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http://acsr.ucsf.edu/

A biorepository for HIV-infected human biospecimens from a wide spectrum of HIV-related or associated diseases, including cancer, and from appropriate HIV-negative controls. The ACSR has formalin-fixed paraffin embedded biospecimens, fresh frozen biospecimens, malignant cell suspensions, fine needle aspirates, and cell lines from patients with HIV-related malignancies. It also contains serum, plasma, urine, bone marrow, cervical and anal specimens, saliva, semen, and multi-site autopsy speicmens from patients with HIV-related malignancies including those who have participated in clinical trials. The ACSR has an associated databank that contains prognostic, staging, outcome and treatment data on patients from whom tissues were obtained. The ACSR database contains more than 300,000 individual biospecimens with associated clinical information. Biospecimens are entered into the ACSR database by processing type, disease category, and number of cases defined by disease category.

Proper citation: AIDS and Cancer Specimen Resource (RRID:SCR_004216) Copy   

•   Source: SciCrunch Registry

http://tiger.dbs.nus.edu.sg/AllerHunter

A cross-reactive allergen prediction program built on a combination of Support Vector Machine (SVM) and pairwise sequence similarity. Cross-reactivity is based on similarity of proteins to allergens. However, not all proteins with similar sequence or structure to known allergens are cross-reactive allergens. AllerHunter aims to predict allergens and non-allergens with high sensitivity and specificity, without compromising efficiency at classification of proteins with similar sequence to known allergens. There are distinct differences between prediction of allergenicity and cross-reactivity of allergens. Allergenicity is the immunogenic potential of an allergen to induce IgE antibody production, whereas cross-reactivity is the potential of a substance to bind to IgE previously induced by a known allergen. It is difficult to predict allergenicity because causes of immunogenicity of allergens are still not completely clear. However it is possible to predict cross-reactivity since it implies similarity in IgE binding sites. Please provide protein sequence in fasta format.

Proper citation: AllerHunter: Cross-reactive Allergen Prediction Home (RRID:SCR_002950) Copy   

•   Source: SciCrunch Registry

http://www.walescancerbank.com/

The Wales Cancer Bank aims to collect samples of tumour, normal tissue and blood from all patients in Wales who are undergoing an operation to remove tissue where cancer is a possible diagnosis. These samples will be banked to build up a research resource that will be used by research groups to help understand the molecular mechanisms involved in cancer and work towards the selection of optimum targeted treatment for individuals. The Wales Cancer Bank is licensed by the Human Tissue Authority (license 12107) to store human tissue for research and has ethics approval from the Wales Multicentre Research Ethics Committee to collect and issue samples for cancer related research.

Proper citation: Wales Cancer Bank (RRID:SCR_004331) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/browse/resourcesedit/SCR_004214

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 18, 2022. A tumor bank that provides a large collection of cancer specimens, from breast and other cancers, annotated with clinical information. The CBCF TB enables researchers to address unanswered questions concerning the prognosis and treatment of breast cancer and other cancers. The CBCF TB website is also directed to participants interested in donating tumor tissue or blood. Biological specimens such as blood, urine, bone marrow, and ascites (fluid that sometimes collects in the abdomen) contain genetic information, just as tumor tissue does. These samples can be used in studies that may help researchers see how people with certain genetic make-ups respond to certain treatments. It can also explain why different people have different health problems. CBCF TB, formerly ARTB, was created by a merger of components of two existing Tumor-banking initiatives, the CLS Repository in Calgary and the Tumor bank of the PolyomX Program in Edmonton.

Proper citation: Canadian Breast Cancer Foundation Tumor Bank (RRID:SCR_004214) Copy   

•   Source: SciCrunch Registry

http://elgar.ucsd.edu/software/magi/

A web service for fast microRNA-Seq data analysis in a GPU infrastructure.

Proper citation: MAGI (RRID:SCR_003360) Copy   

•   Source: SciCrunch Registry

http://www.inmex.ca./INMEX/

A web-based tool to support meta-analysis of multiple gene-expression data sets, as well as to enable integration of data sets from gene expression and metabolomics experiments. INMEX contains three functional modules. The data preparation module supports flexible data processing, annotation and visualization of individual data sets. The statistical analysis module allows researchers to combine multiple data sets based on P-values, effect sizes, rank orders and other features. The significant genes can be examined in functional analysis module for enriched Gene Ontology terms or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, or expression profile visualization. INMEX has built-in support for common gene/metabolite identifiers (IDs), as well as 45 popular microarray platforms for human, mouse and rat. Complex operations are performed through a user-friendly web interface in a step-by-step manner.

