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http://www.psort.org

Portal to the PSORT family of computer programs for the prediction of protein localization sites in cells, as well as other datasets and resources relevant to localization prediction. The standalone versions are available for download for larger analyses.

Proper citation: Psort (RRID:SCR_007038) Copy   

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http://www.theassc.org/

An academic society that promotes rigorous research directed toward understanding the nature, function, and underlying mechanisms of consciousness. The ASSC includes members working in the fields of cognitive science, medicine, neuroscience, philosophy, and other relevant disciplines in the sciences and humanities.
The ASSC web site has several main functions:
* coordinating annual conferences on aspects of the scientific study of consciousness.
* promotion of other activities in the field (smaller conferences, mailing lists, bibliographic resource, etc).
* facilitate consciousness research with awards for new investigators.
* publication of papers relevant to the scientific study of consciousness in the inter-disciplinary journal Psyche.
The ASSC Students community''s aim is to foster greater involvement of graduate students within the Association for the Scientific Study of Consciousness (ASSC) and improve ways in which the ASSC serves the needs of its student members. Its primary goal is to promote research and debate about consciousness among new researchers.
It organizes activities like the current essay contest, details of which are on the news page. It also manage the student pages of the ASSC website and conduct occasional surveys of the ASSC student members.

Proper citation: Association for the Scientific Study of Consciousness (RRID:SCR_007154) Copy   

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http://primers.niob.knaw.nl/

This automatic primer design service uses the Primer3 Software (through EMBOSS primer3 interface) to design two sets of primers for doing a nested PCR. The input can either be in Fasta format or in GENOTRACE output format. You will have to indicate with square brackets which region should be included in the amplicon. Primers for multiple amplicons (for example all exons) can be designed in a single run.

Proper citation: Automatic Primer Design (RRID:SCR_007155) Copy   

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http://www.parkinsons.org.uk/content/parkinsons-uk-brain-bank

A brain bank of the United Kingdom which collects human brains for Parkinsons disease research. The collection is comprised of brain, spinal cord and a sample of cerebrospinal fluid from people with and without Parkinson's after death. Researchers can fill out a brain tissue request form to order samples from the bank.

Proper citation: Parkinsons UK Brain Bank (RRID:SCR_007030) Copy   

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http://www.nervenet.org/main/dictionary.html

