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http://brainwindows.wordpress.com/

Blog devoted to reporting, analyzing and interpreting the latest results in the field of brain imaging technologies, particularly at the levels of systems, circuits, single cells and below. The site content is produced by Andrew Hires.

Proper citation: Brain Windows (RRID:SCR_001226) Copy   

•   Source: SciCrunch Registry
  

http://www.dian-info.org/default.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. An international research partnership of leading scientists determined to understand a rare form of Alzheimers disease that is caused by a gene mutation and to establish a research database and tissue repository to support research on Alzheimers disease by other investigators around the world. One goal of DIAN is to study possible brain changes that occur before Alzheimers disease is expressed in people who carry an Alzheimers disease mutation. Other family members without a mutation will serve as a comparison group. People in families in which a mutation has been identified will be tracked in order to detect physical or mental changes that might distinguish people who inherited the mutation from those who did not. DIAN currently involves eleven outstanding research institutions in the United States, United Kingdom, and Australia. John C. Morris, M.D., Friedman Distinguished Professor of Neurology at Washington University School of Medicine in St. Louis, is the principal investigator of the project., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: DIAN - Dominantly Inherited Alzheimer Network (RRID:SCR_000812) Copy   

•   Source: SciCrunch Registry
  

http://spaserver.ridom.de/

Database of information of spa-typing of MRSA, or Staphylococcus aureus, that can be used to collate and harmonize data from various geographic regions.

Proper citation: Ridom SpaServer (RRID:SCR_001460) Copy   

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http://www.jisc.ac.uk/blog/

A blog of up-to-the-minute insights into the innovative use of technology in further and higher education.

Proper citation: JISC Blog (RRID:SCR_000928) Copy   

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http://bioinformatics.oxfordjournals.org/content/21/19/3806.long

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 26, 2016. A data environment for computational research in comparative and functional genomics, designed to address issues of consistency, reproducibility, scalability and accessibility., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CoGenT++ (RRID:SCR_000249) Copy   

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https://researchcores.partners.org/tbr/about

A repository which provides specimen acquisition, processing and storage services, and access to archived frozen tissue specimens to the BWH/MGH/DFCI research community.

Proper citation: BWH Partners Tissue and Blood Repository (RRID:SCR_000125) Copy   

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https://www.thermofisher.com/us/en/home/brands/thermo-scientific/molecular-biology.html#/legacy=fermentas.com

Web-based resource that provides an integrated set of tools for DNA sequence anlaysis, plasmid map creation, sequence viewing, and various biochemical calculations.

Proper citation: REviewer - sequence analysis tools (RRID:SCR_001336) Copy   

•   Source: SciCrunch Registry
  

http://www.cpctr.net/

THIS RESOURCE IS NO LONGER IN SERVICE. Doumented on September 23,2022. The National Cancer Institute initially established the Cooperative Prostate Cancer Tissue Resource (CPCTR) to provide prostate cancer tissue samples with clinical annotation to researchers. The Resource provides access to formalin-fixed, paraffin-embedded primary prostate cancer tissue with associated clinical and follow-up data for research studies, particularly studies focused on translating basic research findings into clinical application. Fresh-frozen tissue is also available with limited clinical follow up information since these are more recent cases. The Resource database contains pathologic and clinical information linked to a large collection of prostate tissue specimens that is available for research. Researchers can determine whether the Resource has the tissues and patient data they need for their individual research studies. Consultation and interpretive services: Assistance is available from trained CPCTR pathologists. The CPCTR can provide consultative assistance in staining interpretation, and scoring, on a collaborative basis. Fresh Frozen and Paraffin Tissue: The resource has over 7,000 annotated cases (including 7,635 specimens and 38,399 annotated blocks). Tissue Microarrays (TMA): The CPCTR has slides from prostate cancer TMAs with associated clinical data. The information provided for each case on the arrays (derived from radical prostatectomy specimens) includes: age at diagnosis, race, PSA at diagnosis, tumor size, TNM stage, Gleason score and grade, and vital status and other variables.

