Articles tagged with Bioinformatics
BU researcher Avrum Spira recognized for his work on early detection of lung cancer using Percepta RNA biomarker, as well as development of new drugs for chronic obstructive pulmonary disease (COPD). His research has made a direct impact on diagnosis and daily care of patients with lung cancer and COPD in the past 20 years.
Researchers have developed a new tool called ModelFinder to study the evolution of proteins. The program allows for more accurate scientific estimates of evolutionary processes, which will help unravel the mysteries behind life's diversity on Earth.
Researchers applied bioinformatics to develop and evaluate boron-containing compounds for treating cancer and infectious diseases. Computational approaches facilitate pharmacochemical analysis, revealing essential parameters of the boron atom and its effects on biological systems.
Researchers identified molecules as potential biomarkers for early detection of type 2 diabetes, up to nine years before diagnosis. SIB's role in IMIDIA project demonstrates its unique value and capabilities as a competence center in large-scale health-data projects.
Researchers discovered molecular mechanisms of how post-translational protein modifications influence apoptosis, a process of programmed cell death. This process is crucial for maintaining tissue homeostasis and preventing diseases such as Alzheimer's and Parkinson's.
A team of scientists has conducted the largest genome-wide association study on proteomics to date, revealing 539 associations between protein levels and genetic variants in complex diseases. The study found these associations overlap with risk genes for 42 complex conditions, such as cardiovascular disease and Alzheimer's disease.
A new bioinformatics tool called IMP has been developed to increase the transparency and reproducibility of biological experiments. It preserves computer programs in a frozen state, allowing for easy reprocessing and analysis of complex data.
Researchers can now analyze biological signaling pathways with unprecedented accuracy thanks to OmniPath, combining 27 public databases on signalling interactions. The tool provides a comprehensive and unified collection of literature-curated signalling pathways based on an analysis of 41,000 scientific papers.
EDGE brings genomics expertise to everyone with a user-friendly web-based platform that integrates cutting-edge tools and reduces data analysis times from days to minutes. The platform has already helped streamline data analysis for groups worldwide, including those in Thailand, Georgia, Peru, and Egypt.
VirusDetect is a free, open-source bioinformatics pipeline that analyzes small RNA datasets to identify both known and novel viruses. Researchers can predict the presence of RNA viruses, DNA viruses, and viroids using an antiviral defense system called RNA interference (RNAi).
The sequencing of the tobacco hornworm moth's genome has opened new avenues for research, including understanding insect physiology, biochemistry, and molecular biology. The study identified over 600 genes involved in defense against pathogens, highlighting the potential for genetic insights into this important agricultural pest.
Researchers have developed a bioinformatics tool that can analyze 40,000 proteins per minute to predict the effect of cancer-associated mutations. The tool combines protein sequences, functional motifs, and cancer mutations to identify potential targets for studying disease development.
Researchers created a comprehensive metabolic model of C. elegans, linking over 2,000 processes to identify genes contributing to lifespan extension. The 'ElegCyc' model enables analysis of large datasets and will aid in understanding human diseases and microbiome interactions.
A team of scientists at TSRI has created a data-harvesting platform to automatically import and update genetic data from public databases. This allows researchers to focus on their own work instead of manually searching through large datasets.
The Werner Siemens Foundation has donated 11.5 million euros to support the launch of Synthetic Biotechnology at the Technical University of Munich (TUM). This new focus integrates research approaches from biochemistry, bioinformatics, and industrial biotechnology.
A new study suggests that neurons often co-express functionally distinct alternative products from the same gene, facilitating acquisition of complex shapes and functions. Co-expression of alternative variants is essential for proper development of axons and dendrites in mice.
An international research team is developing new molecular treatment methods for asthma and high blood pressure. The goal is to prevent further complications and reduce the risk of subsequent illnesses.
A study published in Genome Biology and Evolution sequenced the genome of Metaseiulus occidentalis, a predatory mite widely used to control plant pests. The research revealed completely atomized Hox genes and superdynamic intron evolution, highlighting the unique biology of this agriculturally important predator.
Researchers created accurate 'maps' of gene networks across 400 human cell types, describing hundreds of thousands of regulatory interactions. This global view provides new insights into disease mechanisms, pinpointing affected genes and tissues in complex diseases.
