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https://github.com/aarac/DeepBehavior

Software toolbox that automates taking high speed quality video to track behavior to analyze and track behavior in rodents and humans.

Proper citation: DeepBehavior (RRID:SCR_021414) Copy   

•   Source: SciCrunch Registry

http://blocks.fhcrc.org/blocks/codehop.html

This COnsensus-DEgenerate Hybrid Oligonucleotide Primer (CODEHOP) strategy has been implemented as a computer program that is accessible over the World-Wide Web and is directly linked from the BlockMaker multiple sequence alignment site for hybrid primer prediction beginning with a set of related protein sequences. This is a new primer design strategy for PCR amplification of unknown targets that are related to multiply-aligned protein sequences. Each primer consists of a short 3' degenerate core region and a longer 5' consensus clamp region. Only 3-4 highly conserved amino acid residues are necessary for design of the core, which is stabilized by the clamp during annealing to template molecules. During later rounds of amplification, the non-degenerate clamp permits stable annealing to product molecules. The researchers demonstrate the practical utility of this hybrid primer method by detection of diverse reverse transcriptase-like genes in a human genome, and by detection of C5 DNA methyltransferase homologs in various plant DNAs. In each case, amplified products were sufficiently pure to be cloned without gel fractionation. Sponsors: This work was supported in part by a grant from the M. J. Murdock Charitable Trust and by a grant from NIH. S. P. is a Howard Hughes Medical Institute Fellow of the Life Sciences Research Foundation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026.

Proper citation: COnsensus-DEgenerate Hybride Oligonucleotide Primers (RRID:SCR_002875) Copy   

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http://neibank.nei.nih.gov

An integrated resource for genomics and bioinformatics in vision research including expressed sequence tag (EST) data and sequence-verified cDNA clones for multiple eye tissues of several species, web-based access to human eye-specific SAGE data through EyeSAGE, and comprehensive, annotated databases of known human eye disease genes and candidate disease gene loci. All expression- and disease-related data are integrated in EyeBrowse, an eye-centric genome browser. NEIBank provides a comprehensive overview of current knowledge of the transcriptional repertoires of eye tissues and their relation to pathology. The data can be interrogated in several ways. Specific gene names can be entered into the search window. Alternatively, regions of the genome can be displayed. For example, entering two STS markers separated by a semicolon (e.g. RH18061;RH80175) allows the display of the entire chromosomal region associated with the mapping of a specific disease locus. ESTs for each tissue can then be displayed to help in the selection of candidate genes. In addition, sequences can be entered into a BLAST search and rapidly aligned on the genome, again showing eye derived ESTs for the same region. To see the same region at the full UCSC site, cut and paste the location from the position window of the genome browser. EyeBrowse includes a custom track display SAGE data for human eye tissues derived from the EyeSAGE project. The track shows the normalized sum of SAGE tag counts from all published eye-related SAGE datasets centered on the position of each identifiable Unigene cluster. This indicates relative activity of each gene locus in eye. Clicking on the vertical count bar for a particular location will bring up a display listing gene details and linking to specific SAGE counts for each eye SAGE library and comparisons with normalized sums for neural and non-neural tissues. To view or alter settings for the EyeSAGE track on EyeBrowse, click on the vertical gray bar at the left of the display. Other custom tracks display known eye disease genes and mapped intervals for candidate loci for retinal disease, cataract, myopia and cornea disease. These link back to further information at NEIBank.

Proper citation: NEIBank (RRID:SCR_007294) Copy   

•   Source: SciCrunch Registry

http://coot.embl.de/g2d/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A database of candidate genes for mapped inherited human diseases. Candidate priorities are automatically established by a data mining algorithm that extracts putative genes in the chromosomal region where the disease is mapped, and evaluates their possible relation to the disease based on the phenotype of the disorder. Data analysis uses a scoring system developed for the possible functional relations of human genes to genetically inherited diseases that have been mapped onto chromosomal regions without assignment of a particular gene. Methodology can be divided in two parts: the association of genes to phenotypic features, and the identification of candidate genes on a chromosonal region by homology. This is an analysis of relations between phenotypic features and chemical objects, and from chemical objects to protein function terms, based on the whole MEDLINE and RefSeq databases.

