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http://www.brenda-enzymes.org/

Database for functional enzyme and ligand-related information maintained as part of the German ELIXIR Node. Provides advanced query systems, evaluation tools, and various visualization options for the detailed assessment of enzyme properties. Enzyme data in BRENDA are classified according to the Enzyme Commission (EC) nomenclature of IUBMB.

Proper citation: BRENDA (RRID:SCR_002997) Copy   

•   Source: SciCrunch Registry

http://www.coriell.org/

Non-profit research center dedicated to the study of the human genome. Expert staff and pioneering programs in the fields of personalized medicine, cell biology, cytogenetics, genotyping, and biobanking drive our mission. The emerging field of personalized medicine draws upon a person's genomic information to tailor treatments and prescription drug dosing to optimize health outcomes. The Coriell Personalized Medicine Collaborative (CPMC) research study is seeking to understand the usefulness of genetic risk and pharmacogenomics in clinical decision-making and healthcare management. Coriell has a distinguished history in cell biology. We are building upon this expertise by playing an important role in induced pluripotent stem (iPS) cell research. These powerful cells, which can be made from skin cells or blood, are revolutionizing the way human disease is studied and how drugs are developed. The decline of neurons afflicted with Alzheimer's disease or pancreatic cells fighting diabetes can be studied in a Petri dish. By proving efficacy within the diseased environment prior to clinical trial, drugs can move through the pipeline quicker to reach patients sooner. In addition to pioneering cutting-edge research initiatives, Coriell offers custom research services including cell culture, cytogenetic analyses, and molecular biology to the scientific community. Furthermore, Coriell's Genotyping and Microarray Center is one of the nation's largest centers, with high-throughput DNA analysis systems from Illumina and Affymetrix. The Center is CLIA-certified in 48 states.

Proper citation: Coriell Institute for Medical Research (RRID:SCR_003043) Copy   

•   Source: SciCrunch Registry

http://bluebrain.epfl.ch/

A Swiss-led project with the aim of reverse engineering the mammalian brain and achieving a complete virtual human brain. The researchers have demonstrated the validity of their method by developing a realistic model of a rat cortical column, consisting of about 10,000 neurons. The eventual goal is to simulate systems of millions and hundreds of millions of neurons. The virtual brain will be an exceptional tool giving neuroscientists a new understanding of the brain and a better understanding of neurological diseases. In five years of work, Henry Markram's team has perfected a facility that can create realistic models of one of the brain's essential building blocks. This process is entirely data driven and essentially automatically executed on the supercomputer. Meanwhile the generated models show a behavior already observed in years of neuroscientific experiments. These models will be basic building blocks for larger scale models leading towards a complete virtual brain.

Proper citation: Blue Brain Project (RRID:SCR_002994) Copy   

•   Source: SciCrunch Registry

http://platform.visiome.neuroinf.jp/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023.Analytical tools. Archive files may be written in any format and may include explanatory figures, program sources, readme files, and other related files. The readme file describes the purpose and usage of the archive file. This data sharing framework allows users to improve the reproducibility of simulations. Users can browse the platform contents via branch sites (A catalogue of illusions, Visitope), which introduce user friendly view of items such as basic images and original artworks of visual illusions with high resolution. The items in Visiome Platform are useful not only for reproducing the published results, but also for advancing and expanding the research in Vision Science.

Proper citation: Visiome Platform (RRID:SCR_003049) Copy   

•   Source: SciCrunch Registry

http://www.xnat.org

Software platform designed to facilitate common management and productivity tasks for neuroimaging and associated data.

Proper citation: XNAT - The Extensible Neuroimaging Archive Toolkit (RRID:SCR_003048) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/dalilite/indexhtml

Tool that computes optimal and suboptimal structural alignments between two protein structures. It will compare all chains in the first structure against all chains in the second (unless specific chain IDs are given). The resulting superimposed coordinate files can be downloaded or viewed interactively in Jmol. The Dali method optimizes a weighted sum of similarities of intramolecular distances. Suboptimal alignments do not overlap the optimal alignment or each other. Suboptimal alignments detected by the program are reported if the Z-score is above 2; they may be of interest if there are internal repeats in either structure. SOAP Web services are also available.

