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https://www.cdc.gov/fluview/?CDC_AAref_Val=https://www.cdc.gov/flu/weekly/weeklyarchives2008-2009/weekly15.htm

This page contains the Influenza Surveillance Report during 2008-2009 Influenza Season Week 15, ending April 18, 2009.

Proper citation: FluView: A Weekly Influenza Surveillance Report (RRID:SCR_001118) Copy   

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http://aimlab.cs.uoregon.edu/NEMO/web/

THIS RESOURCE IS NO LONGER IN SERVICE. NIH tombstone webpage lists Project Period : 2009 - 2013. NIH funded project to create EEG and MEG ontologies and ontology based tools. These resources will be used to support representation, classification, and meta-analysis of brain electromagnetic data. Three pillars of NEMO are: DATA, ONTOLOGY, and DATABASE. NEMO data consist of raw EEG, averaged EEG (ERPs), and ERP data analysis results. NEMO ontologies include concepts related to ERP data (including spatial and temporal features of ERP patterns), data provenance, and cognitive and linguistic paradigms that were used to collect data. NEMO database portal is large repository that stores NEMO consortium data, data analysis results, and data provenance. EEG and MEG ontologies and ontology-based tools to support representation, classification, and meta-analysis of brain electromagnetic data. Raw EEG and ERP data may be uploaded to the NEMO FTP site., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Neural ElectroMagnetic Ontologies (NEMO) Project (RRID:SCR_002001) Copy   

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http://sourceforge.net/projects/skewer/

Software program for adapter trimming that is specially designed for processing Illumina paired-end sequences.

Proper citation: skewer (RRID:SCR_001151) Copy   

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http://discover.nci.nih.gov/gominer/

GoMiner is a tool for biological interpretation of "omic" data including data from gene expression microarrays. Omic experiments often generate lists of dozens or hundreds of genes that differ in expression between samples, raising the question, What does it all mean biologically? To answer this question, GoMiner leverages the Gene Ontology (GO) to identify the biological processes, functions and components represented in these lists. Instead of analyzing microarray results with a gene-by-gene approach, GoMiner classifies the genes into biologically coherent categories and assesses these categories. The insights gained through GoMiner can generate hypotheses to guide additional research. GoMiner displays the genes within the framework of the Gene Ontology hierarchy in two ways: * In the form of a tree, similar to that in AmiGO * In the form of a "Directed Acyclic Graph" (DAG) The program also provides: * Quantitative and statistical analysis * Seamless integration with important public databases GoMiner uses the databases provided by the GO Consortium. These databases combine information from a number of different consortium participants, include information from many different organisms and data sources, and are referenced using a variety of different gene product identification approaches.

Proper citation: GoMiner (RRID:SCR_002360) Copy   

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http://www.scienceexchange.com/facilities/sanford-burnham-medical-research-institute--2

A portal which lists the various labs and facilities that are part of the Sanford-Burnham Medical Research Institute.

Proper citation: Sanford-Burnham Medical Research Institute Labs and Facilities (RRID:SCR_001029) Copy   

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https://orwh.od.nih.gov/

The mission of the Office of Research on Women's Health (ORWH) is to stimulate and encourage meritorious research on women's health, including the role of sex and gender in health and disease. The priorities signify approaches and areas for which there is a need to stimulate and encourage research on women's health, or sex/gender factors, and the advancement of women in biomedical research careers. These research priorities are not an exclusive list of research areas important to women's health; therefore other innovative or significant research areas should also be considered. The following four overarching themes are important for addressing research on women's health: Lifespan, Sex/Gender Determinants, Health Disparities/Differences and Diversity, ad Interdisciplinary Research. Special Areas of Emphasis - Prevention/Treatment: from basic biological factors, including identifying and validating biomarkers, to risk and its applications to disease prevention, early detection, and treatment. - Sex and Genetics/Pharmacogenomics: genetic, molecular, and cellular basis for action of pharmacologic agents known to have different effects in females than in males. Research on effects of sex as a modifier of gene function and response is under-investigated. Sponsors: This research is funded by the NAtional Institutes of Health.

