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http://www.chemcomp.com/MOE-Molecular_Operating_Environment.htm

Drug discovery software package which can be used in structure-based design, fragment-based design, pharmacophore discovery, medicinal chemistry, protein and antibody modelling, and molecular modeling and simulations. Each aspect of the software package has its own unique features: for example, features for structure-based design include active site detection, scaffold replacement, multi fragment search, and solvent analysis.

Proper citation: MOE (RRID:SCR_014882) Copy   

•   Source: SciCrunch Registry

https://www.google.com/

American multinational technology company that specializes in internet related services and products, which include online advertising technologies, search engine, cloud computing, software, and hardware. Considered one of Big Four technology companies, alongside Amazon, Apple and Facebook.

Proper citation: Google (RRID:SCR_017097) Copy   

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https://www.mediawiki.org/wiki/MediaWiki

A server-based software wiki package written in PHP. It is a powerful, scalable software deigned for high-traffic websites. MediaWiki uses PHP to process and display data stored in a database such as MySQL. When a user submits an edit to a page, MediaWiki writes it to the database without deleting the previous versions, allowing easy reversions. MediaWiki is able to manage image and multimedia files, as well, which are stored in the filesystem.

Proper citation: MediaWiki (RRID:SCR_014045) Copy   

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http://www.ensembl.org/

Collection of genome databases for vertebrates and other eukaryotic species with DNA and protein sequence search capabilities. Used to automatically annotate genome, integrate this annotation with other available biological data and make data publicly available via web. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species.

Proper citation: Ensembl (RRID:SCR_002344) Copy   

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http://www-stat.stanford.edu/~tibs/SAM/

Software for genomic expression data mining using a statistical technique for finding significant genes in a set of microarray experiments.

Proper citation: SAM (RRID:SCR_010951) Copy   

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http://bioinformatics.vub.ac.be/databases/databases.html

Downloadable data set designed to assess the performance of both multiple and pairwise (protein) sequence alignment algorithms, and is extremely easy to use. Currently, the database contains 2 sets, each consisting of a number of subsets with related sequences. It''s main features are: * Covers the entire known fold space (SCOP classification), with subsets provided by the ASTRAL compendium * All structures have high quality, with 100% resolved residues * Structure alignments have been derived carefully, using both SOFI and CE, and Relaxed Transitive Alignment * At most 25 sequences in each subset to avoid overrepresentation of large folds* Automated running, archiving and scoring of programs through a few Perl scripts The Twilight Zone set is divided into sequence groups that each represent a SCOP fold. All sequences within a group share a pairwise Blast e-value of at least 1, for a theoretical database size of 100 million residues. Sequence similarity is thus very low, between 0-25% identity, and a (traceable) common evolutionary origin cannot be established between most pairs even though their structures are (distantly) similar. This set therefore represents the worst case scenario for sequence alignment, which unfortunately is also the most frequent one, as most related sequences share less than 25% identity. The Superfamilies set consists of groups that each represent a SCOP superfamily, and therefore contain sequences with a (putative) common evolutionary origin. However, they share at most 50% identity, which is still challenging for any sequence alignment algorithm. Frequently, alignments are performed to establish whether or not sequences are related. To benchmark this, a second version of both the Twilight Zone and the Superfamilies set is provided, in which to each alignment problem a number of false positives, i.e. sequences not related to the original set, are added. Database specifications: * Current version: 1.65 (concurrent with PDB, SCOP and ASTRAL) * Twilight Zone set (with false positives): 209 groups, 1740 (3280) sequences, 10667 (44056) related pairs * Superfamilies set (with false positives): 425 groups, 3280 (6526) sequences, 19092 (79095) related pairs

Proper citation: SABmark (RRID:SCR_011817) Copy   

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https://www.webofscience.com/wos/woscc/advanced-search

Database of bibliographic citations of multidisciplinary areas that covers various journals of medical, scientific, and social sciences including humanities.Publisher independent global citation database.

Proper citation: Web of Science (RRID:SCR_022706) Copy   

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http://www.broadinstitute.org/mammals/haploreg/haploreg.php

HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using linkage disequilibrium (LD) information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with their predicted chromatin state in nine cell types, conservation across mammals, and their effect on regulatory motifs. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation.

Proper citation: HaploReg (RRID:SCR_006796) Copy   

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http://www.hologic.com

Commercial organization that provides services and products in global healthcare and diagnostics.

Proper citation: Hologic (RRID:SCR_015529) Copy   

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http://www.blender.org/

Blender is the free open source 3D content creation suite, available for all major operating systems under the GNU General Public License. Because of the overwhelming success of the first open movie project, Ton Roosendaal, the Blender Foundation''s chairman, has established the Blender Institute. This now is the permanent office and studio to more efficiently organize the Blender Foundation goals, but especially to coordinate and facilitate Open Projects related to 3D movies, games or visual effects.

Proper citation: Blender (RRID:SCR_008606) Copy   

•   Source: SciCrunch Registry

http://scholar.google.com/

Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites. Google Scholar helps you find relevant work across the world of scholarly research. Features of Google Scholar * Search diverse sources from one convenient place * Find articles, theses, books, abstracts or court opinions * Locate the complete document through your library or on the web * Learn about key scholarly literature in any area of research How are documents ranked? Google Scholar aims to rank documents the way researchers do, weighing the full text of each document, where it was published, who it was written by, as well as how often and how recently it has been cited in other scholarly literature. * Publishers - Include your publications in Google Scholar * Librarians - Help patrons discover your library''s resources

Proper citation: Google Scholar (RRID:SCR_008878) Copy   

•   Source: SciCrunch Registry

http://Mar2008.archive.ensembl.org

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17,2022. Genome databases for vertebrates and other eukaryotic species. Analysis and annotation maintained on current data.Distribution of analysis to other bioinformatics laboratories. Ensembl concentrates on vertebrate genomes, but other groups have adapted system for use with plant and fungal genomes (see Powered by Ensembl list on website).

