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http://crezoo.crt-dresden.de/crezoo/

Database of helpful set of CreERT2 driver lines expressing in various regions of the developing and adult zebrafish. The lines have been generated via the insertion of a mCherry-T2A-CreERT2 in a gene trap approach or by using promoter fragments driving CreERT2. You can search the list of all transgenic lines or single entries by insertions (gene) or expression patterns (anatomy/region). In most cases the CreERT2 expression profile using in situ hybridization at 24 hpf and 48 hpf is shown, but also additional information (e.g. mCherry or CreERT2 expression at adult stages, transactivation of a Cre-dependent reporter line) is displayed. Currently, not all insertions have been mapped to a genomic location but the database will be regularly updated adding newly generated insertions and mapping information. Your help in improving and broadening the database by giving your opinion or knowledge of expression patterns is highly appreciated.

Proper citation: CreZoo (RRID:SCR_008919) Copy   

•   Source: SciCrunch Registry

http://www.textpresso.org/

An information extracting and processing package for biological literature that can be used online or installed locally via a downloadable software package, http://www.textpresso.org/downloads.html Textpresso's two major elements are (1) access to full text, so that entire articles can be searched, and (2) introduction of categories of biological concepts and classes that relate two objects (e.g., association, regulation, etc.) or describe one (e.g., methods, etc). A search engine enables the user to search for one or a combination of these categories and/or keywords within an entire literature. The Textpresso project serves the biological and biomedical research community by providing: * Full text literature searches of model organism research and subject-specific articles at individual sites. Major elements of these search engines are (1) access to full text, so that the entire content of articles can be searched, and (2) search capabilities using categories of biological concepts and classes that relate two objects (e.g., association, regulation, etc.) or identify one (e.g., cell, gene, allele, etc). The search engines are flexible, enabling users to query the entire literature using keywords, one or more categories or a combination of keywords and categories. * Text classification and mining of biomedical literature for database curation. They help database curators to identify and extract biological entities and facts from the full text of research articles. Examples of entity identification and extraction include new allele and gene names and human disease gene orthologs; examples of fact identification and extraction include sentence retrieval for curating gene-gene regulation, Gene Ontology (GO) cellular components and GO molecular function annotations. In addition they classify papers according to curation needs. They employ a variety of methods such as hidden Markov models, support vector machines, conditional random fields and pattern matches. Our collaborators include WormBase, FlyBase, SGD, TAIR, dictyBase and the Neuroscience Information Framework. They are looking forward to collaborating with more model organism databases and projects. * Linking biological entities in PDF and online journal articles to online databases. They have established a journal article mark-up pipeline that links select content of Genetics journal articles to model organism databases such as WormBase and SGD. The entity markup pipeline links over nine classes of objects including genes, proteins, alleles, phenotypes, and anatomical terms to the appropriate page at each database. The first article published with online and PDF-embedded hyperlinks to WormBase appeared in the September 2009 issue of Genetics. As of January 2011, we have processed around 70 articles, to be continued indefinitely. Extension of this pipeline to other journals and model organism databases is planned. Textpresso is useful as a search engine for researchers as well as a curation tool. It was developed as a part of WormBase and is used extensively by C. elegans curators. Textpresso has currently been implemented for 24 different literatures, among them Neuroscience, and can readily be extended to other corpora of text.

Proper citation: Textpresso (RRID:SCR_008737) Copy   

•   Source: SciCrunch Registry

http://burgundy.cmmt.ubc.ca/cgi-bin/RAVEN/a?rm=home

Tool to search for putative regulatory genetic variation in your favorite gene. Single nucleotide polymorphisms (SNPs) (from dbSNP and user defined) are analyzed for overlap with potential transcription factor binding sites (TFBS) and phylogenetic footprinting using UCSC phastCons scores from multiple alignments of 8 vertebrate genomes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: RAVEN (RRID:SCR_001937) Copy   

•   Source: SciCrunch Registry

http://www.GeneWeaver.org

Freely accessible phenotype-centered database with integrated analysis and visualization tools. It combines diverse data sets from multiple species and experiment types, and allows data sharing across collaborative groups or to public users. It was conceived of as a tool for the integration of biological functions based on the molecular processes that subserved them. From these data, an empirically derived ontology may one day be inferred. Users have found the system valuable for a wide range of applications in the arena of functional genomic data integration.