Proper citation: INMEX (RRID:SCR_004173) Copy   

•   Source: SciCrunch Registry

http://lcg.rit.albany.edu/dp-bind

This web-server takes a user-supplied sequence of a DNA-binding protein and predicts residue positions involved in interactions with DNA. Prediction can be performed using a profile of evolutionary conservation of the input sequence automatically generated by the web-server or the input sequence alone. Three prediction methods are run for each input sequence and consensus prediction is generated.

Proper citation: DP-Bind: a web server for sequence-based prediction of DNA-binding residues in DNA-binding proteins (RRID:SCR_003039) Copy   

•   Source: SciCrunch Registry

http://kt.ijs.si/software/SEGS/

A web tool for descriptive analysis of microarray data. The analysis is performed by looking for descriptions of gene sets that are statistically significantly over- or under-expressed between different scenarios within the context of a genome-scale experiments (DNA microarray). Descriptions are defined by using the terms from the Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene-gene interactions found in the ENTREZ database. Gene annotations by GO and KEGG terms can also be found in the ENTREZ database. The tool provides three procedures for testing the enrichment of the gene sets (over- or under-expressed): Fisher's exact test, GSEA and PAGE, and option for combining the results of the tests. Because of the multiple-hypothesis testing nature of the problem, all the p-values are computed using the permutation testing method.

Proper citation: SEGS (RRID:SCR_003554) Copy   

•   Source: SciCrunch Registry

http://conceptweblog.wordpress.com/

THIS RESOURCE IS NO LONGER IN SERVICE, documented July 6, 2016. This blog, which is maintained under the aegis of the Concept Web Alliance, is devoted to the Concept Web a dynamic, interactive fabric of concepts and their relationships. The Concept Web is constructed from, inter alia, research literature, Internet databases and other web sites together with off-line resources. The aim of creating the Concept Web is to remove both redundancy and ambiguity from available knowledge in order to help deal with information overload, to semantically "connect" concepts, and so to maximize the potential for knowledge discovery.

Proper citation: Conceptweblog (RRID:SCR_003022) Copy   

•   Source: SciCrunch Registry

http://webdocs.cs.ualberta.ca/~bioinfo/PA/Sub/

Web server specialized to predict the subcellular localization of proteins using established machine learning techniques.

Proper citation: Proteome Analyst Specialized Subcellular Localization Server (RRID:SCR_003143) Copy   

•   Source: SciCrunch Registry

https://www.ctrnet.ca/

The Canadian Tumour Repository Network (CTRNet) is a not-for-profit consortium of leading provincial tumor banks and programs that furthers Canadian health research. CTRNet provides interested researchers with a streamlined process to obtain quality human tissue and human tissue products from member tumor banks. The benefits of working with CTRNet.ca include: * The ability for researchers to search for quality controlled tissue samples from Canada''''s leading tumor banks in one central location and for biobanks to display and make their biospecimens available for research users. * Learning opportunities in tissue handling, research design and relevant technology training and innovations. * Invitation to CTRNet workshops and conferences. * A resource for current news links and discussion forums about cancer research and tumor banking. The vision of CTRNet is to create new opportunities for translational cancer research that will improve cancer outcomes in Canada and beyond. Through the creation and maintenance of an online pan-Canadian network, researchers will gain unprecedented access to a new and comprehensive source of tissue and clinical data. The network is a sustainable resource and operates according to the highest scientific and ethical standards for research to benefit all Canadians. Currently CTRNet has the following member banks: * CBCF Tumor Bank Alberta * Manitoba Tumour Bank * Ontario Tumour Bank * British Columbia Cancer Agency Tumour Tissue Repository (BCCA-TTR) * Le r��seau de recherche en cancer du FRSQ * NCIC Clinical Trials Group