A mouse-related portal of genomic databases and tables of mouse brain data. Most files are intended for you to download and use on your own personal computer. Most files are available in generic text format or as FileMaker Pro databases. The server provides data extracted and compiled from: The 2000-2001 Mouse Chromosome Committee Reports, Release 15 of the MIT microsatellite map (Oct 1997), The recombinant inbred strain database of R.W. Elliott (1997) and R. W. Williams (2001), and the Map Manager and text format chromosome maps (Apr 2001). * LXS genotype (Excel file): Updated, revised positions for 330 markers genotyped using a panel of 77 LXS strain. * MIT SNP DATABASE ONLINE: Search and sort the MIT Single Nucleotide Polymorphism (SNP) database ONLINE. These data from the MIT-Whitehead SNP release of December 1999. * INTEGRATED MIT-ROCHE SNP DATABASE in EXCEL and TEXT FORMATS (1-3 MB): Original MIT SNPs merged with the new Roche SNPs. The Excel file has been formatted to illustrate SNP haplotypes and genetic contrasts. Both files are intended for statistical analyses of SNPs and can be used to test a method outlined in a paper by Andrew Grupe, Gary Peltz, and colleagues (Science 291: 1915-1918, 2001). The Excel file includes many useful equations and formatting that will help in navigating through this large database and in testing the in silico mapping method. * Use of inbred strains for the study of individual differences in pain related phenotypes in the mouse: Elissa J. Chesler''s 2002 dissertation, discussing issues relevant to the integration of genomic and phenomic data from standard inbred strains including genetic interactions with laboratory environmental conditions and the use of various in silico inbred strain haplotype based mapping algorithms for QTL analysis. * SNP QTL MAPPER in EXCEL format (572 KB, updated January 2002 by Elissa Chesler): This Excel workbook implements the Grupe et al. mapping method and outputs correlation plots. The main spreadsheet allows you to enter your own strain data and compares them to haplotypes. Be very cautious and skeptical when using this spreadsheet and the technique. Read all of the caveates. This excel version of the method was developed by Elissa Chesler. This updated version (Jan 2002) handles missing data. * MIT SNP Database (tab-delimited text format): This file is suitable for manipulation in statistics and spreadsheet programs (752 KB, Updated June 27, 2001). Data have been formatted in a way that allows rapid acquisition of the new data from the Roche Bioscience SNP database. * MIT SNP Database (FileMaker 5 Version): This is a reformatted version of the MIT Single Nucleotide Polymorphism (SNP) database in FileMaker 5 format. You will need a copy of this application to open the file (Mac and Windows; 992 KB. Updated July 13, 2001 by RW). * Gene Mapping and Map Manager Data Sets: Genetic maps of mouse chromosomes. Now includes a 10th generation advanced intercross consisting of 500 animals genetoyped at 340 markers. Lots of older files on recombinant inbred strains. * The Portable Dictionary of the Mouse Genome, 21,039 loci, 17,912,832 bytes. Includes all 1997-98 Chromosome Committee Reports and MIT Release 15. * FullDict.FMP.sit: The Portable Dictionary of the Mouse Genome. This large FileMaker Pro 3.0/4.0 database has been compressed with StuffIt. The Dictionary of the Mouse Genome contains data from the 1997-98 chromosome committee reports and MIT Whitehead SSLP databases (Release 15). The Dictionary contains information for 21,039 loci. File size = 4846 KB. Updated March 19, 1998. * MIT Microsatellite Database ONLINE: A database of MIT microsatellite loci in the mouse. Use this FileMaker Pro database with OurPrimersDB. MITDB is a subset of the Portable Dictionary of the Mouse Genome. ONLINE. Updated July 12, 2001. * MIT Microsatellite Database: A database of MIT microsatellite loci in the mouse. Use this FileMaker Pro database with OurPrimersDB. MITDB is a subset of the Portable Dictionary of the Mouse Genome. File size = 3.0 MB. Updated March 19, 1998. * OurPrimersDB: A small database of primers. Download this database if you are using numerous MIT primers to map genes in mice. This database should be used in combination with the MITDB as one part of a relational database. File size = 149 KB. Updated March 19, 1998. * Empty copy (clone) of the Portable Dictionary in FileMaker Pro 3.0 format. Download this file and import individual chromosome text files from the table into the database. File size = 231 KB. Updated March 19, 1998. * Chromosome Text Files from the Dictionary: The table lists data on gene loci for individual chromosomes.

Proper citation: Mouse Genome Databases (RRID:SCR_007147) Copy   

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http://www.improvision.com

PerkinElmer designs, manufactures and delivers advanced technology solutions that address the world''s most critical health and safety concerns, including maternal and fetal health, clean water and air, and safe food and toys. It''s expertise combines science, innovation and a culture of operational excellence to offer our customers technology services and support that improve the quality of people''s lives worldwide.

Proper citation: Cellular Imaging and Analysis (RRID:SCR_007149) Copy   

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http://med.stanford.edu/narcolepsy.html