Proper citation: Gene Weaver (RRID:SCR_003009) Copy   

•   Source: SciCrunch Registry

http://www.kaluefflab.com/znpindex.html

Database of neurobehavioral and physiological data of adult zebrafish models, complementing the available repositories for zebrafish genetic information, by providing a dynamic, open-access data repository of comprehensive, curated collection of results from zebrafish neurobehavioral experiments. As of May 2012, it contains over 4,500 experimental results, from over 75 unique physiological and behavioral tests and 330 different drug treatments. ZNP incorporates validated and curated data from work published in this field, to improve the accessibility of current knowledge to researchers interested in using adult zebrafish models. Overall, this program will allow investigators to rapidly review data, to direct their research using these models. Data and protocol submissions are now being accepted.

Proper citation: Zebrafish Neurophenome Project Database (RRID:SCR_004482) Copy   

•   Source: SciCrunch Registry

http://crispr.dbcls.jp/

Software for designing CRISPR/Cas guide RNA with reduced off target sites. Used for rational design of CRISPR/Cas target. Web server for selecting rational CRISPR/Cas targets from input sequence. Server currently incorporates genomic sequences of human, mouse, rat, marmoset, pig, chicken, frog, zebrafish, Ciona, fruit fly, silkworm, Caenorhabditis elegans, Arabidopsis, rice, Sorghum and budding yeast.

Proper citation: CRISPRdirect (RRID:SCR_018186) Copy   

•   Source: SciCrunch Registry

https://www.facebase.org/fishface/home

ishFace is an atlas of zebrafish craniofacial development. How do the elements of the craniofacial skeleton arise, grow, and reshape? Answers to this question are coming from both molecular-genetic and cell-biological approaches, which rely, first of all, on precise description of the developmental events and processes that comprise skeletogenesis. Zebrafish, with a sophisticated knowledge of its genetics and genomics, with favorable attributes for phenotypic analyses of development, and with patterns of development conserved among all vertebrates, provides a powerful animal model for learning about craniofacial development. In particular, with current transgenic approaches one can examine craniofacial skeletal elements in exquisite cellular detail during an extended period of development within living, intact embryos and larvae an investigative method unsurpassed in accuracy and sensitivity. We constructed this developmental atlas of the craniofacial skeleton, FishFace, to serve as a guide for such study. We hope that the FishFace Atlas will be particularly useful in comparative and mutational analyses where there is interest in understanding the cellular basis of early skeletogenesis. The heart of the FishFace Atlas uses high magnification (generally a 40x objective) confocal image stacks showing transgenically-labelled chondrocytes or osteoblasts, along with mineralized bone matrix, which is visualized by vital staining with Alizarin red. We present these stacks in sequences that follow particular individual cartilages and bones of the first two pharyngeal arches as they develop during embryonic and larval stages. To do so, we build on the foundation set out in the gold standard reference for describing comprehensively skeletal elements in the zebrafish craniofacial complex, Cubbage and Mabee (1996), which used fixed preparations stained for cartilage and bone through adult stages. The FishFace Atlas element development section adds considerable detail to arch one and two early development, particularly at the cellular level, but also in description of element growth and shaping. Other sections of the FishFace Atlas, at lower magnification, provide anatomical context for the element development section, including an interactive tool made by optical projection tomography (OPT) for learning the anatomy of the entire larval skull. Hence, the FishFace Atlas provides the community with an interactive resource with which the user can understand not only the cellular details, but also complex 3D anatomical relationships, of developing elements in the craniofacial skeleton of the zebrafish.

Proper citation: FishFace - An atlas of zebrafish craniofacial development (RRID:SCR_008894) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/bonzeb/

Portal provides tools for investigating visuomotor integration specific to high speed kinematic tracking in small model organisms in closed loop experiments. University of Toronto scientists developed suite of Bonsai modules for specifically tracking and analyzing zebrafish movements and integrating these data with closed-loop experiments. BonZeb modules can also be used in an open-loop fashion for collecting, analyzing, and integrating data from multiple sources in real time, or from offline sources for batch processing of pre-recorded data.