Proper citation: Canadian Tumour Repository Network (RRID:SCR_004192) Copy   

•   Source: SciCrunch Registry

http://nar.oxfordjournals.org/content/34/suppl_2/W635.long

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 9, 2016. A web server that allows users to efficiently identify and prioritize high-risk SNPs according to their phenotypic risks and putative functional effects. A unique feature is that the functional effect information used for SNP prioritization is always up-to-date, because FASTSNP extracts the information from 11 external web servers at query time using a team of web wrapper agents. Moreover, FASTSNP is extendable by deploying more Web wrapper agents. FASTSNP provides three options for users to submit requests. If users already have some candidate SNPs on a candidate gene, they may use Query by Candidate Gene to select the specific SNPs on the gene to perform prioritization. If users have a specified SNP or a list of SNP rsid's needs to be prioritized, they can use Query by SNP option and upload the SNP list in an Excel-format file. Finally, if users have a novel SNP sequence, FASTSNP provides Novel SNP analysis. FASTSNP will generate a SNP Function Report for each SNP. Users can export SNP data to an excel file for further genotyping processes. Other features of FASTSNP include SNP quality checking and haplotype LD information.

Proper citation: FastSNP (RRID:SCR_003140) Copy   

•   Source: SciCrunch Registry

http://www.progeriaresearch.org/cell_tissue_bank.html

The PRF Cell & Tissue Bank provides medical researchers with genetic and biological material from Progeria patients and their families, so that research on Progeria and other age-related diseases can be performed. We''ve been hard at work with the families and their physicians to gather these precious biological materials. As you know, Hutchinson-Gilford Progeria Syndrome is an extremely rare condition. Thus while access to cell lines is essential for studying the biology and genetics of the disorder, there are very few cell lines in existence. Because an integral part of PRF''s mission is to stimulate interest in, and NIH funding opportunities for, Progeria research, there is an increased need for cell lines. The PRF Cell Bank will ensure that need is met! The goals of The PRF Cell & Tissue Bank are to promote: * Sufficient availability of cells for approved research projects * Incentive for new research projects * Study of the biochemical basis for Hutchinson-Gilford Progeria Syndrome * Discoveries leading to new treatments for children with Progeria * Discovery of a cure for Progeria

Proper citation: Progeria Cell and Tissue Bank (RRID:SCR_004194) Copy   

•   Source: SciCrunch Registry

http://www.genewiz.com

Commercial organization for research and development genomics services and technical support to researchers.

Proper citation: GENEWIZ (RRID:SCR_003177) Copy   

•   Source: SciCrunch Registry

http://www.t-profiler.org

One of the key challenges in the analysis of gene expression data is how to relate the expression level of individual genes to the underlying transcriptional programs and cellular state. The T-profiler tool hosted on this website uses the t-test to score changes in the average activity of pre-defined groups of genes. The gene groups are defined based on Gene Ontology categorization, ChIP-chip experiments, upstream matches to a consensus transcription factor binding motif, and location on the same chromosome, respectively. If desired, an iterative procedure can be used to select a single, optimal representative from sets of overlapping gene groups. A jack-knife procedure is used to make calculations more robust against outliers. T-profiler makes it possible to interpret microarray data in a way that is both intuitive and statistically rigorous, without the need to combine experiments or choose parameters. Currently, gene expression data from Saccharomyces cerevisiae and Candida albicans are supported. Users can submit their microarray data for analysis by clicking on one of the two organism-specific tabs above. Platform: Online tool

Proper citation: T-profiler (RRID:SCR_003452) Copy   

•   Source: SciCrunch Registry

http://dire.dcode.org

Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data.

