Children: Bioinformatics
The Actino-ugpB RNA motif is a type of RNA sequence that has been identified in certain bacteria, particularly within the phylum Actinobacteria. It is a conserved structural element that is thought to play a role in the regulation of gene expression. Typically, RNA motifs like Actino-ugpB can function as riboswitches or regulatory elements that respond to specific metabolites or environmental conditions to modulate the activity of nearby genes.
Algae DNA barcoding is a molecular technology used to identify and classify algal species based on short, standardized sequences of genetic material, typically from specific regions of their DNA.
Align-m is a tool or framework designed for aligning machine learning models with specific tasks or goals. It could involve tasks such as improving the performance, interpretability, or robustness of these models. The precise functionality and applications of Align-m might vary based on the context in which it's used, such as whether it's in the realm of natural language processing, computer vision, or other areas of artificial intelligence.
Alignment-free sequence analysis is a computational approach used in bioinformatics to compare biological sequences, such as DNA, RNA, or proteins, without the need to align them in a traditional sense. In conventional sequence alignment (like global or local alignment), sequences are arranged to identify regions of similarity, which can be computationally intensive and may be biased by gaps and mismatches.
Automated species identification is a technological approach that utilizes various methods and tools to quickly and accurately identify different species of organisms—such as plants, animals, fungi, and microbes—without the need for manual classification by experts. This process often incorporates various technologies, including: 1. **Image Recognition**: Machine learning algorithms and computer vision techniques analyze images of specimens, comparing them to large databases of known species to determine an appropriate match.
The BED file format (Browser Extensible Data) is a text-based file format used primarily to store information about genomic regions. It is widely utilized in bioinformatics, particularly in the analysis and visualization of genomic data. Here are some key features and characteristics of the BED file format: 1. **Basic Structure**: BED files are typically tab-delimited and consist of at least three required fields: - **Chromosome**: The name of the chromosome or contig (e.g.
BIOSCI, which stands for Biological Sciences Electronic Communication Network, was an online discussion platform and a mailing list that facilitated communication among professionals in the biological sciences. It was a place for researchers, educators, and practitioners to share information, ask questions, and discuss various topics related to biology and life sciences.
A Backbone-dependent rotamer library is a collection of pre-computed side-chain conformations (rotamers) for amino acids that take into account the influence of the protein backbone on the orientation and flexibility of the side chains. In protein structures, the side-chain conformation of amino acids can be significantly affected by their environment, particularly by the dihedral angles of the backbone.
The Basel Computational Biology Conference is a scientific conference that focuses on advancements and developments in computational biology, a field that combines elements of biology, computer science, mathematics, and engineering. The conference typically brings together researchers, practitioners, and students to discuss topics such as bioinformatics, systems biology, computational genomics, and related areas. Participants often present their latest research findings, engage in discussions, and attend workshops and keynote lectures from leading experts in the field.
The Benjamin Franklin Award in Bioinformatics is an honor presented by the International Society for Computational Biology (ISCB). Established to recognize outstanding contributions in the field of bioinformatics, the award is named after Benjamin Franklin, the American polymath known for his contributions to science, among other fields. This award is typically given to individuals who have made significant advancements in bioinformatics research, which encompasses the development and application of computational tools to understand biological data.
Biclustering, also known as co-clustering or simultaneous clustering, is a data analysis technique that seeks to uncover patterns in data sets where both rows and columns are clustered simultaneously. Unlike traditional clustering methods, which typically group either rows (observations) or columns (features) independently, biclustering allows for the identification of subsets of data that exhibit similar characteristics across both dimensions.
Binning in metagenomics refers to the process of grouping or categorizing DNA sequences obtained from metagenomic studies into distinct bins that correspond to specific genomes or taxonomic groups. This is important because metagenomic data often come from environmental samples, where multiple microorganisms coexist, making it challenging to analyze the genetic material as a cohesive unit.
BioCreative is an international community and series of scientific challenges focused on the intersection of biology and computer science, particularly in the fields of text mining and biomedical data analysis. The main goal of BioCreative is to encourage the development of algorithms, tools, and methodologies for extracting valuable information from biological literature and other biological data sources.
BioMOBY (Bio Molecular Open Worlds Wide) is a framework designed for the integration and sharing of biological data and services over the internet. It aims to facilitate the discovery and retrieval of biological data from various sources by providing a standardized protocol for communication between different data providers, tools, and services in the life sciences domain.
BioPAX (Biological Pathway Exchange) is a standard format designed for the exchange, sharing, and representation of biological pathway information. It aims to enable interoperability among software and databases that manage biological data related to molecular interactions, cellular processes, and metabolic pathways. BioPAX provides a standardized vocabulary and structure for depicting biological entities—such as genes, proteins, and small molecules—and their interactions or relationships within biological pathways.
BioSimGrid is a bioinformatics infrastructure that focuses on providing a platform for the storage, sharing, and analysis of biological simulation data. It facilitates the management of large datasets generated from various biological simulations, including molecular dynamics simulations and other computational biology applications. Key features of BioSimGrid may include: 1. **Data Storage**: It offers a structured way to store simulation data, making it easy for researchers to access and retrieve large datasets.
Bioimage informatics is an interdisciplinary field that combines biology, computer science, and imaging technologies to analyze and interpret biological images. This area of research focuses on developing algorithms, software, and analytical methods to process and extract meaningful information from images captured in various biological contexts, such as microscopy, medical imaging, and even satellite imagery of ecosystems.
The Bioinformatics Institute (BII) is a research institute located in Singapore that focuses on bioinformatics and computational biology. It is part of the Agency for Science, Technology and Research (A*STAR), which is a major research and development organization in Singapore. Established in 2001, the BII's mission is to leverage computational methods and biological data to address scientific questions in biology and medicine.
The Bioinformatics Open Source Conference (BOSC) is an event focused on the open-source aspects of bioinformatics, emphasizing collaboration, sharing of tools, and methodologies within the bioinformatics community. It typically features presentations, workshops, and discussions on a variety of topics related to bioinformatics software, data analysis, and computational biology.
Bioinformatics discovery of non-coding RNAs (ncRNAs) refers to the computational methods and tools used to identify and characterize RNA molecules that do not code for proteins but have important biological functions. Non-coding RNAs include a diverse group of RNA types such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), small interfering RNAs (siRNAs), and ribosomal RNAs (rRNAs), among others.