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http://www.arabidopsis.org

Database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available includes the complete genome sequence along with gene structure, gene product information, metabolism, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every two weeks from the latest published research literature and community data submissions. Gene structures are updated 1-2 times per year using computational and manual methods as well as community submissions of new and updated genes. TAIR also provides extensive linkouts from data pages to other Arabidopsis resources. The data can be searched, viewed and analyzed. Datasets can also be downloaded. Pages on news, job postings, conference announcements, Arabidopsis lab protocols, and useful links are provided.

Proper citation: TAIR (RRID:SCR_004618) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/souravc/compostbin

A DNA-composition-based binning algorithm for classifying metagenomic reads. It has the ability to accurately bin raw sequence reads without need for assembly or training. It applies principal component analysis to project the data into an informative lower-dimensional space, and then uses the normalized cut clustering algorithm on this filtered data set to classify sequences into taxon-specific bins.

Proper citation: CompostBin (RRID:SCR_004619) Copy   

•   Source: SciCrunch Registry

http://www.genedb.org/Homepage/Lmajor

Database of the most recent sequence updates and annotations for the L. major genome. New annotations are constantly being added to keep up with published manuscripts and feedback from the Trypanosomatid research community. You may search by Protein Length, Molecular Mass, Gene Type, Date, Location, Protein Targeting, Transmembrane Helices, Product, GO, EC, Pfam ID, Curation and Comments, and Dbxrefs. BLAST and other tools are available. Leishmania species cause a spectrum of human diseases in tropical and subtropical regions of the world. We have sequenced the 36 chromosomes of the 32.8-megabase haploid genome of Leishmania major (Friedlin strain) and predict 911 RNA genes, 39 pseudogenes, and 8272 protein-coding genes, of which 36% can be ascribed a putative function. These include genes involved in host-pathogen interactions, such as proteolytic enzymes, and extensive machinery for synthesis of complex surface glycoconjugates. The Pathogen Genomics group at the Wellcome Trust Sanger Institute played a major role in sequencing the genome of Leishmania major (see Ivens et al.) Details of the centres involved and which chromosomes they sequenced, are given. The sequence data were obtained by adopting several parallel approaches, including complete cosmid sequencing, whole chromosome shotguns and/or BAC sequencing/skimming. The Leishmania parasite is an intracellular pathogen of the immune system targeting macrophages and dendritic cells. The disease Leishmaniasis affects the populations of 88 counties worldwide with symptoms ranging from disfiguring cutaneous and muco-cutaneous lesions that can cause widespread destruction of mucous membranes to visceral disease affecting the haemopoetic organs. In collaboration with GeneDB, the EuPathDB genomic sequence data and annotations are regularly deposited on TriTrypDB where they can be integrated with other datasets and queried using customized queries.

Proper citation: GeneDB Lmajor (RRID:SCR_004613) Copy   

•   Source: SciCrunch Registry

https://github.com/HIITMetagenomics/dsm-framework

Software package providing distributed string mining for High-Throughput Sequencing data that provides a content-based exploration and retrieval method for whole metagenome sequencing samples.

Proper citation: Distributed String Mining Framework (RRID:SCR_004736) Copy   

•   Source: SciCrunch Registry

http://bioinfo.au.tsinghua.edu.cn/subMito/

SubMito is the first computational system for predicting protein submitochondria locations from its primary sequence. SubMito is designed and implemented with Java. This site is a web-like front end for SubMito system. Users can access SubMito on the server side by uploading a FASTA file or entering sequence below. The prediction result will be saved on server, and a link to the result file will be provided. Since there may be several sessions running at the same time on the server, the responding of the server side SubMito may be very slow. Another way to use SubMito is to download a local version of the software. The online service can accept 2 forms of input. One is single sequence, the other is uploaded FASTA file. If you want to predict submitochondria location for a single sequence, you can paste your sequence in the text box. Optionally, you can choose to write some remarks in the text field labeling Enter your remark. Then, press the Submit button to perform the prediction. The result will be saved in a FASTA format file, and you can download it at any time in the coming 48 hours.