Proper citation: CPCTR: Cooperative Prostate Cancer Tissue Resource (RRID:SCR_000803) Copy   

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http://compbio.dfci.harvard.edu/amp/

THIS RESOURCE IS NO LONGER IN SERVICE, documented November 4, 2015. Web application based on the TM4 Microarray Software Suite to provide a means of normalization and analysis of microarray data. Users can upload data in the form of Affymetrix CEL files, and define an analysis pipeline by selecting several intuitive options. It performs data normalization (eg RMA), basic statistical analysis (eg t-test, ANOVA), and analysis of annotation using gene classification (eg Gene Ontology term assignment). The analysis are performed without user intervention and the results are presented in a web-based summary that allows data to be downloaded in a variety of formats compatible with further directed analysis.

Proper citation: Automated Microarray Pipeline (RRID:SCR_001219) Copy   

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http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastp&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome

Data analysis service whose programs search protein databases using a protein query. The algorithms used include blastp, psi-blast, phi-blast, and delta-blast.

Proper citation: BLASTP (RRID:SCR_001010) Copy   

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http://blogs.plos.org/

PLoS Blogs has been set up to bring a select group of independent science and medicine bloggers together with the editors and staff who run our blogs. Our independent network is made up of writers who love science and medicine, and scientists and physicians that love to write. Here, you'll find an equal mix of blogs from journalists and researchers tackling diverse issues in science and medicine. There are three very distinct types of blogs on the PLoS Blogs network: the official PLoS blog, the PLoS journal blogs (collectively known as The PLoS Blogs), and blogs from the independent network (a.k.a. The PLoS Blogosphere) # The official PLoS blog: This content is produced, edited, and/or maintained by PLoS staff. # The journal blogs: This content is produced, edited, and/or maintained by PLoS journal staff: The current journal blogs are Speaking of Medicine (PLoS Medicine's blog) and everyONE (PLoS ONE's blog). # Our independent network of bloggers (The PLoS Blogosphere): This content is produced, edited, and/or maintained by the authors. * All of the content in The PLoS Blogosphere came from the minds of the authors. PLoS does not screen, edit, or otherwise meddle with content on the these blogs in any way. Our bloggers and our users are held to exactly the same standards, and the community guidelines apply to everyone that uses our site. If a blogger has posted content that you believe violates our site abuse policy, please contact PLoS. * Bloggers monitor their own comment threads: All comments will be reviewed by the author of the blog where you leave your thoughts. Just follow our simple community guidelines and we'll all get along just fine.

Proper citation: PLoS Blogs (RRID:SCR_001371) Copy   

•   Source: SciCrunch Registry
  

https://fungi.ensembl.org/Neurospora_crassa/Info/Index

It's strategy involves Whole Genome Shotgun (WGS) sequencing, in which sequence from the entire genome is generated and reassembled. This method is standard for microbial genome sequencing, and has been successfully applied to Drosophila. Neurospora is an ideal candidate for this approach because of the low repeat content of the genome. Neurospora crassa Database has expanded the scope of its database by including a mitochondrial annotation, incorporating information from the Neurospora compendium, and assigning NCU numbers to tRNA and rRNAs. They have improved the annotation process to predict untranslated regions and to reduce the number of spurious predictions. As a result, version 3 contains 9,826 genes, 794 fewer than version 2. During the initial phase of a WGS project they sequence both ends of the 4 kb inserts from a plasmid library prepared using randomly sheared and sized-selected DNA. The shotgun reads are assembled by recognizing overlapping regions of sequence and making use of the knowledge of the orientation and distance of the paired reads from each plasmid. Obtaining deep sequence coverage though high levels of sequence redundancy assures that the majority of the genome is represented in the initial assembly and that the consensus sequence is of high quality. Their approach toward the initial assembly was conservative, meaning they would rather fail to join sequence contigs that might overlap each other than risk making false joins between two closely related but non-overlapping genomic regions. Hence, the initial assembly contains many sequence contigs and over time these contigs will increase in size and decrease in number as they are joined together. After shotgun sequencing and assembly there was a second phase of sequencing in which additional sequence was obtained from specific regions that were missing from the original assembly or are recognized to be of low quality in the consensus. The Neurospora crassa sequencing project reflects a close collaboration between the Broad Institute and the Neurospora research community. Principal investigators include Bruce Birren and Chad Nusbaum from the Broad Institute, Matt Sachs at the Oregon Graduate Institute of Science and Technology, Chuck Staben at the University of Kentucky and Jak Kinsey at the Fungal Genetics Stock Center at the University of Kansas Medical Center. In addition, we have a larger Advisory Board made up of a number of Neurospora researchers. Sponsors: They have been funded by the National Science Foundation to sequence the N. crassa genome and make the information publicly available.