Proper citation: BonZeb project (RRID:SCR_021388) Copy   

•   Source: SciCrunch Registry

http://zcre.org.uk/Welcome.html

ZCre is a consortium of researchers who have a shared interest in developing Cre/lox based tools for use in the zebrafish model organism. ZCre plans to generate 15 or more tissue specific ERT2CreERT2 driver lines to be expressed in either differentiated cell types or precursor/stem cells, as well as 20 or more lines based upon multilox technology. One set of multilox transgenes will allow long-term permanent labelling of individual cells for lineage tracing and other applications. Another set will allow perturbation of single pathways within individual cells (PathM lines). In order to make these lines ZCre has developed a three-way cloning system using Gateway technology (Invitrogen). Once constructs are made they will be deposited at Addgene.org. Transgenic lines will be available from ZCre or from regional stock centers as requested.

Proper citation: ZCre (RRID:SCR_000815) Copy   

•   Source: SciCrunch Registry

http://www.sbpdiscovery.org/technology/sr/Pages/LaJolla_AnimalFacility.aspx

Animal facility that provides housing for specific pathogen free rodents, frogs, and zebrafish. The facility also has trained animal care technicians provide expertise in animal husbandry, transgenic and knockout mouse breeding colony maintenance and assistance with routine technical procedures.

Proper citation: Sanford Burnham Prebys Medical Discovery Institute Animal Facility (RRID:SCR_014849) Copy   

•   Source: SciCrunch Registry

http://zfishbook.org/

Collection of revertible protein trap gene-breaking transposon (GBT) insertional mutants in zebrafish with active or cryopreserved lines from initially identified lines. Open to community-wide contributions including expression and functional annotation and represents world-wide central hub for information on how to obtain these lines from diverse members of International Zebrafish Protein Trap Consortium (IZPTC) and integration within other zebrafish community databases including Zebrafish Information Network (ZFIN), Ensembl and National Center for Biotechnology Information. Registration allows users to save their favorite lines for easy access, request lines from Mayo Clinic catalog, contribute to line annotation with appropriate credit, and puts them on optional mailing list for future zfishbook newletters and updates.

Proper citation: zfishbook (RRID:SCR_006896) Copy   

•   Source: SciCrunch Registry

https://neuinfo.org/about/sources/nlx_143622-1

International registry of biomaterial supply resources both for transplantation and research. Contributions to this resource are welcome. The database is searchable through NIF and is updated regularly.

Proper citation: One Mind Biospecimen Bank Listing (RRID:SCR_004193) Copy   

•   Source: SciCrunch Registry

http://www.biocomputing.it/fidea/

A web server for the functional interpretation of differential expression analysis. It can: * Calculate overrepresentation statistics using KEGG, Interpro, Gene Ontology Molecular Function, Gene Ontology Biological Process, Gene Ontology Cellular Component and GoSlim classifications; * Analyze down-regulated and up-regulated DE genes separately or together as a single set; * Provide interactive graphs and tables that can be modified on the fly according to user defined parameters; the user can set a fold change filter and interactively see the effects on the gene set under examination; * Output publication-ready plot of the graph; * Compare the results of several experiments in any combination.

Proper citation: FIDEA (RRID:SCR_004187) Copy   

•   Source: SciCrunch Registry

http://llama.mshri.on.ca/funcassociate/

A web-based tool that accepts as input a list of genes, and returns a list of GO attributes that are over- (or under-) represented among the genes in the input list. Only those over- (or under-) representations that are statistically significant, after correcting for multiple hypotheses testing, are reported. Currently 37 organisms are supported. In addition to the input list of genes, users may specify a) whether this list should be regarded as ordered or unordered; b) the universe of genes to be considered by FuncAssociate; c) whether to report over-, or under-represented attributes, or both; and d) the p-value cutoff. A new version of FuncAssociate supports a wider range of naming schemes for input genes, and uses more frequently updated GO associations. However, some features of the original version, such as sorting by LOD or the option to see the gene-attribute table, are not yet implemented. Platform: Online tool