Proper citation: SubMito (RRID:SCR_004572) Copy   

•   Source: SciCrunch Registry

http://dcoe.health.mil/

The Defense Centers of Excellence for Psychological Health and Traumatic Brain Injury (DCoE) was established in November 2007 to integrate knowledge and identify, evaluate and disseminate evidence based practices and standards for the treatment of psychological health and TBI within the Defense Department. DCoE is part of the Military Health System, which provides a ''continuum of care'' from initial accession to deployment to discharge. DCoE works across the entire continuum of care to promote resilience, rehabilitation and reintegration for warriors, families and veterans with psychological health concerns and traumatic brain injuries. DCoE leads a groundbreaking collaborative effort that includes the Department of Veterans Affairs (VA), civilian agencies, community leaders, advocacy groups, clinical experts and academic institutions that are dedicated to expanding the state of knowledge of psychological health and TBI. In addition, DCoE''s Real Warriors Campaign is working to encourage help-seeking behavior for warriors with post-traumatic stress or mTBI. DCoE brings together six directorates and three centers. Their joint goal is to maximize opportunities for warriors and families to thrive through a collaborative global network to promote resilience, recovery and reintegration for PH and TBI.

Proper citation: Defense Centers of Excellence for Psychological Health and Traumatic Brain Injury (RRID:SCR_004696) Copy   

•   Source: SciCrunch Registry

http://www.the-scientist.com/

The Scientist is the magazine for life science professionalsa print and digital publication dedicated to covering a wide range of topics central to the study of cell and molecular biology, genetics, and other life-science fields. Through innovative print articles, online stories, and multimedia features, the magazine explores the latest scientific discoveries, trends in research, innovative techniques, new technology, business, and careers. It is read by leading researchers in industry and academia who value penetrating analyses and broad perspectives on life-science topics both within and beyond their areas of expertise. Written by prominent scientists and professional journalists, articles in The Scientist are concise, accurate, accessible, and entertaining.

Proper citation: The Scientist (RRID:SCR_004607) Copy   

•   Source: SciCrunch Registry

http://www.bioreclamationivt.com/

BioIVT, formerly BioreclamationIVT, is global provider of biological specimens and services. Provides biological and in vitro products specializing in control and disease state matrices manufactured from human and animal whole blood, plasma, serum, tissues and other fluids which are used in drug discovery, compound development, clinical and research diagnostics., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Bioreclamation (RRID:SCR_004728) Copy   

•   Source: SciCrunch Registry

https://tobiasrausch.com/delly/

Integrated structural variant prediction software that can detect deletions, tandem duplications, inversions and translocations at single-nucleotide resolution in short-read massively parallel sequencing data. It uses paired-ends and split-reads to sensitively and accurately delineate genomic rearrangements throughout genome.

Proper citation: DELLY (RRID:SCR_004603) Copy   

•   Source: SciCrunch Registry

http://i.cs.hku.hk/~alse/MetaCluster/

A software for binning and annotating short paired-end reads.

Proper citation: MetaCluster-TA (RRID:SCR_004599) Copy   

•   Source: SciCrunch Registry

http://eyewiki.aao.org/Main_Page

EyeWiki is an ophthalmic wiki where ophthalmologists, other physicians, patients and the public can view an eye encyclopedia of content written by ophthalmologists covering the vast spectrum of eye disease, diagnosis and treatment. Any qualified ophthalmologist, or ophthalmologist in training, is invited to contribute content to the wiki and post it immediately. Categories: *Cataract / Anterior Segment *Cornea / External Disease *Glaucoma *Miscellaneous *Neuro-ophthalmology / Orbit *Oculoplastics / Orbit *Oncology / Pathology *Pediatric Ophthalmology / Strabismus *Refractive Management / Intervention *Retina / Vitreous *Uveitis

Proper citation: EyeWiki (RRID:SCR_004595) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/nucest

Nucleotide database as collection of sequences from several sources, including GenBank, RefSeq, TPA and PDB. Genome, gene and transcript sequence data provide the foundation for biomedical research and discovery.

