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Found 109 result(s)
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PLMD (Protein Lysine Modifications Database) is an online data resource specifically designed for protein lysine modifications (PLMs). The PLMD 3.0 database was extended and adapted from CPLA 1.0 (Compendium of Protein Lysine Acetylation) database and CPLM 2.0 (Compendium of Protein Lysine Modifications) database
Ag Data Commons provides access to a wide variety of open data relevant to agricultural research. We are a centralized repository for data already on the web, as well as for new data being published for the first time. While compliance with the U.S. Federal public access and open data directives is important, we aim to surpass them. Our goal is to foster innovative data re-use, integration, and visualization to support bigger, better science and policy.
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The National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB), advances life & health sciences by providing open access to a suite of resources, with the aim to translate big data into big discoveries and support worldwide activities in both academia and industry.
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The National Human Disease Animal Model Resource Bank is supported by the Institute of Medical Laboratory Animals, Chinese Academy of Medical Sciences. The institute is a professional institute engaged in the scientific research and teaching of experimental zoology and comparative medicine. The research unit is the undertaking unit of the national-level laboratory animal technology resource bank for infectious diseases and new drug creation research. In 2015, it established the Key Laboratory of Animal Model Research for Infectious Diseases, the Beijing Engineering Technology Research Center for Laboratory Animal Models of Human Diseases, and established the Human Disease Animal Model Resource Center of the Chinese Academy of Medical Sciences in 2015. The institute has passed CNAS measurement certification, national laboratory accreditation and international AAALAC certification.
The Barcode of Life Data Systems (BOLD) provides DNA barcode data. BOLD's online workbench supports data validation, annotation, and publication for specimen, distributional, and molecular data. The platform consists of four main modules: a data portal, a database of barcode clusters, an educational portal, and a data collection workbench. BOLD is the go-to site for DNA-based identification. As the central informatics platform for DNA barcoding, BOLD plays a crucial role in assimilating and organizing data gathered by the international barcode research community. Two iBOL (International Barcode of Life) Working Groups are supporting the ongoing development of BOLD.
Online Mendelian Inheritance in Animals (OMIA) is a catalogue/compendium of inherited disorders, other (single-locus) traits, and genes in 218 animal species (other than human and mouse and rats, which have their own resources) authored by Professor Frank Nicholas of the University of Sydney, Australia, with help from many people over the years. OMIA information is stored in a database that contains textual information and references, as well as links to relevant PubMed and Gene records at the NCBI, and to OMIM and Ensembl.
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iDog, an integrated resource for domestic dog (Canis lupus familiaris) and wild canids, provides the worldwide dog research community a variety of data services. This includes Genes, Genomes, SNPs, Breed/Disease Traits, Gene Expressions, Single Cell, Dog-Human Homolog Diseases and Literatures. In addition, iDog provides Online tools for performing genomic data visualization and analyses.
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The Pig Expression Data Explorer (PEDE) database system stores full-length cDNA libraries of swine data accesible via keyword and ID searches. Data is publically available, and may specifically interest genetic researchers interested in disease sucsceptibly, and major and minor porcine specific antigens.
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During cell cycle, numerous proteins temporally and spatially localized in distinct sub-cellular regions including centrosome (spindle pole in budding yeast), kinetochore/centromere, cleavage furrow/midbody (related or homolog structures in plants and budding yeast called as phragmoplast and bud neck, respectively), telomere and spindle spatially and temporally. These sub-cellular regions play important roles in various biological processes. In this work, we have collected all proteins identified to be localized on kinetochore, centrosome, midbody, telomere and spindle from two fungi (S. cerevisiae and S. pombe) and five animals, including C. elegans, D. melanogaster, X. laevis, M. musculus and H. sapiens based on the rationale of "Seeing is believing" (Bloom K et al., 2005). Through ortholog searches, the proteins potentially localized at these sub-cellular regions were detected in 144 eukaryotes. Then the integrated and searchable database MiCroKiTS - Midbody, Centrosome, Kinetochore, Telomere and Spindle has been established.
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The species Nothobranchius furzeri possesses several characteristics which make it a particularly attractive model system for age research: Inbred line GRZ shows a captive lifespan of only three months. There is large variation in life-history traits between different isolates. Lifespan can be prolonged by environmental manipulations and drugs. The aim of this website is to provide information on N. furzeri and to foster the development of a group of interest which aims at creating a consortium to establish this organism as a model for developmental and age research.
The NCBI Nucleotide database collects sequences from such sources as GenBank, RefSeq, TPA, and PDB. Sequences collected relate to genome, gene, and transcript sequence data, and provide a foundation for research related to the biomedical field.
AgBase is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products. Our long-term goal is to serve the needs of the agricultural research communities by facilitating post-genome biology for agriculture researchers and for those researchers primarily using agricultural species as biomedical models.
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Bioresources, often referred to as biological resources, are essential experimental research materials for life science and bioindustry. Under the three principles of “Trust”, “Sustainability” and “Leadership”, RIKEN BRC is committed to receiving deposition/donation of bioresources from the research community, confirming the authenticity of bioresources by rigorous quality examination, preserving, and distributing them back to the research community. f you wish to search quickly or to search multiple bioresources (mouse, cell, plant, microorganism, gene) simultaneously, we recommend to search from the Top Page. At the Top page, bioresource search and Google-based site search are available.
