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It archives data on more than 700 proteins that were identified by multiple mass spectrometry (MS) analyses from highly purified preparations of human nucleoli the most prominent nuclear organelle. Each protein entry is annotated with information about its corresponding gene its domain structures and relevant protein homologues across species as well as documenting its MS identification history including all the peptides sequenced by tandem MS/MS. Moreover, data showing the quantitative changes in the relative levels of 500 nucleolar proteins are compared at different timepoints upon transcriptional inhibition. Correlating changes in protein abundance at multiple timepoints highlighted by visualization means in the NOPdb provides clues regarding the potential interactions and relationships between nucleolar proteins and thereby suggests putative functions for factors within the 30% of the proteome which comprises novel/ uncharacterized proteins. The NOPdb is searchable by either gene names protein sequences Gene Ontology terms or motifs or by limiting the range for isoelectric points and/or molecular weights and links to other databases (e.g. LocusLink OMIM and PubMed).

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• SciCrunch
• 17 years ago - by Anonymous

pTARGET is a computational method to predict the subcellular localization of only eukaryotic proteins from animal species that include fungi and metazoans. Predictions are carried out based on the occurrence patterns of protein functional domains and the amino acid compositional differences in proteins from different subcellular locations. This method can predict proteins targeted to nine distinct subcellular locations that include cytoplasm, endoplasmic reticulum, extracellular/secreted, Golgi, lysosomes, mitochondria, nucleus, peroxysomes and plasma membrane. Current predictions are based on Pfam database version 19.0. Datasets used for developing pTarget method are available., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 16 years ago - by Anonymous

Database of complete sets of Arabidopsis transcription factors with a variety of information on Arabidopsis thaliana transcription factor families including: full-length cDNA sequences, Ds-tagged mutants, multiple sequences alignments of family members, phylogenic trees, functional motifs, and so on. In addition, expression profiles of all transcription factor genes are available.

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• SciCrunch
• 13 years ago - by Anonymous

Data set on the prevalence of self-care behaviors by non-institutionalized older adults. Personal interviews were conducted with 3,485 individuals 65 years of age and older, with oversampling of the oldest old. Questions were asked about the type and extent of self-care behaviors for activities of daily living, management of chronic conditions (through self-care activities, equipment use, and environmental modifications), medical self-care for acute conditions, health promotion/disease preventions, social support, health service utilization, and socio-demographic/economic status. A follow-up study by telephone was conducted in 1994 to continue examination of subjects. Many of the same questions from the baseline were asked, along with questions regarding change in health status since baseline and nursing home visits. For subjects who had been institutionalized since baseline (Part 2), information was gathered (by proxy) regarding demographic status, living arrangements prior to institutionalization, and reasons for institutionalization. For subjects who had died since baseline (Part 3), information was again gathered through interviews with proxies. Questions covered nursing home admissions and date and place of death. In both waves, a proxy was substituted if the subject was hospitalized (or institutionalized since baseline), too ill, cognitively not able to respond, or deceased. Survey data were linked to Medicare/Medicaid health utilization records. The baseline data are archived at NACDA as ICPSR Study No. 6718, and the followup data are archived as ICPSR Study No. 2592 and linkable to the baseline data. * Dates of Study: 1990-1994 * Study Features: Longitudinal * Sample Size: ** 1990-1: 3,485 (Baseline) ** 1994: 2,601 (Followup) Links: * 1990-1991 Baseline ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06718 * 1994 Follow-up ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02592

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• SciCrunch
• 14 years ago - by Anonymous

An integrated genomic and functional genomic database for the parasite Cryptosporidium. CryptoDB integrates whole genome sequence and annotation along with experimental data and environmental isolate sequences provided by community researchers. The database includes supplemental bioinformatics analyses and a web interface for data-mining. Organisms included in CryptoDB are Cryptosporidium parvum, Cryptosporidium hominis, Cryptosporidium muris and environmental isolate sequences from numerous species. CryptoDB is allied with the databases PlasmoDB and ToxoDB via ApiDB, an NIH/NIAID-funded Bioinformatics Resource Center. Tools include: * BLAST: Identify Sequence Similarities * Sequence Retrieval: Retrieve Specific Sequences using IDs and coordinates * PubMed and Entrez: View the Latest Cryptosporidium Pubmed and Entrez Results * Genome Browser: View Sequences and Features in the genome browser * CryptoCyc: Explore Automatically Defined Metabolic Pathways * Searches via Web Services: Web service access to our data

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• SciCrunch
• 16 years ago - by Anonymous

Software application for high-resolution mapping of the position of a disease mutation relative to a set of genetic markers using population linkage disequilibrium (LD). (entry from Genetic Analysis Software)

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• SciCrunch
• 14 years ago - by Anonymous