Proper citation: Nucleotide database (RRID:SCR_004630) Copy   

•   Source: SciCrunch Registry

http://www.ndriresource.org/NDRI_Initiatives/HBDI/36/

Database of medical history and genealogical data on over 6700 families who are affected by type 1 diabetes and a repository of DNA and immortalized cell lines collected from 500 families. This database and repository was originally created to help researchers uncover the genetic causes of type 1 diabetes but today, it is also used by researchers who study type 2 diabetes, diabetic complications, autoimmune diseases, kidney disease, and other disorders. The following resources and services are available to researchers through HBDI: * International Type 1 Diabetes Database: This database includes more than 6700 families with diabetes, related complications and other genetic diseases. There are extensive genealogical and medical histories for more than 90,000 individuals. NDRI conducts searches of the database for approved research requests. * HBDI Catalog: The catalog contains 503 family pedigrees with associated cell lines, DNA, and serum for research. Also available are HLA-typing and auto-antibody test results for diabetes families in the catalog. * HBDI Repository: The HBDI repository contains cell lines, DNA, and HLA typing information from 480 families, and frozen buffy coats from 23 families, all with Type 1 diabetes. They have recently expanded the repository to include specimens from individuals with rare diseases. * Customized Collections: NDRI will collect data from patients and physicians, conduct phone interviews and collect blood and other specimens for research on request., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Human Biological Data Interchange (RRID:SCR_004591) Copy   

•   Source: SciCrunch Registry

http://ccr.cancer.gov/careers/fellows/funding_opps.asp

http://ccr.cancer.gov/careers/fellows/funding_opps.asp

Proper citation: Center for Cancer Research (RRID:SCR_004627) Copy   

•   Source: SciCrunch Registry

http://celltypes.org/

Central repository of information on neuronal cell types mainly accumulating information on: Genetically labeled cell types in mouse brain and genetically engineered mouse lines for cell type research. Mouse lines are annotated with * Atlas for examining transgene expression patterns * Information on construct used to generate transgene * Associated publications * Anatomical regions where transgene is expressed (based on Atlas) * Information on where to obtain the animals Currently, the mouse lines in the database are mostly generated at Cold Spring Harbor Lab, Scripps Research Institute, Baylor College of Medicine and Brandeis University with few other exceptions. In the future, they will incorporate more mouse lines useful for neuronal cell type research. Cell types are annotated with * Anatomical region * Properties (frequently used terms in neuroscience research) * Mouse line used to define the cell type * Genome wide transcriptome data (if available) * Specific (marker) genes (if available) * Marker immunostaining data (if available) * Associated publications * Electrophysiological characterizations (when available) * Morphological characterizations (when available)

Proper citation: celltypes.org (RRID:SCR_004545) Copy   

•   Source: SciCrunch Registry

http://www.aftol.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented Jan 13, 2022; To enhance the understanding of the evolution of the Kingdom Fungi, 1500+ species were sampled for eight gene loci across all major fungal clades, plus a subset of taxa for a suite of morphological and ultrastructural characters with resulting data: AFTOL Molecular Database (generated by WASABI - Web Accessible Sequence Analysis for Biological Inference), Blast search the AFTOL Database (generated by WASABI), AFTOL primers (generated by WASABI), AFTOL primers by species (generated by WASABI), AFTOL alignments, and the AFTOL Structural and Biochemical Database. Users may submit samples to the AFTOL project. AFTOL is a collaboration centered around four universities in the United States: Duke University (Francois Lutzoni and Rytas Vilgalys), Clark University (David Hibbett), Oregon State University (Joey Spatafora), and University of Minnesota (David McLaughlin). Participants throughout the world have donated vouchers, taxon samples, and gene sequences. The aim of the project is to reconstruct the fungal tree of life using all available data for eight loci (nuclear ribosomal DNA: LSU, SSU, ITS (including 5.8s, ITS1 and ITS2); RNA polymerase II: RPB1, RPB2; elongation factor 1-alpha; mitochondrial SSU rDNA, and mitochondrial ATP synthase protein subunit 6). A further objective of this study is to summarize and integrate current knowledge regarding fungal subcellular features within this new phylogenetic framework. The name of the bioinformatic package developed for AFTOL is WASABI which provides an efficient communication platform to facilitate the collection and dissemination of molecular data to (and from) the laboratories and participants. All molecular data can be viewed, downloaded, verified, and corrected by the participants of AFTOL. A central goal of the WASABI interface is to establish an automated analysis framework that includes basecalling of newly generated chromatograms, contig assembly, quality verification of sequences (including a local BLAST), sequence alignment, and congruence test. Gene sequences that pass all tests and are finally verified by their authors will undergo automated phylogenetic analysis on a regular schedule. Although all steps are initially carried out noninteractively, the users can verify and correct the results at any step and thus initiate the reanalysis of dependent data.