Proper citation: Neurospora crassa Database (RRID:SCR_001372) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/colin3t7t

High-field extension of the Colin27 single-subject atlas with additional high-resolution, quantitative, averaged scans at both 3T and 7T.

Proper citation: Colin 3T/7T High-resolution Atlas (RRID:SCR_000160) Copy   

•   Source: SciCrunch Registry
  

http://www.drive5.com/muscle/prefab.htm

Downloadable data designed for testing multiple sequence alignment methods.

Proper citation: PREFAB (RRID:SCR_001009) Copy   

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https://scicrunch.org/scicrunch/data/source/nlx_154697-12/search?q=*

A virtual database of several model resources including: CellML Model Repository, ModelDB, Open Source Brain, SimTK, and ModelRun.

Proper citation: Integrated Models (RRID:SCR_001481) Copy   

•   Source: SciCrunch Registry
  

http://www-bioc.rice.edu/~shamoo/prid.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 2,2022. It is a repository of interactions found by Entangle and compiled into various tables for use by the RNA community. This data does not have a user interface, but data can be accessed in tables. It contains raw Excel/Access Databases and data processed into useful Figures for people who don't want to wade through the primary data. At present it contains informations from 42 PDBs.

Proper citation: Protein-RNA Interaction Database (RRID:SCR_000398) Copy   

•   Source: SciCrunch Registry
  

http://www.nsfgrfp.org/

The National Science Foundation's Graduate Research Fellowship Program (GRFP) helps ensure the vitality of the human resource base of science and engineering in the United States and reinforces its diversity. The program recognizes and supports outstanding graduate students in NSF-supported science, technology, engineering, and mathematics disciplines who are pursuing research-based master's and doctoral degrees in the U.S. and abroad. The NSF welcomes applications from all qualified students and strongly encourages under-represented populations, including women, under-represented racial and ethnic minorities, and persons with disabilities, to apply for this fellowship. Fellows share in the prestige and opportunities that become available when they are selected. Fellows benefit from a three-year annual stipend of $30,000 along with a $10,500 cost of education allowance for tuition and fees, a one-time $1,000 international travel allowance and the freedom to conduct their own research at any accredited U.S., or foreign institution of graduate education they choose. NSF Fellows are anticipated to become knowledge experts who can contribute significantly to research, teaching, and innovations in science and engineering. So that the nation can build fully upon the strength and creativity of a diverse society, the Foundation welcomes applications from all qualified individuals. Women, under-represented minorites and people with disabilities are encouraged to apply. Those with disabilities are additionally accommodated by the Foundation to provide for the most successful graduate experience possible. Sponsors: This program is supported by the National Science Foundation (NSF).

Proper citation: National Science Foundation Graduate Research Fellowship Program (RRID:SCR_001487) Copy   

•   Source: SciCrunch Registry
  

http://igenbio.com/

A web-based genome analysis platform that integrates proprietary functional genomic data, metabolic reconstructions, expression profiling, and biochemical and microbiological data with publicly available information. Focused on microbial genomics, it provides better and faster identification of gene function across all organisms. Building upon a comprehensive genomic database integrated with a collection of microbial metabolic and non-metabolic pathways and using proprietary algorithms, it assigns functions to genes, integrates genes into pathways, and identifies previously unknown or mischaracterized genes, cryptic pathways and gene products. . * Automated and manual annotation of genes and genomes * Analysis of metabolic and non-metabolic pathways to understand organism physiology * Comparison of multiple genomes to identify shared and unique features and SNPs * Functional analysis of gene expression microarray data * Data-mining for target gene discovery * In silico metabolic engineering and strain improvement

Proper citation: ERGO (RRID:SCR_001243) Copy   

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http://stdgen.northwestern.edu/stdgen/bacteria/hhv1/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. The scope of the project includes molecular information pertaining to oral pathogens, bacterial and viral. The website contains a table of protein-protein interactions for human herpesvirus 1. It is operated for the U.S. Department of Energy's National Nuclear Security Administration.

Proper citation: Protein-Protein Interactions Table for Human herpesvirus 1 (RRID:SCR_000397) Copy   

•   Source: SciCrunch Registry
  

http://bovinegenome.org/

Database and integrated tools to improve annotation of the bovine genome and to integrate the genome sequence with other genomics data.

Proper citation: Bovine Genome Database (RRID:SCR_000148) Copy   

•   Source: SciCrunch Registry