Articles tagged with Genome Annotation
The study created a critical framework for understanding the architecture of the genome and its association with gene function in cells. The 4DN Consortium integrated data from over a dozen techniques to compile an extensive catalogue of looping interactions between genes and regulatory elements.
Researchers at Arizona State University introduce powerful tools to analyze microbial family trees and biological data, strengthening microbiome research, disease tracking and environmental monitoring. The new software library scikit-bio provides a foundation for analyzing large biological datasets.
A recent study found thousands of missing transcripts in people from non-European populations, potentially leading to new insights into disease risk and genetic variations. The study highlights a lack of global representation in current gene maps, built largely from European DNA sequences.
Researchers have finally pinned down the genomic, epigenomic, and cellular landscape of the enigmatic arrow worm, connecting its unique genetic markup to specialized cell-types. The study reveals an unprecedented rate of gene genesis and duplication, as well as a unique method of chromosomal organization.
Researchers found that a single synonymous mutation in a gene drives cucumber elongation by altering RNA structure and function. This breakthrough has significant implications for crop breeding programs and may lead to the development of precision-crop improvement techniques.
A new method called Annotatability helps identify mismatches in cell annotations and better characterizes biological data structures. This approach enables more precise downstream analysis of biological signals, capturing cellular communities associated with target signals.
Researchers developed a new tool called SigRM to analyze single-cell epitranscriptomics data, enabling the study of RNA modifications in individual cells. This can provide valuable insights into gene regulation and its impact on health and disease, particularly in complex conditions like cancer.
The new CALANGO software helps untangle genetic factors associated with shared characteristics, such as antibacterial resistance and agricultural improvements. It enables scientists to explore vast amounts of genomic data across thousands of organisms.
A recent study reveals the first high-quality nuclear genome sequence and assembly of Babesia duncani, a neglected species until now. The parasite's evolution and mechanism of virulence have been identified, providing leads for the development of effective therapies.
Researchers at Rice University's Center for Theoretical Biological Physics discovered Aedes aegypti's chromosomes have a unique 'liquid crystal' structure, unlike other species. This finding may provide insights into the functioning of genomes and gene regulation.
Researchers at Boyce Thompson Institute have created the first comprehensive annotation of long intergenic non-coding RNAs (lincRNAs) in four mustard species. The study identifies locations across all four genomes that encoded lincRNAs, proposed functions for them, and confirmed the function of some lincRNAs involved in germination. Th...
Researchers at Rice University have discovered a new insect species, Neuroterus valhalla, alongside its fully sequenced genome. The tiny wasp spends most of the year in a crypt and has unique life cycle habits.
A new workflow combines genome annotation with undergraduate education, providing efficient training for both researchers and students. The framework uses a set of logical steps to begin an undergraduate annotation program, resulting in high-quality genome annotations and valuable skills for future careers.
The DOE JGI's Expert Review system enhances annotation quality in microbial genomes, correcting errors and improving function annotations. Researchers can access the system to review genome annotations and contribute to advancing bioenergy research and biogeochemistry.
LitInspector is a powerful literature and pathway mining system that offers quick and easy retrieval of pathways, genes, gene functions, and gene-gene interactions. The system utilizes cutting-edge text mining technology and leverages the largest gene synonym table available to provide comprehensive results.