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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://www.bioinf.man.ac.uk/dbbrowser/PRINTS/
Compendium of protein fingerprints. Diagnostic fingerprint database.
Proper citation: PRINTS (RRID:SCR_003412) Copy
http://www.ncbi.nlm.nih.gov/taxonomy/
Database for a curated classification and nomenclature that contains the names of all organisms that are represented in the public sequence databases with at least one nucleotide or protein sequence. Data provided encompasses archaea, bacteria, eukaryota, viroids and viruses. The NCBI taxonomy database is not a primary source for taxonomic or phylogenetic information. Furthermore, the database does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts. Consequently, the NCBI taxonomy database is not a phylogenetic or taxonomic authority and should not be cited as such.
Proper citation: NCBI Taxonomy (RRID:SCR_003256) Copy
http://people.biochem.umass.edu/fournierlab/3dmodmap/
Database of maps showing the sites of modified rRNA nucleotides. Access to the rRNA sequences, secondary structures both with modification sites indicated, 3D modification maps and the supporting tables of equivalent nucleotides for rRNA from model organisms including yeast, arabidopsis, e. coli and human is provided. This database complements the Yeast snoRNA Database at UMass-Amherst and relies on linking to some content from that database, as well as to others by colleagues in related fields. Therefore, please be very cognizant as to the source when citing information obtained herein. Locations of modified rRNA nucleotides within the 3D structure of the ribosome.
Proper citation: 3D Ribosomal Modification Maps Database (RRID:SCR_003097) Copy
Database with annotations for human variation data with protein structural information and other functionally relevant information, if available. The mutations are organized by gene.
Proper citation: MutDB (RRID:SCR_003251) Copy
http://www.ncbi.nlm.nih.gov/tools/primer-blast/
A tool to design target-specific primers for polymerase chain reaction (PCR). It uses Primer3 to design PCR primers and then uses BLAST and global alignment algorithm to screen primers against user-selected database in order to avoid primer pairs (all combinations including forward-reverse primer pair, forward-forward as well as reverse-reverse pairs) that can cause non-specific amplifications.
Proper citation: Primer-BLAST (RRID:SCR_003095) Copy
HvrBase++ is the improved and extended version of HvrBase. Extensions are made by adding more population-based sequence samples from all primates including humans. The current collection comprises 13,873 hypervariable region I (HVRI) sequences and 4940 hypervariable region II (HVRII) sequences. In addition, we included 1376 complete mitochondrial genomes, 205 sequences from X-chromosomal loci and 202 sequences from autosomal chromosomes 1, 8, 11 and 16. In order to reduce the introduction of erroneous data into HvrBase++, we have developed a procedure that monitors GenBank for new versions of the current data in HvrBase++ and automatically updates the collection if necessary. For the stored sequences, supplementary information such as geographic origin, population affiliation and language of the sequence donor can be retrieved. As a new key feature, HvrBase++ provides an interactive graphical tool to easily access data from dynamically created geographical maps.
Proper citation: HvrBase++- an mtDNA database (RRID:SCR_002954) Copy
https://bmir-gforge.stanford.edu/gf/project/odie
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. A software toolkit to code document sets with ontologies or to enrich existing ontologies with new concepts from the document set. It contains algorithms for Named Entity Recognition, Co-reference resolution, concept discovery, discourse reasoning and attribute value extraction. The project aimed to develop a toolkit that will provide the following functionality: * Build text processing pipelines that use ontologies to annotate documents. * Enrich ontologies with new concepts that are automatically discovered in documents. * Populate an information model automatically from information extracted from documents. ODIE is open source software released under the LGPL v3.0 License. ODIE is written in Java and uses the Eclipse RCP Framework for the UI. The source code is organized into Eclipse projects.