Proper citation: FuncAssociate: The Gene Set Functionator (RRID:SCR_005768) Copy   

•   Source: SciCrunch Registry

http://crcview.hegroup.org/

Web-based microarray data analysis and visualization system powered by CRC, or Chinese Restaurant cluster, a Dirichlet process model-based clustering algorithm recently developed by Dr. Steve Qin. It also incorporates several gene expression analysis programs from Bioconductor, including GOStats, genefilter, and Heatplus. CRCView also installs from the Bioconductor system 78 annotation libraries of microarray chips for human (31), mouse (24), rat (14), zebrafish (1), chicken (1), Drosophila (3), Arabidopsis (2), Caenorhabditis elegans (1), and Xenopus Laevis (1). CRCView allows flexible input data format, automated model-based CRC clustering analysis, rich graphical illustration, and integrated Gene Ontology (GO)-based gene enrichment for efficient annotation and interpretation of clustering results. CRC has the following features comparing to other clustering tools: 1) able to infer number of clusters, 2) able to cluster genes displaying time-shifted and/or inverted correlations, 3) able to tolerate missing genotype data and 4) provide confidence measure for clusters generated. You need to register for an account in the system to store your data and analyses. The data and results can be visited again anytime you log in.

Proper citation: CRCView (RRID:SCR_007092) Copy   

•   Source: SciCrunch Registry

http://www.kaluefflab.com/znrc.html

A group of scientists who collaborate and promote zebrafish neuroscience research. The consortium has opportunities for networking, scholarly publications and zebrafish-related symposia and conferences. The consortium is a supporter of the Zebrafish Neurophenome Project (ZNP), an initiative for a database of zebrafish behavioral and physiological data in an online, open source format.

Proper citation: Zebrafish Neuroscience Research Consortium (RRID:SCR_000298) Copy   

•   Source: SciCrunch Registry

http://www.stanford.edu/~rnusse/pathways/targets.html

A list of target genes of Wnt/beta-catenin signaling. Suggestions for additions are welcome. Direct targets are defined as those with Tcf binding sites and demonstrating that these sites are important.

Proper citation: Target genes of Wnt/beta-catenin signaling (RRID:SCR_007022) Copy   

•   Source: SciCrunch Registry

http://www.uniprot.org/program/Chordata

Data set of manually annotated chordata-specific proteins as well as those that are widely conserved. The program keeps existing human entries up-to-date and broadens the manual annotation to other vertebrate species, especially model organisms, including great apes, cow, mouse, rat, chicken, zebrafish, as well as Xenopus laevis and Xenopus tropicalis. A draft of the complete human proteome is available in UniProtKB/Swiss-Prot and one of the current priorities of the Chordata protein annotation program is to improve the quality of human sequences provided. To this aim, they are updating sequences which show discrepancies with those predicted from the genome sequence. Dubious isoforms, sequences based on experimental artifacts and protein products derived from erroneous gene model predictions are also revisited. This work is in part done in collaboration with the Hinxton Sequence Forum (HSF), which allows active exchange between UniProt, HAVANA, Ensembl and HGNC groups, as well as with RefSeq database. UniProt is a member of the Consensus CDS project and thye are in the process of reviewing their records to support convergence towards a standard set of protein annotation. They also continuously update human entries with functional annotation, including novel structural, post-translational modification, interaction and enzymatic activity data. In order to identify candidates for re-annotation, they use, among others, information extraction tools such as the STRING database. In addition, they regularly add new sequence variants and maintain disease information. Indeed, this annotation program includes the Variation Annotation Program, the goal of which is to annotate all known human genetic diseases and disease-linked protein variants, as well as neutral polymorphisms.

Proper citation: UniProt Chordata protein annotation program (RRID:SCR_007071) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-8/search?q=*

A data set of connectivity statements from BAMS, CoCoMac, BrainMaps, Connectome Wiki, the Hippocampal-Parahippocampal Table of Temporal-Lobe.com, and Avian Brain Circuitry Database. The data set lists which brain sites connectivity is to and from, the organism connectivity is mapped in, and journal references.

Proper citation: Integrated Nervous System Connectivity (RRID:SCR_006391) Copy   

•   Source: SciCrunch Registry

http://zfin.org/zf_info/anatomy/dict/sum.html

A structured controlled vocabulary of the anatomy and development of the Zebrafish (Danio rerio). It includes a list of structures, organized hierarchically into an ontology, with descriptions of each structure. The current version is being written by a consortium of researchers, each serving as an expert for a particular set of anatomical structures. Additional anatomical information derived from the current literature is provided by the ZFIN curation group. Development of a complete and uniform anatomical ontology for the zebrafish is vital to the success of zebrafish science. The anatomical ontology is necessary for: * Effective data dissemination and informatics. * A reference framework. * Interoperability.

Proper citation: Zebrafish Anatomical Ontology (RRID:SCR_005887) Copy   

•   Source: SciCrunch Registry