Proper citation: Distant Regulatory Elements (RRID:SCR_003058) Copy   

•   Source: SciCrunch Registry

http://www.lerner.ccf.org/gmi/gmb/

A biorepository is a place where investigators can deposit and store biological material, in this case samples derived from patients. Moreover, the Genomic Medicine Institute (GMI) takes this basic concept and elevates it to make the Genomic Medicine Biorepository (GMB) a full-service processing and banking laboratory that serves as the foundation for evidence-based research for the GMI, the Cleveland Clinic, and our collaborators. The process relies on a team of multi-disciplinary professionals coordinating their efforts in order to streamline medical research. This begins with dedicated physicians and genetic counselors identifying individuals with specific medical conditions indicating the possibility of genetic involvement. Once identified, biological material (e.g. blood, tissue, or saliva) is collected under the care of the patient''s doctor or by our clinicians and sent to the GMB. Once in the lab, the patient and their samples are assigned a unique identifier (to protect the patient''s personal information) and logged into a central database. This unique identifier accompanies all samples processed and banked for that individual. The specimens are then processed into research-relevant samples using proven laboratory techniques and state-of-the-art quality control practices. These samples include the isolation of DNA and RNA from white blood cells for genetic studies; collection of plasma for proteomic studies; and initiated immortalized cell lines from lymphocytes for in-vitro studies and biochemical research. These cell lines are able to be indefinitely stored in cryogenic suspension and are invaluable as a renewable resource for genetic and biochemical research. The GMB also processes genetic material from various tissues (both fresh and archived). Charis Eng, MD, PhD, Chair and Director of the GMI, has been the faculty oversight person of a human biorepository for the last eight years. Since then, our biorepository has received, cataloged, processed, and banked, in excess of 25,000 specimens. These samples are of numerous tissue types from patients and their family members located all over the world. Our biorepository has managed samples that have resulted in more than 150 original peer reviewed articles and greater than $25 million total direct costs in extramural funding over the last four years alone.

Proper citation: Cleveland Clinic Genomic Medicine Biorepository (RRID:SCR_004136) Copy   

•   Source: SciCrunch Registry

http://www.mouseconnectome.org/

Three-dimensional digital connectome atlas of the C57Black/6J mouse brain and catalog of neural tracer injection cases, which will eventually cover the entire brain. Serial sections of each case are available to view at 10x magnification in the interactive iConnectome viewer. The Image Gallery provides a glimpse into some of the highlights of their data set. Representative images of multi-fluorescent tracer labeling can be viewed, while more in depth examination of these and all other cases can be performed in the iConnectome viewer. Phase 1 of this project involves generating a physical map of the basic global wiring diagram by applying proven, state of the art experimental circuit tracing methods systematically, uniformly, and comprehensively to the structural organization of all major neuronal pathways in the mouse brain. Connectivity imaging data for the whole mouse brain at cellular resolution will be presented within a standard 3D anatomic frame available through the website and accompanied by a comprehensive searchable online database. A Phase 2 goal for the future will allow users to view, search, and generate driving direction-like roadmaps of neuronal pathways linking any and all structures in the nervous system. This could be looked on as a pilot project for more ambitious projects in species with larger brains, such as human, and for providing a reliable framework for more detailed local circuitry mapping projects in the mouse.

Proper citation: Mouse Connectome Project (RRID:SCR_004096) Copy   

•   Source: SciCrunch Registry

http://www.dsitissuebank.org

Donor Services of Indiana (DSI) in Fort Wayne is the nonprofit tissue bank established to provide high-quality human tissue and eye tissue for transplant to patients in our region, and for use in medical research. The program depends on contributions made by generous people who have consented to donation after the death of a family member. Bone, tendons, skin grafts and heart valves can significantly improve the quality of life for transplant recipients by preventing amputation, restoring mobility, relieving pain and sometimes saving lives. DSI adheres to the strict guidelines of the American Association of Tissue Banks and is widely recognized for its leadership in tissue banking. Transplant tissue provided by DSI is from regional donors evaluated and procured by our clinical staff, tested under our rigorous protocols, and distributed, tracked and followed by our professionals. DSI provides tissues back to the community from which they came and is equipped to deliver needed tissues on an urgent basis for medical emergencies, surgeries and procedures.

Proper citation: Donor Services of Indiana (RRID:SCR_004838) Copy   

•   Source: SciCrunch Registry

http://mltreemap.org/

Data analysis service that analyzes DNA sequences and determines their most likely phylogenetic origin. Its main use is in metagenomics projects, where DNA is isolated directly from natural environments and sequenced (the organisms from which the DNA originates are often entirely undescribed). It will search such sequences for suitable marker genes, and will use maximum likelihood analysis to place them in the ''''Tree of Life''''. This placement is more reliable than simply assessing the closest relative of a sequence using BLAST. More importantly, MLTreeMap decides not only who is the closest relative of your query sequence, but also how deep in the tree of life it probably branched off. Additionally, MLTreeMap searches the sequences for genes, which are coding for key enzymes of important functional pathways, such as RuBisCo, methane monooxygenase or nitrogenase. In case of a positive hit, MLTreeMap uses maximum likelihood analysis to place them in the respective ''''gene-family tree''''.

Proper citation: MLTreeMap (RRID:SCR_004792) Copy   

•   Source: SciCrunch Registry