The Stanford Center for Narcolepsy was established in the 1980s as part of the Department of Psychiatry and Behavioral Sciences. Today, it is the world leader in narcolepsy research with more than 100 articles on narcolepsy to its name. The Stanford Center for Narcolepsy was the first to report that narcolepsy-cataplexy is caused by hypocretin (orexin) abnormalities in both animal models and humans. Under the direction of Drs. Emmanuel Mignot and Seiji Nishino, the Stanford Center for Narcolepsy today treats several hundred patients with the disorder each year, many of whom participate in various research protocols. Other research protocols are conducted in animal models of narcolespy. We are always looking for volunteers in our narcolepsy research studies. We are presently recruiting narcoleptic patients for genetic studies, drug clinical trials, hypocretin measurement studies in the CSF and functional MRI studies. Monetary gifts to the Center for Narcolepsy are welcome. If you wish to make the ultimate gift, please consider participating in our Brain Donation Program. To advance our understanding of the cause, course, and treatment of narcolepsy, in 2001 Stanford University started a program to obtain human brain tissue for use in narcolepsy research. Donated brains provide an invaluable resource and we have already used previously donated brains to demonstrate that narcolepsy is caused by a lack of a very specific type of cell in the brain, the hypocretin (orexin) neuron. While the brain donations do not directly help the donor, they provide an invaluable resource and a gift to others. The real answers as to what causes or occurrs in the brain when one has narcolepsy will only be definitively understood through the study of brain tissue. Through these precious donations, narcolepsy may eventually be prevented or reversible. We currently are seeking brains from people with narcolepsy (with cataplexy and without), idiopathic hypersomnia and controls or people without a diagnosed sleep disorder of excessive sleepiness. Control brains are quite important to research, as findings must always be compared to tissue of a non-affected person. Friends and loved ones of people who suffer with narcoleps may wish to donate to our program to help fill this very important need. Refer to the Movies tab for movies of Narcolepsy / Cataplexy.

Proper citation: Stanford Center for Narcolepsy (RRID:SCR_007021) Copy   

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http://prodom.prabi.fr/

Comprehensive set of protein domain families automatically generated from UniProt Knowledge Database. Automated clustering of homologous domains generated from global comparison of all available protein sequences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ProDom (RRID:SCR_006969) Copy   

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http://www.ebi.ac.uk/thornton-srv/databases/WSsas/

SAS is a tool for applying structural information to a given protein sequence. It uses FASTA to scan a given protein sequence against all the proteins of known 3D structure in the Protein Data Bank and provides functional residue annotation based on data from the Catalytic Site Atlas and PDBsum. The web service is aimed to facilitate the use of the SAS tool when having a huge number of queries. Currently, the web service provides annotation for binding sites (to ligand, metal or nucleic acid), catalytic residues and amino acids related to protein-protein interactions.

Proper citation: WSsas - Web Service for the SAS tool (RRID:SCR_007051) Copy   

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http://ardb.cbcb.umd.edu

The goals of Antibiotic Resistance Genes Database (ARGB) are to provide a centralized compendium of information on antibiotic resistance, to facilitate the consistent annotation of resistance information in newly sequenced organisms, and also to facilitate the identification and characterization of new genes. ARGB contains six types of database groups: - Resistance Type: This database contains information, such as resistance profile, mechanism, requirement, epidemiology for each type. - Resistance Gene: This database contains information, such as resistance profile, resistance type, requirement, protein and DNA sequence for each gene.This database only includes NON-REDUNDANT, NON-VECTOR, COMPLETE genes. - Antibiotic: This database contains information, such as producer, action mechanism, resistance type, for each gene. - Resistance Gene(NonRD): This database contains the same information as Resistance Gene. It does NOT include NON-REDUNDANT, NON-VECTOR genes, but includes INCOMPLETE genes. - Resistance Gene(ALL): This database contains the same information as Resistance Gene. It includes all REDUNDANT, VECTOR AND INCOMPLETE genes. - Resistance Species: This database contains resistance profile and corresponding resistance genes for each species. Furthermore, ARDB also contians three types BLAST database: - Resistance Genes Complete: Contains only NON-REDUNDANT, NON-VECTOR, COMPLETE genes sequences. - Resistance Genes Non-redundant: Contains NON-REDUNDANT, NON-VECTOR, COMPLETE, INCOMPLETE genes sequences. - Resistance Genes All: Contains all REDUNDANT, VECTOR, COMPLETE, INCOMPLETE genes sequences. Lastly, ARDB provides four types of Analytical tools: - Normal BLAST: This function allows an user to input a DNA or protein sequence, and find similar DNA (Nucleotide BLAST) or protein (Protein BLAST) sequences using blastn, blastp, blastx, tblastn, tblastx - RPS BLAST: A web RPSBLAST (RPS BLAST) interface is provided to align a query sequence against the Position Specific Scoring Matrix (PSSM) for each type. Normally, this will give the same annotation information as using regular BLAST mentioned above. - Multiple Sequences BLAST (Genome Annotation): This function allows an user to annotate multiple (less than 5000) query sequences in FASTA format. - Mutation Resistance Identification: This function allows an user to identify mutations that will cause potential antibiotic resistance, for 12 genes (16S rRNA, 23S rRNA, gyrA, gyrB, parC, parE, rpoB, katG, pncA, embB, folP, dfr). ������ :Sponsors: ARDB is funded by Uniformed Services University of the Health Sciences, administered by the Henry Jackson Foundation. :