The new software, SIFT 4G, accelerates genome analysis by preparing predictions at a much higher speed, reducing processing time from 25 days to just three days on a single GPU. This enables researchers to analyze genomes in five minutes, advancing science and developing technology that can benefit human health.
A bioinformatics error affected the results, overestimating the genetic impact. The corrected study reveals extensive Eurasian admixture only in Eastern Africa.
The deer tick's genome provides insights into its ability to transmit diseases like Lyme disease and human granulocytic anaplasmosis. The sequence revealed proteins involved in transmission, saliva composition, and blood digestion mechanisms, offering potential targets for control programs.
Researchers developed a novel, more accurate classification system for gliomas using molecular profiles of 1122 cells. The study identified seven categories for tumor progression assessment, providing a more precise way to predict patient outcomes and treatment responses.
A recent study found that mildly deleterious mutations evolve as neutral during early human migrations out of Africa, while very harmful mutations are found at similar frequencies globally. This suggests a maximum threshold for human tolerance to genetic damage.
The book 'Video Bioinformatics: From Live Imaging to Knowledge' bridges the gap between life sciences and computer science. It provides breakthrough capabilities in understanding continuous life processes through intelligent analysis of live imaging data.
The researchers have developed a new model that allows atomic-level simulations of DNA dynamics, achieving extraordinary accuracy in just 5 years of work. The data is stored in a public website with over 4 Terabytes of information.
The Genome Analysis Centre has achieved a major milestone in wheat research by assembling the genome into larger and more complete chunks. This breakthrough, made possible by improved sequencing technology, will enable researchers to develop new insights into wheat genes and breeding programmes.
Researchers have developed methods to overcome technical limitations in studying the immune system, allowing for investigation of interdependent components and their impact on functions at the systems level. The new book provides valuable insights into team science and the application of computational tools to model immunity.
Researchers developed computational models to study cancer cells' genome structure, improving understanding of genetic changes. The approach uses statistical methods to reconstruct chaotic genomes and identify structural changes in tumour DNA.
Dr. Prerna Dua, associate professor of health informatics and information management at Louisiana Tech University, has been honored with the AHIMA Triumph Award for her research expertise in healthcare and decision support. The award recognizes her dedication to enriching the field of health information management.
Two NIH grants will support Cathy Wu's work on protein ontology and big data analysis to improve understanding of human disease and identify potential diagnostic targets. Researchers will use natural language processing tools to retrieve targeted therapy information from scientific literature and clinical trials.
A group of scientists from seven international laboratories failed to replicate the STAP study, which claimed to turn ordinary cells into pluripotent stem cells. Computational analysis revealed significant genomic inconsistencies, including different genders and mixtures of embryonic and placental stem cells in some experiments.
The UK10K project analyzed nearly 10,000 individuals to understand the contribution of rare genetic variants to various diseases. The study identified new genetic variants and genes underlying disease risk, increasing the resolution of genetic discoveries.
An international team of researchers identified key opportunities in nutrition science to close a major gap between available and projected food by 2050. The researchers proposed eight axes of research, including sustainability, food safety, and big data analysis, to improve nutrition as a science.
A new project aims to characterise the genetic diversity of traditional Vietnamese rice varieties using genomic markers for disease resistance and salt tolerance. Bioinformatics capacity will be built in Vietnam through training workshops and data sharing.
A new bioinformatics approach has been developed to identify associations between molecules from vast data sources, resulting in more accurate results than current methods. This technique improves the detection of genes related to lipid metabolism by 15% on a mouse nutritional study.
Researchers at the University of Michigan have identified the genetic blueprint of a bacteria that produces ET-743, a compound extracted from a marine invertebrate. This discovery expands understanding of the microbe and could lead to lab-grown production of the cancer-fighting drug.
A UK-China consortium, funded by the BBSRC, will host training workshops to support scientists in managing and sharing their metabolomics data and analyses. The partnership, involving EMBL-EBI, universities, and GigaScience, aims to improve data sharing in metabolomics, promoting better quality data and efficient research.
A high demand for bioinformatics training is driven by the increasing use of big data in life sciences. The Global Organisation for Bioinformatics Learning, Education & Training (GOBLET) aims to develop a global community-centred training portal with comprehensive resources and courses.
A novel online tool, PolyMarker, has been developed to automate primer design for multiple genome species, significantly reducing turnaround time. This innovation enables the identification of genetic markers associated with desirable traits in crops, such as high yield or disease resistance.