Proper citation: Office of Research on Womens Health: Reseach (RRID:SCR_001822) Copy   

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http://lbgi.fr/balibase/

A collection of high quality multiple sequence alignments for objective, comparative studies of alignment algorithms. The alignments are constructed based on 3D structure superposition and manually refined to ensure alignment of important functional residues. A number of subsets are defined covering many of the most important problems encountered when aligning real sets of proteins. It is specifically designed to serve as an evaluation resource to address all the problems encountered when aligning complete sequences. The first release provided sets of reference alignments dealing with the problems of high variability, unequal repartition and large N/C-terminal extensions and internal insertions. Version 2.0 of the database incorporates three new reference sets of alignments containing structural repeats, trans-membrane sequences and circular permutations to evaluate the accuracy of detection/prediction and alignment of these complex sequences.
Within the resource, users can look at a list of all the alignments, download the whole database by ftp, get the "c" program to compare a test alignment with the BAliBASE reference (The source code for the program is freely available), or look at the results of a comparison study of several multiple alignment programs, using BAliBASE reference sets.

Proper citation: BAliBASE (RRID:SCR_001940) Copy   

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http://www.nitrc.org/projects/iowa3/

Software for real-time parametric statistical analysis of functional MRI (fMRI) data. The system that combines a general architecture for sampling and time-stamping relevant information channels in fMRI (image acquisition, stimulation, subject responses, cardiac and respiratory monitors, etc.) and an efficient approach to manipulating these data, featuring incremental subsecond multiple linear regression. The advantages of the system are the simplification of event timing and efficient and unified data formatting. Substantial parametric analysis can be performed and displayed in real-time. Immediate (replay) and delayed off-line analysis can also be performed with the same interface. The system provides a time-accounting infrastructure that readily supports standard and innovative approaches to fMRI.

Proper citation: I/OWA (RRID:SCR_000858) Copy   

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https://plantcyc.org/content/plantcyc-15.2.0

Multi species reference database. Comprehensive plant biochemical pathway database, containing curated information from literature and computational analyses about genes, enzymes, compounds, reactions, and pathways involved in primary and secondary metabolism.

Proper citation: PlantCyc (RRID:SCR_002110) Copy   

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http://embryo.soad.umich.edu/animal/home.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 14, 2013. A multidimensional, digital atlas based on magnetic resonance images of normal mouse embryos from 9.5 days after conception (E9) to the newborn (P0). The images include surface views and cross-sectional views from the transverse, coronal, and sagittal planes for each embryo. Several movies have also been included to demonstrate growth of the embryos and to present a variety of visualization tools available for studying and documenting embryonic anatomy. These images are organized as a reference for educators and researchers who want to understand better the embryological anatomy of their own specimens and to understand how their images relate to the whole embryo at many stages of development.

Proper citation: Magnetic Resonance Microscopy of Mouse Embryo Specimens (RRID:SCR_001145) Copy   

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http://ccr.coriell.org/Sections/Collections/LMS/?SsId=17

The Leiomyosarcoma Cell and DNA Repository has been established with an award from the National Leiomyosarcoma Foundation. This foundation provides leadership in supporting research of Leiomyosarcoma, improving treatment outcomes of those affected by this disease as well as fostering awareness in the medical community and general public. The resources available include highly-characterized, viable, and contaminant-free cell cultures and high quality, well-characterized DNA samples derived from these cultures, both subjected to rigorous quality control. Leiomyosarcoma is a rare form of cancer, which affects about four people in every million. It spreads through the blood stream and can affect the lungs, liver, blood vessels, or any other soft tissue in the body. Presently there is no cure, only remission if it can be attained, and this rare cancer can reappear anywhere at any time. Because of its rarity, few doctors know how to treat it and it attracts very little research. Cell cultures or DNA are distributed only to qualified professional persons who are associated with recognized research, medical, educational, or industrial organizations engaged in health-related research or health delivery. Before cell cultures or DNA samples can be shipped, the principal investigator must sign an ASSURANCE FORM (Material Transfer Agreement) detailing the terms and conditions of sale. This agreement must be renewed annually. In addition, before receiving lymphoblast or other virus-transformed cell cultures users should read the MINIMUM SAFETY GUIDELINES RECOMMENDED FOR WORKING WITH HUMAN CELL CULTURES.