Proper citation: Antibiotic Resistance Genes Database (RRID:SCR_007040) Copy   

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http://xin.cz3.nus.edu.sg/group/drt/dart.asp

Database that provides comprehensive information about adverse effect targets of drugs described in the literature, including information about known drug adverse reaction targets, functions and properties. Moreover, proteins involved in adverse effect targets of chemicals not yet confirmed as adverse drug reaction (ADR) targets are also included as potential targets. Associated references are also included. This database gives physiological function of each target, binding drugs / agonists / antagonists / activators / inhibitors, IC(50) values of the inhibitors, corresponding adverse effects, and type of ADR induced by drug binding to a target. Cross-links to other databases are also introduced to facilitate the access of information about the sequence, 3-dimensional structure, function, and nomenclature of each target along with drug/ligand binding properties, and related literature. Each entry can be retrieved through multiple search methods including target name, target physiological function, adverse effect, ligand name, and biological pathways. A special page is provided for contribution of new or additional information. Function for ADR-target prediction by SVMDART: Submit protein primary sequence for ADR-related protein prediction.

Proper citation: DART - Drug Adverse Reaction Targets (RRID:SCR_007041) Copy   

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http://geneontology.org/docs/tools-overview/

Collection of tools developed by GO Consortium and by third parties. Tools are listed by category or alphabetically and continue to be improved and expanded.

Proper citation: Gene Ontology Tools (RRID:SCR_006941) Copy   

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http://www.ecolicommunity.org/

Sixty years of study have made Escherichia coli K-12 the most deeply understood organism at the molecular level. Much of what we know about cellular processes can be traced to fundamental discoveries in E. coli. In spite of its great importance as a model organism, information about E. coli is distributed among many online resources. EcoliHub uses web services that are being developed to make seamless bidirectional connections between E. coli resources, thereby enabling the full use of existing knowledge and supporting cutting-edge research into the molecular basis of life. :topical portal;

Proper citation: EcoliHub (RRID:SCR_007114) Copy   

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http://www.genoscope.cns.fr/externe/tetraodon/