The Aquaria project has created a powerful web resource that simplifies the process of gleaning insight from 3D protein structures. The tool offers around 46 million computer models, allowing users to view additional information such as genetic differences mapped onto 3D structures.
A landmark study published by an international team of over 100 researchers reconstructs the insect tree of life, answering longstanding questions about their origins and evolution. The study reveals that insects originated at the same time as early terrestrial plants and developed wings 400 million years ago.
The University of California, Los Angeles (UCLA) will develop new strategies for mining and understanding complex biomedical data sets. The center's findings will help shape guidelines for future data integration and use.
The new Competence Center for High Performance Computing in the Natural Sciences will facilitate interdisciplinary collaborations and provide improved HPC services. The center will focus on research and application optimization, with a strong emphasis on Big Data and hardware accelerators.
The special issue of Applications in Plant Sciences explores bioinformatic methods to analyze plant morphology. Researchers successfully applied automated classification and identification techniques, geometric morphometrics, and skeleton networks to examine plant form.
Researchers at A*STAR's Institute of Medical Biology have identified a biomarker, Lgr5, to detect ovarian cancer earlier. Bioinformatics analysis has also revealed genes whose mutation status can be used for prognosis and development of personalized treatment.
Researchers discovered a significant difference in the contents and distribution of mobile DNA elements between fruit fly populations on opposite sides of Evolution Canyon. The study found that these repetitive sequences are increasingly recognized as agents of adaptive change, influencing stress resistance and mating.
Researchers identified distinct genetic underpinnings for different manifestations of preeclampsia, including early vs. late timing and high severity levels. The study found unique sets of genes involved from both mother and fetus, suggesting specific biological contributions to the condition.
Researchers at Virginia Tech and MIT have developed a computer-aided design tool called GenoCAD to create genetic languages for designing biological systems. The tool helps capture biological rules to engineer organisms that produce useful products or healthcare solutions from inexpensive materials. GenoCAD enables the standardization ...
A team of scientists from Harvard University and Virginia Tech has established a reliable set of human genotypes to benchmark human genome sequencing. This will help researchers gain traction against human disease by refining genomic data. The findings are available online, enabling real-time benchmarking of DNA-sequencing methods.
Researchers have developed software that can learn from a patient's normal and seizure electrical activity to predict when another seizure may occur. This allows for an early warning system, potentially enabling people with epilepsy to live safer lives by avoiding hazardous situations before a seizure begins.
Professor Speed has developed tools to help biologists analyze and explain their results, making it possible to look at hundreds of genes in a DNA sequence at once to understand genetic changes involved in complicated diseases. He is also working on determining the genetic traits that make normal and cancerous cells different.
Researchers investigate protein diversity, finding that many small changes have no impact, but some can significantly affect functionality. The study suggests that the wide functional spectrum of proteins plays a key role in evolution, and may hold the key to personalized medicine.
A new bioinformatics software tool, DrGaP, has been developed to identify genetic mutations responsible for cancers. The tool combines statistical methods and bioinformatics tools to distinguish between driver mutations and passenger mutations, leading to a more complete identification of altered genes and signaling pathways in cancer.
The $11 million investment will support large-scale applied and small-scale innovative projects to develop new tools and methodologies. These innovations aim to improve cancer treatments, response to infectious disease outbreaks, food production, and more.
Researchers analyzed over 858,717 grant and contract summaries to identify potential instances of duplicate funding. They found strong evidence that tens of millions of dollars may have been spent on grants where at least a portion was already being funded.
The FASEB MARC Program has awarded $3,700 to two students and their faculty mentors at the ISCB Rocky 2012 meeting. The program aims to increase diversity in biomedical research by promoting participation of underrepresented minority students and scientists.
A new $2 million grant will support a pan-continental bioinformatics research network in Africa. The H3ABioNet project aims to aggregate and analyze large datasets, establish collaborations among preexisting centers, and train African students and scientists in bioinformatics.
A new approach combines pupillography with blinking assessment to measure alertness, sidestepping subjective assessment by healthcare workers. The method has been successfully tested on two groups of volunteers and links blink, pupillary indices and subjective sleepiness.
The National Science Foundation has awarded funding to the Gramene project for a 5-year period, supporting the development of a Plant Reactome. This will increase the functionality of Gramene, which already provides valuable comparisons across and within sequenced plant genomes.