Proper citation: Leiomyosarcoma Cell and DNA Repository (RRID:SCR_004686) Copy   

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http://www.crcjussieu.fr/crc/index.php

Organization focusing on the regulation of important functions and the roles of the deregulation of these functions in the genesis and progression of diseases. Nineteen teams are structure in 2 departments, Physiology, Metabolism, Differenciation and Immunology, Cancer, Inflammation. This 2 departments are joined by a Therapeutic Innovations coordinated by a team manager. Through a strong synergism between scientists, clinicians and industry, the CRC has created the means of success of translational research. Several teams are involved in innovation in various fields such as imaging, identifications of genetic, protein or cellular prognostic markers, the production of molecules (monoclonal antibody) or generation of cells (dendritic cells or macrophage) for therapeutic use. The CRC has developed important core facilities including a modern animal facility with a transgenic service, a small animals imaging platform, a core facility for in vivo and ex vivo studies of renal functions, an ex vivo cell imaging facility with a confocal microscopy service, flow cytometry, electron microscopy and laser micro dissection. These facilities under the management of highly competent scientists and engineers work for the transfer of competence toward the students and ensures the continued formation through regular organization of scientific day meetings. The CRC participates in the research and academic training. On the campus is located the faculty of medicine Paris Descartes, the Pierre and Marie Curie Institute of Doctoral training and the school of physiology and pathophysiology. About a hundred PhD students belonging to 8 different Doctoral Schools are hosted in 36 doctoral training teams. Students from technical, bachelor and masters levels are also being trained. In addition, young pupils from secondary and high school participate regularly in the programs for initiation to research conceptions and technology. Seminars as well as meetings at national and European levels and scientific debates on various important contemporary topics, and open-door programs are conducted regularly in the Center.

Proper citation: Cordelier Research Center (RRID:SCR_005775) Copy   

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http://bioinformatics.biol.rug.nl/standalone/fiva/

Functional Information Viewer and Analyzer (FIVA) aids researchers in the prokaryotic community to quickly identify relevant biological processes following transcriptome analysis. Our software is able to assist in functional profiling of large sets of genes and generates a comprehensive overview of affected biological processes. Currently, seven different modules containing functional information have been implemented: (i) gene regulatory interactions, (ii) cluster of orthologous groups (COG) of proteins, (iii) gene ontologies (GO), (iv) metabolic pathways (v) Swiss Prot keywords, (vi) InterPro domains - and (vii) generic functional categories. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: FIVA - Functional Information Viewer and Analyzer (RRID:SCR_005776) Copy   

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http://ccr.coriell.org/Sections/Collections/CDC/?SsId=16

A repository which houses DNA samples prepared from reference cell lines and are available for use in molecular genetic testing. The CF samples contain mutations associated with unique populations, combinations of IVS8 poly-thymidine tract variants, and mutations not previously available. Three DNA samples with homozygous MTHFR-related mutations are available. Hemochromatosis-associated samples include a compound HFE heterozygote and other combinations of HFE alleles. DNA samples with triplet repeats at the intermediate-range are available for HD and Fragile X syndrome. Mutations were confirmed in all cell lines from which the DNA has been prepared by reference testing and multi-laboratory pilot testing. Control DNA samples negative for all mutations are also available. Laboratories are encouraged to contact Coriell Cell Repositories to inquire about obtaining samples or donating samples as possible candidates for transformation.