Proper citation: AFTOL (RRID:SCR_004650) Copy   

•   Source: SciCrunch Registry

http://em.emory.edu/protect/index.cfm

Recently, our team completed an NINDS-funded, Phase IIa double-blinded, placebo-controlled pilot clinical trial that examined the pharmacokinetics, safety, and activity of progesterone, a steroid found to have powerful neuroprotective effects in multiple animal models of brain injury. Our pilot study demonstrated a 50% reduction in death among severe TBI patients and less disability among moderate TBI patients treated with progesterone. Based on these promising results and supportive preclinical data, we are conducting a large, phase III clinical trial (ProTECT III) to definitively assess the safety and efficacy of this treatment for adults with moderate to severe acute TBI. The study is slated to begin August 2008. WHY Progesterone: Although progresterone is widely considered a sex steroid, it is also a potent neurosteroid. Progesterone is naturally synthesized in the CNS. A large and growing body of animal studies indicate that early administration of progesterone after TBI reduces cerebral edema, neuronal loss, and behavioral deficits in laboratory animals. Certain properties of progesterone make it an ideal therapeutic candidate. First, in contrast to most drugs tested to date, progesterone rapidly enters the brain and reaches equilibrium with the plasma within an hour of administration. Second, unlike other experimental agents, progesterone has a long history of safe use in humans. Finally, the findings of our pilot clinical trial (presented in the Preliminary Data Section, below) indicate that progesterone has consistent and predictable pharmacokinetic properties, is unlikely to produce harm, and may be efficacious for treating acute TBI in humans.

Proper citation: ProTECT (RRID:SCR_004531) Copy   

•   Source: SciCrunch Registry

https://computation-rnd.llnl.gov/lmat/

Open-source software tool to assign taxonomic labels to as many reads as possible in very large metagenomic datasets and report the taxonomic profile of the input sample. The quick "single pass" analysis of every read allows read binning to support additional more computationally expensive analysis such as metagenomic assembly or sensitive database searches on targeted subsets of reads.

Proper citation: LMAT (RRID:SCR_004646) Copy   

•   Source: SciCrunch Registry

http://www.diabetes.org/

The mission of the American Diabetes Association (ADA) is to prevent and cure diabetes and to improve the lives of all people affected by diabetes. We lead the fight against the deadly consequences of diabetes and fight for those affectedby diabetes. * We fund research to prevent, cure and manage diabetes. * We deliver services to hundreds of communities. * We provide objective and credible information. * We give voice to those denied their rights because of diabetes.

Proper citation: American Diabetes Association (RRID:SCR_004526) Copy   

•   Source: SciCrunch Registry

http://www.proteopedia.org/

Free, collaborative 3D, interactive encyclopedia of proteins and other molecules, it collects, organizes and disseminates structural and functional knowledge about protein, RNA, DNA, and other macromolecules, and their assemblies and interactions with small molecules, in a manner that is relevant and broadly accessible to students and scientists. With a free user account, users can edit pages in Proteopedia. Click on the green links to change the 3D image or click and drag the molecules. Categories include Diseases & Related Topics, Enzymes, Gene Expression & Replication, Metabolism, Signaling & Transport, Structural Biology and Miscellaneous. Currently, Proteopedia has 93,912 articles (pages), and 2,366 registered users (May 2013). Among other pages, Proteopedia contains one page (or article) for every entry in the World Wide Protein Data Bank. Proteopedia is updated weekly with new entries shortly after they are released by the Protein Data Bank. Most of these pages, which are titled with a four-character PDB identification code, are seeded automatically to include a default view of the asymmetric unit, the abstract of the publication, green links to sites and ligands, and molecule-specific links to other viewers and databases. When you go to a random page, you nearly always get one of these automatically-seeded, PDB-code-titled pages (click Random Page in the navigation box at the upper left), because of their abundance. In addition to one article about each entry in the Protein Data Bank (PDB identification code-titled articles), there are articles titled with the name of a molecule or a subject, instead of a PDB identification code. Some of these articles that have substantial content are listed at Topic Pages, or you can browse a complete list of articles not titled with a PDB identification code. There are also articles About Macromolecular Structure.

Proper citation: Proteopedia - Life in 3D (RRID:SCR_004647) Copy   

•   Source: SciCrunch Registry