Proper citation: Ontology Development and Information Extraction (RRID:SCR_003405) Copy
http://genomequebec.mcgill.ca/PReMod
Database that describes more than 100,000 computational predicted transcriptional regulatory modules within the human genome. These modules represent the regulatory potential for 229 transcription factors families and are the first genome-wide / transcription factor-wide collection of predicted regulatory modules for the human genome. The algorithm used involves two steps: (i) Identification and scoring of putative transcription factor binding sites using 481 TRANSFAC 7.2 position weight matrices (PWMs) for vertebrate transcription factors. To this end, each non-coding position of the human genome was evaluated for its similarity to each PWM using a log-likelihood ratio score with a local GC-parameterized third-order Markov background model. Corresponding orthologous positions in mouse and rat genomes were evaluated similarly and a weighted average of the human, mouse, and rat log-likelihood scores at aligned positions (based on a Multiz (Blanchette et al. 2004) genome-wide alignment of these three species) was used to define the matrix score for each genomic position and each PWM. (ii) Detection of clustered putative binding sites. To assign a module score to a given region, the five transcription factors with the highest total scoring hits are identified, and a p-value is assigned to the total score observed of the top 1, 2, 3, 4, or 5 factors. The p-value computation takes into consideration the number of factors involved (1 to 5), their total binding site scores, and the length and GC content of the region under evaluation. Users can retrieve all information for a given region, a given PWM, a given gene and so on. Several options are given for textual output or visualization of the data.
Proper citation: PReMod (RRID:SCR_003403) Copy
http://analysis2.bio-x.cn/myAnalysis.php
A powerful web-based platform for analyses of linkage disequilibrium, haplotype construction, and genetic association at polymorphism loci.
Proper citation: SHEsis: Analysis Tools For Random Samples (RRID:SCR_002958) Copy
A not for profit organization to accelerate research into aging by sharing resources: providing access to cost and time effective, aged murine tissue through a biorepository and database of live ageing colonies, as well as promoting the networking of researchers and dissemination of knowledge through its online collaborative environment; MiCEPACE. ShARM will provide valuable resources for the scientific community while helping to reduce the number of animals used in vital research into aging. The biobank of tissue and networking facility will enable scientists to access shared research material and data. By making use of collective resources, the number of individual animals required in research experiments can be minimized. The project also has the added value of helping to reduce the costs of research by connecting scientists, pooling resource and combining knowledge. ShARM works in partnership with MRC Harwell and the Centre for Intergrated Research into Musculoskeletal Ageing (CIMA).
Proper citation: ShARM (RRID:SCR_003120) Copy
http://tiger.dbs.nus.edu.sg/AllerHunter
A cross-reactive allergen prediction program built on a combination of Support Vector Machine (SVM) and pairwise sequence similarity. Cross-reactivity is based on similarity of proteins to allergens. However, not all proteins with similar sequence or structure to known allergens are cross-reactive allergens. AllerHunter aims to predict allergens and non-allergens with high sensitivity and specificity, without compromising efficiency at classification of proteins with similar sequence to known allergens. There are distinct differences between prediction of allergenicity and cross-reactivity of allergens. Allergenicity is the immunogenic potential of an allergen to induce IgE antibody production, whereas cross-reactivity is the potential of a substance to bind to IgE previously induced by a known allergen. It is difficult to predict allergenicity because causes of immunogenicity of allergens are still not completely clear. However it is possible to predict cross-reactivity since it implies similarity in IgE binding sites. Please provide protein sequence in fasta format.
Proper citation: AllerHunter: Cross-reactive Allergen Prediction Home (RRID:SCR_002950) Copy
http://elgar.ucsd.edu/software/magi/
A web service for fast microRNA-Seq data analysis in a GPU infrastructure.
Proper citation: MAGI (RRID:SCR_003360) Copy
http://www-bio3d-igbmc.u-strasbg.fr/ICDS/
Database of interrupted coding sequences detected by a similarity-based approach in complete prokaryotic genomes. The definition of each interrupted gene is provided as well as the ICDS genomic localization with the surrounding sequence. To facilitate the experimental characterization of ICDS, optimized primers are proposed for re-sequencing purposes. The database is accessible by BLAST search or by genome. 118 Genomes are available in the database.