The initial objective of Genoscope was to compare the genomic sequences of this fish to that of humans to help in the annotation of human genes and to estimate their number. This strategy is based on the common genetic heritage of the vertebrates: from one species of vertebrate to another, even for those as far apart as a fish and a mammal, the same genes are present for the most part. In the case of the compact genome of Tetraodon, this common complement of genes is contained in a genome eight times smaller than that of humans. Although the length of the exons is similar in these two species, the size of the introns and the intergenic sequences is greatly reduced in this fish. Furthermore, these regions, in contrast to the exons, have diverged completely since the separation of the lineages leading to humans and Tetraodon. The Exofish method, developed at Genoscope, exploits this contrast such that the conserved regions which can be identified by comparing genomic sequences of the two species, correspond only to coding regions. Using preliminary sequencing results of the genome of Tetraodon in the year 2000, Genoscope evaluated the number of human genes at about 30,000, whereas much higher estimations were current. The progress of the annotation of the human genome has since supported the Genoscope hypothesis, with values as low as 22,000 genes and a consensus of around 25,000 genes. The sequencing of the Tetraodon genome at a depth of about 8X, carried out as a collaboration between Genoscope and the Whitehead Institute Center for Genome Research (now the Broad Institute), was finished in 2002, with the production of an assembly covering 90 of the euchromatic region of the genome of the fish. This has permitted the application of Exofish at a larger scale in comparisons with the genome of humans, but also with those of the two other vertebrates sequenced at the time (Takifugu, a fish closely related to Tetraodon, and the mouse). The conserved regions detected in this way have been integrated into the annotation procedure, along with other resources (cDNA sequences from Tetraodon and ab initio predictions). Of the 28,000 genes annotated, some families were examined in detail: selenoproteins, and Type 1 cytokines and their receptors. The comparison of the proteome of Tetraodon with those of mammals has revealed some interesting differences, such as a major diversification of some hormone systems and of the collagen molecules in the fish. A search for transposable elements in the genomic sequences of Tetraodon has also revealed a high diversity (75 types), which contrasts with their scarcity; the small size of the Tetraodon genome is due to the low abundance of these elements, of which some appear to still be active. Another factor in the compactness of the Tetraodon genome, which has been confirmed by annotation, is the reduction in intron size, which approaches a lower limit of 50-60 bp, and which preferentially affects certain genes. The availability of the sequences from the genomes of humans and mice on one hand, and Takifugu and Tetraodon on the other, provide new opportunities for the study of vertebrate evolution. We have shown that the level of neutral evolution is higher in fish than in mammals. The protein sequences of fish also diverge more quickly than those of mammals. A key mechanism in evolution is gene duplication, which we have studied by taking advantage of the anchoring of the majority of the sequences from the assembly on the chromosomes. The result of this study speaks strongly in favor of a whole genome duplication event, very early in the line of ray-finned fish (Actinopterygians). An even stronger evidence came from synteny studies between the genomes of humans and Tetraodon. Using a high-resolution synteny map, we have reconstituted the genome of the vertebrate which predates this duplication - that is, the last common ancestor to all bony vertebrates (most of the vertebrates apart from cartilaginous fish and agnaths like lamprey). This ancestral karyotype contains 12 chromosomes, and the 21 Tetraodon chromosomes derive from it by the whole genome duplication and a surprisingly small number of interchromosomal rearrangements. On the contrary, exchanges between chromosomes have been much more frequent in the lineage that leads to humans. Sponsors: The project was supported by the Consortium National de Recherche en Genomique and the National Human Genome Research Institute.

Proper citation: Tetraodon Genome Browser (RRID:SCR_007079) Copy   

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http://pharmacology.uthscsa.edu/

The Department of Pharmacology at the Health Science Center at San Antonio is uniquely positioned to carry out research into the most relevant areas in pharmacology as well as to deliver superior training in pharmacology. Our faculty use approaches that range from the molecular and cellular through electrophysiology and systems to behavior. The Department of Pharmacology at the University of Texas Health Science Center at San Antonio (UTHSCSA) has 18 tenure-track or tenured faculty, 11 research-track faculty, 15 graduate students, and 15 postdoctoral fellows. We are very excited about recent developments in pharmacology that allow new and challenging means of exploring the biological effects of drugs. Graduate studies leading to a Doctor of Philosophy degree in the basic biomedical sciences at UTHSCSA are offered in the Integrated Multidisciplinary Graduate Program (IMGP). The Department of Pharmacology administers two tracks within the IMGP: the pharmacology track and the neuroscience track. The Department of Pharmacology has a ten-week summer research program that offers participants a variety of experiences that will help prepare them for success in research-intensive doctoral programs. Participants will have research responsibilities, attend seminars, actively participate in a student journal club and take part in formal course work. Prior research experience is not necessary, and students of all undergraduate levels are encouraged to apply.