Proper citation: Candidate Genes to Inherited Diseases (RRID:SCR_008190) Copy   

•   Source: SciCrunch Registry

http://blog.aids.gov/

The AIDS.gov blog serves as a forum to foster public discussion on using new media effectively in response to HIV/AIDS, as well as HIV/AIDS research and policies. Along with weekly new media posts, the blog features other AIDS.gov-authored posts, guest posts, cross-posts from the White House Office of National AIDS Policy blog and the CDC Health Protection Perspectives blog, PEPFAR blog, and posts from the National Institute of Allergies and Infectious Diseases'' (NIAID) Division of AIDS. A large number of Federal agencies and programs are engaged in HIV/AIDS prevention, testing, treatment, policy, and research efforts in the United States. AIDS.gov serves as a gateway for information about these Federal efforts, with a focus on domestic programs. Since the launch of AIDS.gov on December 1, 2006 (World AIDS Day), there has been a growing interest in using new media tools to disseminate information about HIV/AIDS and improve prevention, testing, treatment, and research outcomes. AIDS.gov created this blog to address that interest, and has since expanded content areas to include key US Government HIV/AIDS-related research and policy posts, among other topics.

Proper citation: AIDS.gov Blog (RRID:SCR_007156) Copy   

•   Source: SciCrunch Registry

http://www.pdgene.org/

The PDGene database aims to provide a comprehensive, unbiased and regularly updated collection of genetic association studies performed on Parkinson's disease (PD) phenotypes. Eligible publications are identified following systematic searches of scientific literature databases, as well as the table of contents of journals in genetics, neurology, and psychiatry. The database can be searched either by a variety of dropdown menus or by specific keywords. For each gene, summary overviews are provided displaying key characteristics for each publication, including links to genotype distributions of the polymorphisms studied, random-effects allelic meta-analyses, and funnel plots for an assessment of publication bias. The PDGene database, developed by Massachusetts General Hospital/Harvard Medical School, The Michael J. Fox Foundation and the Alzheimer Research Forum, is supported by a grant from The Michael J. Fox Foundation in partnership with the Alzheimer Research Forum.

Proper citation: PDGene - A database for Parkinsons disease genetic association studies (RRID:SCR_006666) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/annotation/tetraodon/

This database have been funded by the National Human Genome Research Institute (NHGRI) to produce shotgun sequence of the Tetraodon nigriviridis genome. The strategy involves Whole Genome Shotgun (WGS) sequencing, in which sequence from the entire genome is generated. Whole genome shotgun libraries were prepared from Tetraodon genomic DNA obtained from the laboratory of Jean Weissenbach at Genoscope. Additional sequence data of approximately 2.5X coverage of Tetraodon has also been generated by Genoscope in plasmid and BAC end reads. Broad and Genoscope intend to pool their data and generate whole genome assemblies. Tetraodon nigroviridis is a freshwater pufferfish of the order Tetraodontiformes and lives in the rivers and estuaries of Indonesia, Malaysia and India. This species is 20-30 million years distant from Fugu rubripes, a marine pufferfish from the same family. The gene repertoire of T. nigroviridis is very similar to that of other vertebrates. However, its relatively small genome of 385 Mb is eight times more compact than that of human, mostly because intergenic and intronic sequences are reduced in size compared to other vertebrate genomes. These genome characteristics along with the large evolutionary distance between bony fish and mammals make Tetraodon a compact vertebrate reference genome - a powerful tool for comparative genetics and for quick and reliable identification of human genes.

Proper citation: Tetraodon nigroviridis Database (RRID:SCR_007123) Copy   

•   Source: SciCrunch Registry

https://www.msu.edu/~brains/brains/human/brainstem/index.html

In this atlas you can view axial sections stained for cell bodies or for nerve fibers, at six rostro-caudal levels of the human brain stem. The creators of the site encourage the use of the data and it is available freely, but ask that they be contacted before any use. This site contains a series of axial sections stained for cell bodies or fibers at six rostro-caudal levels of the human brain stem. Sections are labeled for approximately 50 structures and are searchable through a web interface. For each level, a fiber and cell stain is provided. Labels may be turned on or off.