Proper citation: CDC Cell and DNA Repository (RRID:SCR_004680) Copy   

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http://www.acmg.net

An organization composed of biochemical, clinical, cytogenetic, medical and molecular geneticists, genetic counselors and other health care professionals committed to the practice of medical genetics to Improve Health Through Medical Genetics. The American College of Medical Genetics and Genomics will: * Define and promote excellence in the practice of medical genetics and genomics in the integration of translational research into practice; * Promote and provide medical genetics and genomics education; * Increase access to medical genetics and genomics services and integrate them into patient care; * Advocate for and represent providers of medical genetics and genomics services and their patients; and * Maintain structure and integrity of ACMG and its value to members and the public.

Proper citation: American College of Medical Genetics and Genomics (RRID:SCR_005769) Copy   

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http://brainsia.github.io/BRAINSTools/

Medical image processing software suite for brain analysis.

Proper citation: BRAINSTools (RRID:SCR_006618) Copy   

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http://medicine.tamhsc.edu/irm/msc-distribution.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 29,2025. Center for cell line distribution and stock at Texas A&M Health Science Center College of Medicine Institute for Regenerative Medicine. Scott & White have received a grant funded by the NIH to provide well-characterized human adult stem cells, rat stem cells, and mouse stem cells to academic researchers worldwide upon request.

Proper citation: Texas A and M Health Science Center MSC Distribution (RRID:SCR_005522) Copy   

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http://www.csiro.au/Organisation-Structure/Divisions/ICT-Centre.aspx

CSIRO''s hub for innovative information and communication technologies applied across the breadth of CSIRO''s engagement with industry and society. Our Labs * Autonomous systems - CSIRO is developing autonomous technologies to monitor the environment and infrastructure and improve safety and operating efficiency in the mining, manufacturing and agricultural industries. * Information engineering - Science and technology for finding, integrating, managing and delivering services and information in a trusted and secure way. * Wireless & networking - CSIRO is working on enabling technologies for future mobile and wireless communications networks and developing next generation imaging and sensing systems. CSIRO is developing improved communications systems and sensors for innovative medical and industrial applications. * Australia e-Health Research Centre - Through the Australian e-Health Research Centre, CSIRO invests significantly in using information and communication technologies to improve healthcare and clinical treatment for all Australians. * Tasmanian ICT Centre - The Tasmanian ICT Centre has developed a world-class ICT research capacity and conducts innovative applied research in the areas of sensor networks and data management.

Proper citation: ICT Centre (RRID:SCR_005888) Copy   

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http://niftyrec.scienceontheweb.net/

Software toolbox that includes reconstruction tools for emission and transmission imaging modalities, including Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), cone-beam X-Ray CT and parallel-beam X-Ray CT. At the core of NiftyRec are efficient, GPU accelerated, projection, back-projection and iterative reconstruction algorithms. The easy to use Matlab and Python interfaces of NiftyRec enable fast prototyping and development of reconstruction algorithms. NiftyRec includes standard iterative reconstruction algorithms such as Maximum Likelihood Expectation Maximisation (MLEM), Ordered Subsets Expectation Maximisation (OSEM) and One Step Late Maximum A Posteriori Expectation Maximisation (OSL-MAPEM), for multiple imaging modalities.

Proper citation: NiftyRec (RRID:SCR_002499) Copy   

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http://www.brainresource.com/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 10th,2023. Commercial provider of cognitive assessments, including their proprietary database, the Brain Resource International Database (BRID) that allows users to quantify individual differences in brain function, compare individual performance against peers, and provide a robust frame of reference for clinical assessment and treatment decisions. Database provides evidence for brain behavior connection so important to reliably enabling optimal solutions for mental health and wellbeing. It powers all Brain Resource products.

Proper citation: Brain Resource (RRID:SCR_006172) Copy   

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