Proper citation: Interrupted CoDing Sequence Database (RRID:SCR_002949) Copy
A database of human mitochondrial genomes containing mtDNA sequences, polymorphic sites, and the ability to search for specific variants. It contains 1865 complete sequences and 839 coding region sequences.
Proper citation: mtDB - Human Mitochondrial Genome Database (RRID:SCR_002945) Copy
http://mirnamap.mbc.nctu.edu.tw
A database of experimentally verified microRNAs and miRNA target genes in human, mouse, rat, and other metazoan genomes. In addition to known miRNA targets, three computational tools previously developed, such as miRanda, RNAhybrid and TargetScan, were applied for identifying miRNA targets in 3'-UTR of genes. In order to reduce the false positive prediction of miRNA targets, several criteria are supported for filtering the putative miRNA targets. Furthermore, miRNA expression profiles can provide valuable clues for investigating the properties of miRNAs, such tissue specificity and differential expression in cancer/normal cell. Therefore, we performed the Q-PCR experiments for monitoring the expression profiles of 224 human miRNAs in eighteen major normal tissues in human. The cross-reference between the miRNA expression profiles and the expression profiles of its target genes can provide effective viewpoint to understand the regulatory functions of the miRNA.
Proper citation: miRNAMap (RRID:SCR_003156) Copy
Database that provides experimentally determined thermodynamic interaction data between proteins and nucleic acids. It contains the properties of the interacting protein and nucleic acid, bibliographic information and several thermodynamic parameters such as the binding constants, changes in free energy, enthalpy and heat capacity.
Proper citation: ProNIT (RRID:SCR_003431) Copy
http://biomine.cs.helsinki.fi/
Service that integrates cross-references from several biological databases into a graph model with multiple types of edges, such as protein interactions, gene-disease associations and gene ontology annotations. Edges are weighted based on their type, reliability, and informativeness. In particular, it formulates protein interaction prediction and disease gene prioritization tasks as instances of link prediction. The predictions are based on a proximity measure computed on the integrated graph.
Proper citation: Biomine (RRID:SCR_003552) Copy
http://lcg.rit.albany.edu/dp-bind
This web-server takes a user-supplied sequence of a DNA-binding protein and predicts residue positions involved in interactions with DNA. Prediction can be performed using a profile of evolutionary conservation of the input sequence automatically generated by the web-server or the input sequence alone. Three prediction methods are run for each input sequence and consensus prediction is generated.
Proper citation: DP-Bind: a web server for sequence-based prediction of DNA-binding residues in DNA-binding proteins (RRID:SCR_003039) Copy
http://kt.ijs.si/software/SEGS/
A web tool for descriptive analysis of microarray data. The analysis is performed by looking for descriptions of gene sets that are statistically significantly over- or under-expressed between different scenarios within the context of a genome-scale experiments (DNA microarray). Descriptions are defined by using the terms from the Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene-gene interactions found in the ENTREZ database. Gene annotations by GO and KEGG terms can also be found in the ENTREZ database. The tool provides three procedures for testing the enrichment of the gene sets (over- or under-expressed): Fisher's exact test, GSEA and PAGE, and option for combining the results of the tests. Because of the multiple-hypothesis testing nature of the problem, all the p-values are computed using the permutation testing method.
Proper citation: SEGS (RRID:SCR_003554) Copy
http://www.nature.com/nature/videoarchive/index.html
For selected articles and letters Nature presents streaming videos featuring interviews with scientists behind the research and analysis from Nature editors. To view the videos you will need the free Flash browser plugin. You can also visit the Nature Video YouTube channel which enables you to easily embed and share our videos through websites, mobile devices, blogs and email.
Proper citation: Nature Online Video Streaming Archive (RRID:SCR_003432) Copy
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