for medical diagnosis and treatment outcomes.
Researchers at La Jolla Institute for Immunology found that most T cells can still target epitopes on the new Pirola variant, suggesting people may be able to mount a response against it. The study's findings provide positive news in the fight against SARS-CoV-2, emphasizing the importance of vaccination with updated vaccines.
A team of researchers successfully synthesized a 1.5-million-year-old antibiotic called paleomycin, which displays potent properties against human pathogens. By tracing the evolutionary path of glycopeptide antibiotics, the team gained insights into the development of new drugs and uncovered a common precursor molecule.
Researchers examined venom genes in bees and other hymenopteran taxa using comparative genomics. They found that 12 'families' of peptides and proteins were present in all analyzed hymenopterans, indicating a common ancestor possessed these genes. This suggests that Hymenoptera insects are venomous as an entire group.
Researchers at La Jolla Institute for Immunology and Massachusetts General Hospital mapped the genome to understand how IKAROS controls healthy B cell development. They found that IKAROS solves a big problem in B cell development by bringing together far-away genes through looping, leading to proper expression and antibody production.
This special collection in SLAS Discovery highlights the significant impact of high-content imaging in basic and translational research. Researchers have made advancements in cell painting and phenotypic profiling, offering new therapeutic approaches for diseases such as Gaucher's.
Regenstrief researchers and experts will address key issues in medical informatics at the 2023 AMIA Annual Symposium. The event features a wide range of scientific sessions on topics such as translational bioinformatics, clinical research informatics, and public health informatics.
The A3D-MOBD is a comprehensive database for studying protein aggregation in twelve model organisms. It contains over half a million predictions of protein regions prone to forming aggregates, providing insights into the basis of this phenomenon.
Researchers observed a satellite bacteriophage consistently attaching to a helper bacteriophage at its neck, revealing a new viral relationship. The discovery suggests that this system may be more common than previously thought and could have significant implications for understanding the evolution of viruses.
Novel vaccine candidates using Computationally Optimized Broadly Reactive Antigens (COBRAs) protect against multiple influenza B strains, including those from different lineages. These vaccines show long-lasting protection, potentially reducing the need for yearly updates.
The Cumming Global Centre for Pandemic Therapeutics is offering global grants of up to $200,000 per annum for three years to develop novel therapeutics for pathogens of pandemic potential. Researchers are invited to submit expressions of interest for Round Two of the Foundation Grants program.
Researchers developed the DANGER analysis tool to overcome challenges in CRISPR gene editing. The tool assesses on- and off-target effects without a reference genome, quantifying phenotypic risk at the gene ontology level. This breakthrough enables safer strategies for genome editing in various organisms.
The study reveals that approximately half of examined transcription factors possess distinct binding sequences for specific cell types. MOCCS profiles also predict the effect of single nucleotide polymorphisms on DNA binding of transcription factors.
OmicsSuite is a desktop suite that integrates statistics and multi-omics analysis and visualization, enabling users to analyze large volumes of biological data in multiple formats. The suite provides step-by-step workflows for horticultural plant breeding and molecular mechanism studies.
Researchers at UMC Utrecht developed a deep-learning algorithm that can identify brain tumor types within 20-40 minutes, allowing neurosurgeons to adjust surgical strategies on the spot. This technology has shown promising results and is already being used in clinical practice.
Researchers used AI to predict 3D shapes of over 215 million proteins, providing insights into their functions and evolution. The Protein Universe Atlas offers a valuable resource for scientists to explore protein diversity.
The African BioGenome Project's Open Institute hosts widely-attended workshops across Africa, fostering grassroots knowledge exchange and developing biodiversity genomics and bioinformatics curricula. Over 700 participants learned about cutting-edge technologies shaping the biodiversity and genomics field.
The WVU team evaluated Code Interpreter's features, finding it accessible to students but limited for scientists working with biological data. The plugin breaks down barriers for coding, but lacks internet access and parallel processing capabilities.
Researchers used AI to predict Z-DNA fragment locations that overlap with known mutations causing severe hereditary diseases. These fragments can influence traits and body processes, including hair color, height, weight, and cholesterol levels.
Amarda Shehu is leading a collaborative research project at George Mason University, using deep learning and experimentation to generate controlled properties in molecules. The project aims to address challenges in molecular biology, including resistant bacteria, with potential applications in antimicrobial compounds.
Researchers used a mathematical theory called the free energy principle to predict how real neural networks learn and organize themselves. The study successfully mimicked this process in rat embryo neurons grown in a culture dish, demonstrating the principle's guiding force behind biological neural network learning.