Proper citation: Ensembl Genome Browser (RRID:SCR_013367) Copy   

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http://services.bio.ifi.lmu.de/ProSAS

This database provides a unified resource to analyze the effects of alternative splicing events on the structure of the resulting protein isoforms. ProSAS comprehensively annotates protein structures for several Ensembl genomes and alternative transcripts can be analyzed on the protein structure and protein function level using the intuitive user interface of the database. Users can search based on Ensembl gene or Ensembl transcript ids, Gene descriptions, Uniprot gene names, Genes matching patterns, Swissprot/Uniprot identifiers or Affymetrix probeset ids.

Proper citation: ProSAS (RRID:SCR_007876) Copy   

•   Source: SciCrunch Registry

https://www.agilent.com/en/product/cell-analysis/real-time-cell-metabolic-analysis/xf-software/seahorse-wave-controller-software-2-6-1-740904

Instrument control and data acquisition software for Agilent Seahorse XFe96 and XFe24 analyzers with Windows 10 64-bit OS only. Experiment design, instrument control, data analysis, and file management software. Software provides intuitive interface with predefined assay templates and streamlined experimental design for simplified metabolic analysis.

Proper citation: Agilent Seahorse Wave (RRID:SCR_024491) Copy   

•   Source: SciCrunch Registry

https://www.vicon.com/products/software/nexus

Data capture software for use with Vicon motion capture system. Its features include MATLAB integration, Python pre-installed, customized workflow, and automated quality assessment.

Proper citation: Nexus (RRID:SCR_015001) Copy   

•   Source: SciCrunch Registry

http://srv00.recas.ba.infn.it/ASPicDB/

A database to access reliable annotations of the alternative splicing pattern of human genes, obtained by ASPic algorithm (Castrignano et al. 2006), and to the functional annotation of predicted isoforms. Users may select and extract specific sets of data related to genes, transcripts and introns fulfilling a combination of user-defined criteria. Several tabular and graphical views of the results are presented, providing a comprehensive assessment of the functional implication of alternative splicing in the gene set under investigation. ASPicDB also includes information on tissue-specific splicing patterns of normal and cancer cells, based on available EST data and their library source annotation.

Proper citation: ASPicDB (RRID:SCR_002102) Copy   

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http://www.scandb.org/newinterface/about.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A large-scale database of genetics and genomics data associated to a web-interface and a set of methods and algorithms that can be used for mining the data in it. The database contains two categories of single nucleotide polymorphism (SNP) annotations: # Physical-based annotation where SNPs are categorized according to their position relative to genes (intronic, inter-genic, etc.) and according to linkage disequilibrium (LD) patterns (an inter-genic SNP can be annotated to a gene if it is in LD with variation in the gene). # Functional annotation where SNPs are classified according to their effects on expression levels, i.e. whether they are expression quantitative trait loci (eQTLs) for that gene. SCAN can be utilized in several ways including: (i) queries of the SNP and gene databases; (ii) analysis using the attached tools and algorithms; (iii) downloading files with SNP annotation for various GWA platforms. . eQTL files and reported GWAS from NHGRI may be downloaded., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SCAN (RRID:SCR_005185) Copy   

•   Source: SciCrunch Registry

http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastx&BLAST_PROGRAMS=blastx&PAGE_TYPE=BlastSearch&SHOW_DEFAULTS=on&LINK_LOC=blasthome

Web application to search protein databases using a translated nucleotide query. Translated BLAST services are useful when trying to find homologous proteins to a nucleotide coding region. Blastx compares translational products of the nucleotide query sequence to a protein database. Because blastx translates the query sequence in all six reading frames and provides combined significance statistics for hits to different frames, it is particularly useful when the reading frame of the query sequence is unknown or it contains errors that may lead to frame shifts or other coding errors. Thus blastx is often the first analysis performed with a newly determined nucleotide sequence and is used extensively in analyzing EST sequences. This search is more sensitive than nucleotide blast since the comparison is performed at the protein level.

Proper citation: BLASTX (RRID:SCR_001653) Copy   

•   Source: SciCrunch Registry

https://github.com/hms-dbmi/spp

R analysis and processing package for Illumina platform Chip-Seq data.

Proper citation: SPP (RRID:SCR_001790) Copy   

•   Source: SciCrunch Registry

http://www.microrna.org

Database of microRNA target predictions and expression profiles. Target predictions are based on a development of the miRanda algorithm which incorporates current biological knowledge on target rules and on the use of an up-to-date compendium of mammalian microRNAs. MicroRNA expression profiles are derived from a comprehensive sequencing project of a large set of mammalian tissues and cell lines of normal and disease origin. This website enables users to explore: * The set of genes that are potentially regulated by a particular microRNA. * The implied cooperativity of multiple microRNAs on a particular mRNA. * MicroRNA expression profiles in various mammalian tissues. The web resource provides users with functional information about the growing number of microRNAs and their interaction with target genes in many species and facilitates novel discoveries in microRNA gene regulation. The microRNA Target Detection Software, miRanda, is an algorithm for finding genomic targets for microRNAs. This algorithm has been written in C and is available as an open-source method under the GPL., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: microRNA.org (RRID:SCR_006997) Copy   

•   Source: SciCrunch Registry