Proper citation: DaliLite Pairwise comparison of protein structures (RRID:SCR_003047) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/prorata/

A quantitative proteomics software program for accurate protein abundance ratio estimation with confidence interval evaluation.

Proper citation: ProRata (RRID:SCR_002988) Copy   

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https://bioimagesuiteweb.github.io/webapp/index.html

Web applications for analysis of multimodal/multispecies neuroimaging data. Image analysis software package. Has facilities for DTI and fMRI processing. Capabilities for both neuro/cardiac and abdominal image analysis and visualization. Many packages are extensible, and provide functionality for image visualization and registration, surface editing, cardiac 4D multi-slice editing, diffusion tensor image processing, mouse segmentation and registration, and much more. Can be intergrated with other biomedical image processing software, such as FSL, AFNI, and SPM.

Proper citation: BioImage Suite (RRID:SCR_002986) Copy   

•   Source: SciCrunch Registry

http://www.bioperl.org

BioPerl is a community effort to produce Perl code which is useful in biology. This toolkit of perl modules is useful in building bioinformatics solutions in Perl. It is built in an object-oriented manner so that many modules depend on each other to achieve a task. The collection of modules in the bioperl-live repository consist of the core of the functionality of bioperl. Additionally auxiliary modules for creating graphical interfaces (bioperl-gui), persistent storage in RDMBS (bioperl-db), running and parsing the results from hundreds of bioinformatics applications (Run package), software to automate bioinformatic analyses (bioperl-pipeline) are all available as Git modules in our repository. The BioPerl toolkit provides a library of hundreds of routines for processing sequence, annotation, alignment, and sequence analysis reports. It often serves as a bridge between different computational biology applications assisting the user to construct analysis pipelines. This chapter illustrates how BioPerl facilitates tasks such as writing scripts summarizing information from BLAST reports or extracting key annotation details from a GenBank sequence record. BioPerl includes modules written by Sohel Merchant of the GO Consortium for parsing and manipulating OBO ontologies. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: BioPerl (RRID:SCR_002989) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/gsea/

Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.

Proper citation: Gene Set Enrichment Analysis (RRID:SCR_003199) Copy   

•   Source: SciCrunch Registry

https://www.writelatex.com

A collaboration tool which allows users to edit and publish scientific articles and papers. Overleaf utilizes the convenience of an easy-to-use WYSIWYG manuscript editor with real-time collaboration and structured, fully typeset output produced automatically. Authors can publish immediately and directly to their journal of choice while publishers can reduce their editorial and review turnaround times with powerful change tracking, commenting, and project lifecycle management features. It was formerly known as writeLaTex but changed its name to Overleaf in 2015.

Proper citation: Overleaf (RRID:SCR_003232) Copy   

•   Source: SciCrunch Registry

http://r3cseq.genereg.net/Site/index.html

An R/Bioconductor package to identify chromosomal interaction regions generated by chromosome conformation capture (3C) coupled to next-generation sequencing (NGS), a technique termed 3C-seq. It performs data analysis for a number of different experimental designs, as it can analyze 3C-seq data with or without a control experiment and it can be used to facilitate data analysis for experiments with multiple replicates. The r3Cseq package provides functions to perform data normalization, statistical analysis for cis/trans interactions and visualization in order to help scientists identify genomic regions that physically interact with the given viewpoints of interest. This tool greatly facilitates hypothesis generation and the interpretation of experimental results.

Proper citation: r3Cseq (RRID:SCR_003198) Copy   

•   Source: SciCrunch Registry

https://www.fitzgerald-fii.com

Commercial organization that supplies antibodies, proteins, ELISA kits, serum, and plasma to the research community.