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GSA is a data repository specialized for archiving raw sequence reads. It supports data generated from a variety of sequencing platforms ranging from Sanger sequencing machines to single-cell sequencing machines and provides data storing and sharing services free of charge for worldwide scientific communities. In addition to raw sequencing data, GSA also accommodates secondary analyzed files in acceptable formats (like BAM, VCF). Its user-friendly web interfaces simplify data entry and submitted data are roughly organized as two parts, viz., Metadata and File, where the former can be further assorted into BioProject, BioSample, Experiment and Run, and the latter contains raw sequence reads.
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!!! <<< Genome data generated by BC Genome Sciences Centre is no longer available through this site as it is regularly deposited into controlled data repositories such as the European Genome Phenome Archive (EGA); ICGC (International Cancer Genome Consortium) and the Genome Data Commons (GDC) <<< !!! Using serial analysis of gene expression (SAGE) and microarrays, we are examining total mRNA populations in all developmental stages, both in whole worms and in specific cells and tissues. In addition, we are building promoter::GFP constructs to monitor gene expression in transgenic worms, focusing on C. elegans genes that have human orthologues. Also available are web-based PCR primer design tools, and access to information about our C. elegans Fosmid library.
The Entrez Protein Clusters database contains annotation information, publications, structures and analysis tools for related protein sequences encoded by complete genomes. The data available in the Protein Clusters Database is generated from prokaryotic genomic studies and is intended to assist researchers studying micro-organism evolution as well as other biological sciences. Available genomes include plants and viruses as well as organelles and microbial genomes.
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National freshwater aquatic germplasm repository, competent department: Ministry of Agriculture and Rural Affairs, relying unit: China Academy of Fisheries Science. By the Heilongjiang Fisheries Research Institute, Yangtze River Fisheries Research Institute, Freshwater Fisheries Research Center, Pearl River Fisheries Research Institute, Fisheries Machinery and Instruments Research Institute and Shanghai Ocean University 6 units. Relying on the unit's outstanding ability to informatization of resources, the establishment of an advanced system, functional, stable operation, high visibility in the field of portal, can carry out deep mining and digital processing of freshwater aquatic germplasm resources information. The co-construction unit has relatively complete functional laboratory, preservation library and base facilities, with the hardware conditions to provide knowledge-based and professional services of freshwater aquatic germplasm resources. The participants have many years of experience in the collection and integration of freshwater aquatic germplasm resources, with solid professional background and outstanding business ability, which can improve the depth and breadth of integration and utilization of freshwater aquatic germplasm resources.
The figshare service for the University of Sheffield allows researchers to store, share and publish research data. It helps the research data to be accessible by storing Metadata alongside datasets. Additionally, every uploaded item receives a Digital Object identifier (DOI), which allows the data to be citable and sustainable. If there are any ethical or copyright concerns about publishing a certain dataset, it is possible to publish the metadata associated with the dataset to help discoverability while sharing the data itself via a private channel through manual approval.
>>>!!!<<< As stated 2017-05-16 The BIRN project was finished a few years ago. The web portal is no longer live.>>>!!!<<< BIRN is a national initiative to advance biomedical research through data sharing and online collaboration. It supports multi-site, and/or multi-institutional, teams by enabling researchers to share significant quantities of data across geographic distance and/or incompatible computing systems. BIRN offers a library of data-sharing software tools specific to biomedical research, best practice references, expert advice and other resources.
GigaDB primarily serves as a repository to host data and tools associated with articles published by GigaScience Press; GigaScience and GigaByte (both are online, open-access journals). GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support a unit-of-work (article or study). GigaDB allows the integration of manuscript publication with supporting data and tools.
GeneLab is an interactive, open-access resource where scientists can upload, download, store, search, share, transfer, and analyze omics data from spaceflight and corresponding analogue experiments. Users can explore GeneLab datasets in the Data Repository, analyze data using the Analysis Platform, and create collaborative projects using the Collaborative Workspace. GeneLab promises to facilitate and improve information sharing, foster innovation, and increase the pace of scientific discovery from extremely rare and valuable space biology experiments. Discoveries made using GeneLab have begun and will continue to deepen our understanding of biology, advance the field of genomics, and help to discover cures for diseases, create better diagnostic tools, and ultimately allow astronauts to better withstand the rigors of long-duration spaceflight. GeneLab helps scientists understand how the fundamental building blocks of life itself – DNA, RNA, proteins, and metabolites – change from exposure to microgravity, radiation, and other aspects of the space environment. GeneLab does so by providing fully coordinated epigenomics, genomics, transcriptomics, proteomics, and metabolomics data alongside essential metadata describing each spaceflight and space-relevant experiment. By carefully curating and implementing best practices for data standards, users can combine individual GeneLab datasets to gain new, comprehensive insights about the effects of spaceflight on biology. In this way, GeneLab extends the scientific knowledge gained from each biological experiment conducted in space, allowing scientists from around the world to make novel discoveries and develop new hypotheses from these priceless data.
<<<!!!<<< This repository is no longer available. >>>!!!>>> The sequencing of several bird genomes and the anticipated sequencing of many more provided the impetus to develop a model organism database devoted to the taxonomic class: Aves. Birds provide model organisms important to the study of neurobiology, immunology, genetics, development, oncology, virology, cardiovascular biology, evolution and a variety of other life sciences. Many bird species are also important to agriculture, providing an enormous worldwide food source worldwide. Genomic approaches are proving invaluable to studying traits that affect meat yield, disease resistance, behavior, and bone development along with many other factors affecting productivity. In this context, BirdBase will serve both biomedical and agricultural researchers.