Proper citation: University of Texas Health Science Center at San Antonio Department of Pharmacology (RRID:SCR_007078) Copy   

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http://ajp.psychiatryonline.org/audio.aspx

An audio summary of highlights and key articles from each issue of The American Journal of Psychiatry. Users may subscribe to the podcast to get automatic updates with each issue or download each issue''s audio file individually.

Proper citation: American Journal of Psychiatry Podcasts (RRID:SCR_007070) Copy   

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http://medgen.ugent.be/rtprimerdb/

Database for primer and probe sequences used in real-time PCR assays employing popular chemistries (SYBR Green I, Taqman, Hybridization Probes, Molecular Beacon) to prevent time-consuming primer design and experimental optimization, and to introduce a certain level of uniformity and standardization among different laboratories. Researchers are encouraged to submit their validated primer and probe sequence, so that other users can benefit from their expertise. The database can be queried using the official gene name or symbol, Entrez or Ensembl Gene identifier, SNP identifier, or oligonucleotide sequence. Different options make it possible to restrict a query to a particular application (Gene Expression Quantification/Detection, DNA Copy Number Quantification/Detection, SNP Detection, Mutation Analysis, Fusion Gene Quantification/Detection, Chromatin immunoprecipitation (ChIP)), organism (Human, Mouse, Rat, and others) or detection chemistry.

Proper citation: RTPrimerDB- The Real-Time PCR and Probe Database (RRID:SCR_007106) Copy   

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http://www.bmu.psychiatry.cam.ac.uk/software/

Suite of programs developed for fMRI analysis in a Virtual Pipeline Laboratory facilitates combining program modules from different software packages into processing pipelines to create analysis solutions which are not possible with a single software package alone. Current pipelines include fMRI analysis, statistical testing based on randomization methods and fractal spectral analysis. Pipelines are continually being added. The software is mostly written in C. This fMRI analysis package supports batch processing and comprises the following general functions at the first level of individual image analysis: movement correction (interpolation and regression), time series modeling, data resampling in the wavelet domain, hypothesis testing at voxel and cluster levels. Additionally, there is code for second level analysis - group and factorial or ANOVA mapping - after co-registration of voxel statistic maps from individual images in a standard space. The main point of difference from other fMRI analysis packages is the emphasis throughout on the use of data resampling (permutation or randomization) as a basis for inference on individual, group and factorial test statistics at voxel and cluster levels of resolution.

Proper citation: Cambridge Brain Activation (RRID:SCR_007109) Copy   

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http://weizhong-lab.ucsd.edu/cd-hit/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software program for clustering biological sequences with many applications in various fields such as making non-redundant databases, finding duplicates, identifying protein families, filtering sequence errors and improving sequence assembly etc. It is very fast and can handle extremely large databases. CD-HIT helps to significantly reduce the computational and manual efforts in many sequence analysis tasks and aids in understanding the data structure and correct the bias within a dataset. The CD-HIT package has CD-HIT, CD-HIT-2D, CD-HIT-EST, CD-HIT-EST-2D, CD-HIT-454, CD-HIT-PARA, PSI-CD-HIT, CD-HIT-OTU and over a dozen scripts. * CD-HIT (CD-HIT-EST) clusters similar proteins (DNAs) into clusters that meet a user-defined similarity threshold. * CD-HIT-2D (CD-HIT-EST-2D) compares 2 datasets and identifies the sequences in db2 that are similar to db1 above a threshold. * CD-HIT-454 identifies natural and artificial duplicates from pyrosequencing reads. * CD-HIT-OTU cluster rRNA tags into OTUs The usage of other programs and scripts can be found in CD-HIT user''s guide. CD-HIT was originally developed by Dr. Weizhong Li at Dr. Adam Godzik''s Lab at the Burnham Institute (now Sanford-Burnham Medical Research Institute)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CD-HIT (RRID:SCR_007105) Copy   

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http://ncmir.ucsd.edu/downloads/combine_rts2000.shtm

Software program that performs the auto-alignment and the composition of images to create the mosaic.

Proper citation: Combine RTS2000 (RRID:SCR_007104) Copy   

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