Proper citation: Atlas of the Human Brain Stem (RRID:SCR_007275) Copy   

•   Source: SciCrunch Registry

http://senselab.med.yale.edu/cellpropdb

A repository for data regarding membrane channels, receptor and neurotransmitters that are expressed in specific types of cells. The database is presently focused on neurons but will eventually include other cell types, such as glia, muscle, and gland cells. This resource is intended to: * Serve as a repository for data on gene products expressed in different brain regions * Support research on cellular properties in the nervous system * Provide a gateway for entering data into the cannonical neuron forms in NeuronDB * Identify receptors across neuron types to aid in drug development * Serve as a first step toward a functional genomics of nerve cells * Serve as a teaching aid

Proper citation: Cell Properties Database (RRID:SCR_007285) Copy   

•   Source: SciCrunch Registry

http://genenest.molgen.mpg.de/

GeneNest is a comprehensive visualization of gene indices of several organisms. The aim of GeneNest is to represent each gene by a single cluster of ESTs and/or mRNAs. Further subdivision of a cluster into contigs may be caused by alternative splicing, genomic sequences, or artifacts like chimeric sequences. Consensus sequence derived from GeneNest contigs are a basis for mapping genes onto the genome, and for analysis of splice isoforms. Organisms included are human, mouse, arabidopsis, zebrafish, drosophila, and sheep. human, mouse, arabidopsis, zebrafish, drosophila, sheep, EST, mRNA, alternative splicing, genomic sequences

Proper citation: GeneNest (RRID:SCR_007677) Copy   

•   Source: SciCrunch Registry

http://zlab.bu.edu/HugeSearch/nph-HugeSearch.cgi

The Human Gene Expression Index (HuGE Index) aims to provide a comprehensive database to further our understanding of the expression of human genes in normal human tissues. mRNA expression levels of thousands of genes are obtained using high-density oligonucleotide array technology and used to create a public database. The website also provides interactive tools for researchers to query and visualize data over the Internet. To facilitate data analysis, genes are alsocross-referenced with their annotation in the LocusLink database at NCBI.

Proper citation: Human Gene Expression Index (RRID:SCR_007726) Copy   

•   Source: SciCrunch Registry

http://superfly.ucsd.edu/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 23, 2013. Homophila utilizes the sequence information of human disease genes from the NCBI OMIM (Online Mendelian Inheritance in Man) database in order to determine if sequence homologs of these genes exist in the current Drosophila sequence database (FlyBase). Sequences are compared using NCBI's BLAST program. The database is updated weekly and can be searched by human disease, gene name, OMIM number, title, subtitle and/or allelic variant descriptions.

Proper citation: Homophila (RRID:SCR_007717) Copy   

•   Source: SciCrunch Registry

https://hirnetwork.org

Network helps to organize and support collaborative research related to loss of functional beta cell mass in Type 1 Diabetes (T1D). Project consists of four independent research initiatives: Consortium on Beta Cell Death and Survival (CBDS), Consortium on Human Islet Biomimetics (CHIB), Consortium on Modeling Autoimmune Interactions (CMAI), Consortium on Targeting and Regeneration (CTAR), and Human Pancreas Analysis Program (HPAP).

Proper citation: Human Islet Research Network (HIRN) (RRID:SCR_014393) Copy   

•   Source: SciCrunch Registry

http://sonorus.princeton.edu/hefalmp/

HEFalMp (Human Experimental/FunctionAL MaPper) is a tool developed by Curtis Huttenhower in Olga Troyanskaya's lab at Princeton University. It was created to allow interactive exploration of functional maps. Functional mapping analyzes portions of these networks related to user-specified groups of genes and biological processes and displays the results as probabilities (for individual genes), functional association p-values (for groups of genes), or graphically (as an interaction network). HEFalMp contains information from roughly 15,000 microarray conditions, over 15,000 publications on genetic and physical protein interactions, and several types of DNA and protein sequence analyses and allows the exploration of over 200 H. sapiens process-specific functional relationship networks, including a global, process-independent network capturing the most general functional relationships. Looking to download functional maps? Keep an eye on the bottom of each page of results: every functional map of any kind is generated with a Download link at the bottom right. Most functional maps are provided as tab-delimited text to simplify downstream processing; graphical interaction networks are provided as Support Vector Graphics files, which can be viewed using the Adobe Viewer, any recent version of Firefox, or the excellent open source Inkscape tool.