A genome and functional genomic database for the protozoan parasite Toxoplasma gondii. It incorporates the sequence and annotation of the T. gondii ME49 strain, as well as genome sequences for the GT1, VEG and RH (Chr Ia, Chr Ib) strains. Sequence information is integrated with various other genomic-scale data, including community annotation, ESTs, gene expression and proteomics data. Organisms * Toxoplasma gondii (ME49, RH, GT1, Veg strains) * Neospora caninum * environmental isolate sequences from numerous species Tools * BLAST: Identify Sequence Similarities * Sequence Retrieval: Retrieve Specific Sequences using IDs and coordinates * PubMed and Entrez: View the Latest Toxoplasma, Neospora Pubmed and Entrez Results * Genome Browser: View Sequences and Features in the genome browser * Ancillary Genome Browse: Access Additional info like Probeset data and Toxoplasma Array info

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• SciCrunch
• 16 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 1,2023. An information extraction (IE) tool specifically designed to perform biomedical IE and which is able to locate and analyze both abstracts and full-length papers. BioRAT is a Biological Research Assistant for Text mining, and incorporates a document search ability with domain-specific IE.

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• SciCrunch
• 17 years ago - by Anonymous

This website provides a resource for the Bacillus subtilis genome. It provides a list of mutants, DNA array data, and search features against both the whole genome and coding sequences. It also contains Kegarrays and access to the KEGG Expression Database.

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• SciCrunch
• 17 years ago - by Anonymous

It collects three dimensional protein models obtained by structure prediction methods. Users can both contribute new models and search for existing ones. The database currently stores all models submitted to the last four editions of the CASP experiment.

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• SciCrunch
• 17 years ago - by Anonymous

Software program that performs haplotype-based association analysis in unrelated individuals. This program is based on a maximum likelihood model described in Tregouet et al. 2002 and is linked to the stochastic EM (SEM) algorithm. THESIAS allows the simultaneous estimation of haplotype frequencies and of their associated effects on the phenotype of interest. In its current version, both quantitative and qualitative phenotypes can be studied. Covariate-adjusted haplotype effects as well as haplotype x covariate interactions can be investigated. (entry from Genetic Analysis Software)

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• SciCrunch
• 14 years ago - by Anonymous

A collection of secreted proteins from Human, Mouse and Rat proteomes, which includes sequences from SwissProt, Trembl, Ensembl and Refseq. The 18,152 entries are classified into fourteen functional categories, including "apolipoprotein", "cytokine", "protease", "toxin", etc. To make the dataset more comprehensive, nine related datasets were also collected, such as SPDI, Riken mouse secretome, SwissProt vertebrate secreted proteins, SubLoc etc.

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• SciCrunch
• 17 years ago - by Anonymous

A suite of free software tools to facilitate the analysis of high-throughput genomics data sets. The package is currently a work-in-progress and infrequently updated.

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• SciCrunch
• 14 years ago - by Anonymous

Integrated information resource for rice genomes as well as a workbench for comparative genomic analysis among cereal crops. Sequence contigs of Beijing indica and Syngenta japonica have been further assembled and anchored onto the rice chromosomes. The rice genomes have been annotated for gene content, repetitive elements, and SNPs. Sequence polymorphisms between different rice subspecies have also been identified. Designed as a basic platform for rice study, the sequenced genomes and related information is presented in systematic and graphical ways for the convenience of in-depth comparative studies. In addition to the comprehensive data of Oryza sativa L. ssp. indica sequenced, BGI-RIS will host carefully curated genome information of Oryza sativa L. ssp. japonica.

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• SciCrunch
• 17 years ago - by Anonymous

An Antibody supplier

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• SciCrunch
• 14 years ago - by Anonymous

An Antibody supplier

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• SciCrunch
• 14 years ago - by Anonymous

An Antibody supplier

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• SciCrunch
• 14 years ago - by Anonymous

Software application (entry from Genetic Analysis Software)

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• SciCrunch
• 14 years ago - by Anonymous

Database on Drosophila melanogaster exons presented in a splicing graph form. Data is based on release 3.2 of the Drosophila melanogaster genome annotations available at FlyBase. The gene structure information extracted from the annotations were checked, clustered and transformed into splicing graph. The splicing graph form of the gene constructs were then used for classification of the various types of alternative splicing events. In addition, Pfam domains were mapped onto the gene structure. Users can query the database using the query page using BLAST, FlyBase Gene Name, FlyBase Gene Symbol, Pfam Accession Number and Pfam Identifier. This allows users to determine the Drosophila melanogaster homology of their gene using a BLAST search and to visualize the alternative splicing variants if any. Users can also determine genes containing a particular domain using the Pfam Accession Numbers and Identifiers.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019.<br/><br/>Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

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• SciCrunch
• 15 years ago - by Anonymous