Proper citation: Fitzgerald Industries International (RRID:SCR_003237) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/bctnet/datasets

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. This site has a collection of cortical connectivity datasets and modeling software components that can be downloaded and used for modeling of cortical circuits. The toolbox combines Matlab functions and neuroanatomical data sets useful in the analysis of structural or functional brain networks. Several people have made contributions and if you wish to contribute yourself with a new function or set of functions please contact osporns_at_indiana.edu.The following is a collection of commonly used large scale cortical connectivity data sets compiled from tract-tracing studies. Hence nodes represent cortical areas and links represent large cortico-cortical tracts. * macaque71.mat (BD network). Macaque cortical connectivity: 71 nodes 746 links. Reference: Young (1993). Contributor: OS. Used in e.g. Sporns (2002). * fve30.mat; fve32.mat (BD networks). Two version the macaque visual cortex. fve30.mat: 30 nodes 311 links. fve32.mat: 32 nodes 320 links. Reference: Felleman and van Essen (1991). Contributor: OS. Used in e.g. Sportns et al. (2000) Sporns and Kotter (2004). * macaque47.mat (BD network). Large scale cortico-cortical connectivity matrix of the visual and sensorimotor areas in the macaque. 47 nodes; 505 links. Used in e.g. Honey et al. (2007). Contributor: RK. * cat.mat (WD networks). Connection matrices of cat cortex. CIJall contains all cortical and thalamic areas: 95 nodes 2126 links. CIJctx contains only 52 cortical areas: 52 nodes 820 links. Reference: Scannell et al. (1999). Contributor: OS. Used in e.g. Sporns and Zwi (2004) Sporns and Kotter (2004). * DSIhumanctx.mat (WU networks).

Proper citation: Cortical connectivity data sets (RRID:SCR_003190) Copy   

•   Source: SciCrunch Registry

https://www.assays.co.il

Commercial organization that provides services for assay development, research histopathology, and early stage project consultation.

Proper citation: Smart Assays (RRID:SCR_003195) Copy   

•   Source: SciCrunch Registry

http://www.mged.org/mage-tab/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 27,2023. A simple tab-delimited, spreadsheet-based format which will become a part of the MAGE microarray data standard that can be used for annotating and communicating microarray data in a MIAME compliant fashion. MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML.

Proper citation: MAGE-TAB (RRID:SCR_003222) Copy   

•   Source: SciCrunch Registry

http://www.fged.org/projects/minseqe/

The Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guidelines for microarray experiments, adherence to the MINSEQE guidelines will improve integration of multiple experiments across different modalities, thereby maximising the value of high-throughput research. The five elements of experimental description considered essential when making data available supporting published high-throughput sequencing experiments are as follows: # The description of the biological system, samples, and the experimental variables being studied # The sequence read data for each assay # The "final" processed (or summary) data for the set of assays in the study # General information about the experiment and sample-data relationships # Essential experimental and data processing protocols

Proper citation: MINSEQE (RRID:SCR_003221) Copy   

•   Source: SciCrunch Registry

http://146.20.110.164/about/

Tools for researchers to connect their data, code and computational methods to their published or soon to be published research in a convenient and easily citeable form. ResearchCompendia provides the tools to publish digital scholarly objects by hosting data, code, and methods in a form that is accessible, trackable, and persistent. They provide hosting and computational cloud resources for all researchers. Data and code should be citable and linked to the original publication.

Proper citation: ResearchCompendia (RRID:SCR_003223) Copy   

•   Source: SciCrunch Registry

http://creskolab.uoregon.edu/stacks/

A software pipeline for building loci from short-read sequences, such as those generated on the Illumina platform. It was developed to work with restriction enzyme-based data, such as RAD-seq, for the purpose of building genetic maps and conducting population genomics and phylogeography.

Proper citation: Stacks (RRID:SCR_003184) Copy   

•   Source: SciCrunch Registry

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

Structural variation database designed to store data on variant DNA > / = 1 bp in size from all organisms. Associations of defined variants with phenotype information is also provided. Users can browse data containing number of variant cells from each study, and filter studies by organism, study type, method and genomic variant. Organisms include human, mouse, cattle and several additional animals.

Proper citation: dbVar (RRID:SCR_003219) Copy   

•   Source: SciCrunch Registry