Proper citation: Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome (RRID:SCR_003506) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/IPI

IPI provides a top level guide to the main databases (UniProtKB/Swiss-Prot, UniProtKB/TrEMBL, RefSeq, Ensembl, TAIR, H-InvDB, Vega) that describe the proteomes of higher eukaryotic organisms. IPI: :1. effectively maintains a database of cross references between the primary data sources :2. provides minimally redundant yet maximally complete sets of proteins for featured species (one sequence per transcript) :3. maintains stable identifiers (with incremental versioning) to allow the tracking of sequences in IPI between IPI releases. IPI is updated monthly in accordance with the latest data released by the primary data sources. As previously announced, the closure of IPI has been proposed for some time. Replacement data sets are now available through UniProt for human and mouse; sets for the other species contained within IPI are expected to be included as part of the UniProt release 2011_07. To allow users time to transition to using the new UniProt data sets, IPI releases will continue to be produced throughout the summer. The final release will be made in September 2011. Thereafter, the IPI website will cease to be maintained, although previous releases of the dataset will continue to be available from the FTP site. We would like to thank our users for their support and interest in this service.

Proper citation: IPI (RRID:SCR_003012) Copy   

•   Source: SciCrunch Registry

http://www.brainimmune.com/

BrainImmune is a free web-based reference that provides comprehensive and up-to-date information on the broad spectrum of medical research related to brain-immune interactions and their impact on health and disease. BrainImmune is written collaboratively by experts in the field from all around the world. Here, concise summaries of basic and clinical research describe how the brain and the immune system ''talk'' to each other in order to maintain homeostasis. BrainImmune is continually updated, with articles and opinions on history, the present state of the art, and new ideas and conceptual frameworks for the neurohormonal- and stress-immune interactions and their implications for common human diseases. Our goal in developing BrainImmune is to facilitate and advance neuroendocrine-immunology research, and the communication and collaborations in this vast interdisciplinary area.

Proper citation: BrainImmune (RRID:SCR_005418) Copy   

•   Source: SciCrunch Registry

http://psydoctor8.tumblr.com/

Called The Marquis de fMRI by Dr. Anon, NeuroPsyDoctor8 is about neurolaw and related moral cognition research, by someone who has a forensic psych type biz in NYC & then decided to pursue a neuropsych PhD. Now she uses fMRI and a side of bourbon to figure it all out.

Proper citation: NeuroPsyDoctor8 (RRID:SCR_005471) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/microarray-resource-core-bu

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 22,2024. Microarray Resource Core offers the full line of microarray products available from Affymetrix. This includes expression profiling, miRNA, exon, genotyping, resequencing, and tiling arrays. As part of our standard service, the resource provides assistance with experimental design and data analysis. Arrays for other organisms are available; please contact us for with specific requests.

Proper citation: Boston University Microarray Resource Core (RRID:SCR_012491) Copy   

•   Source: SciCrunch Registry

http://aging.brain-map.org/

The Aging, Dementia and Traumatic Brain Injury Study is a detailed neuropathologic, molecular and transcriptomic characterization of brains of control and TBI exposure cases from a unique aged population-based cohort from the Adult Changes in Thought (ACT) study. The study contains six data sets: histology and immunohistochemistry, in situ hybridization, rna-seq, protein quantification by luminex, isoprostane quantification, and specimen metadata.

Proper citation: Aging Dementia and Traumatic Brain Injury Study (RRID:SCR_014554) Copy   

•   Source: SciCrunch Registry

https://www.kaggle.com/rramele/p300samplingdataset

Dataset replicating the experiment done on BNCI-HORIZON 008-2014 dataset. BCI P300 Speller Kaggle Dataset for Healthy subjects

Proper citation: P300-Dataset (RRID:SCR_015977) Copy   

•   Source: SciCrunch Registry