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http://millette.med.sc.edu/Lab%209%2610/histology_of_nervous_tissue.htm

A website for a neuroscience lab class from the University of South Carolina that contains images of different parts of the nervous system and allows students to identify each part and answer questions about it. You should be able to (a) recognize nervous tissue in routine histological sections; (b) distinguish peripheral nerves from dense CT and smooth muscle; (c) recognize the morphological differences between myelinated and unmyelinated nerves at both the light microscopic and electron microscopic levels; (d) recognize nerve cell bodies and their component parts; (e) identify and differentiate dendrites and axons; (f) understand and identify various types of neuroglia, including Schwann cells; (g) understand and identify the structural relationship of the Schwann cell cytoplasm and plasma membrane enveloping axons; (h) understand the general features of nerve synapses. You should be able to draw nerves, cell bodies, Nodes of Ranvier, synapses etc. as they would appear under both the electron and light microscopes.

Proper citation: Histology of Nervous Tissue Laboratory Course (RRID:SCR_002367) Copy   

•   Source: SciCrunch Registry

http://www.univ-angers.fr/en/index.html

Public institution of higher learning in western France that offers programs four major areas: law, economics and business; arts, letters and languages; human and social sciences; and sciences, technology and health.

Proper citation: University of Angers; Angers; France (RRID:SCR_002400) Copy   

•   Source: SciCrunch Registry

https://github.com/gbook/nidb

Neuroimaging database designed to allow simple importing, searching, and sharing of imaging data. NIDB also provides automated pipelining with importing of results back into NIDB which can be searched along with imaging meta data.

Proper citation: NIDB - Neuroinformatics Database (RRID:SCR_002488) Copy   

•   Source: SciCrunch Registry

http://www.ddbj.nig.ac.jp

Maintains and provides archival, retrieval and analytical resources for biological information. Central DDBJ resource consists of public, open-access nucleotide sequence databases including raw sequence reads, assembly information and functional annotation. Database content is exchanged with EBI and NCBI within the framework of the International Nucleotide Sequence Database Collaboration (INSDC). In 2011, DDBJ launched two new resources: DDBJ Omics Archive and BioProject. DOR is archival database of functional genomics data generated by microarray and highly parallel new generation sequencers. Data are exchanged between the ArrayExpress at EBI and DOR in the common MAGE-TAB format. BioProject provides organizational framework to access metadata about research projects and data from projects that are deposited into different databases.

Proper citation: DNA DataBank of Japan (DDBJ) (RRID:SCR_002359) Copy   

•   Source: SciCrunch Registry

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

Database that organizes information on genomes including sequences, maps, chromosomes, assemblies, and annotations in six major organism groups: Archaea, Bacteria, Eukaryotes, Viruses, Viroids, and Plasmids. Genomes of over 1,200 organisms can be found in this database, representing both completely sequenced organisms and those for which sequencing is in progress. Users can browse by organism, and view genome maps and protein clusters. Links to other prokaryotic and archaeal genome projects, as well as BLAST tools and access to the rest of the NCBI online resources are available.

Proper citation: NCBI Genome (RRID:SCR_002474) Copy   

•   Source: SciCrunch Registry

https://github.com/seqan/seqan/tree/master/apps/mason2

Collection of software tools for simulating biological sequences, including simulations of genome fragment sampling, random genomic sequences, methylation levels, and NGS reads.

Proper citation: Mason (RRID:SCR_002476) Copy   

•   Source: SciCrunch Registry

http://www.med.unc.edu/bric/ideagroup/free-softwares/libra-longitudinal-infant-brain-processing-package

A toolbox with graphical user interfaces for processing infant brain MR images. Longitudinal (or single-time-point) multimodality (including T1, T2, and FA) (or single-modality) data can be processed using the toolbox. Main functions of the software (step by step) include image preprocessing, brain extraction, tissue segmentation and brain labeling. Linux operating system (64 bit) is required. A workstation or server with memory >8G is recommended for processing many images simutaneously. The graphical user interfaces and overall framework of the software are implemented in MATLAB. The image processing functions are implemented with the combination of C/C++, MATLAB, Perl and Shell languages. Parallelization technologies are used in the software to speed up image processing.

Proper citation: iBEAT (RRID:SCR_002470) Copy   

•   Source: SciCrunch Registry

http://brainmeta.com/connectivity_cortical_references_web.php

Bibliography for primate cortical connectivity. The page displays the articles by their year of publication and links to PubMed.

Proper citation: Primate Cortical Connectivity Database (RRID:SCR_002468) Copy   

•   Source: SciCrunch Registry

http://deweylab.biostat.wisc.edu/psginfer/

Software for inference of alternative splicing from RNA-Seq data with probabilistic splice graphs.

Proper citation: PSGInfer (RRID:SCR_000243) Copy   

•   Source: SciCrunch Registry

http://www.structbioinfor.org/cascleave2/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A novel tool developed using Java program for the high-throughput in silico identification of substrate cleavage sites for various caspases from the amino acid sequences of the substrates.

Proper citation: Cascleave (RRID:SCR_000197) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/HEM.html

Software package that fits heterogeneous error models for analysis of microarray data

Proper citation: HEM (RRID:SCR_000194) Copy   

•   Source: SciCrunch Registry

http://www.aetionomy.eu/

Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.

Proper citation: AETIONOMY (RRID:SCR_000232) Copy   

•   Source: SciCrunch Registry

http://molegro-virtual-docker.software.informer.com/

An integrated platform for predicting protein-ligand interactions, the visualization of new ideas and analyzing protein targets.

Proper citation: Molegro Virtual Docker (RRID:SCR_000190) Copy   

•   Source: SciCrunch Registry

http://www.zju.edu.cn/english/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A public research university with twelve main academic disciplines that include science, engineering, agriculture and medicine. The university has campuses across China in locations such as Yuquan, Zhijiang and Zhoushan. It has studies available in undergraduate, graduate and post-doctorate degrees.

Proper citation: Zhejiang University; Zhejiang; China (RRID:SCR_000224) Copy   

•   Source: SciCrunch Registry

http://www.paradyn.org/mrnet/

A software-based network that provides efficient multicast and reduction communications for parallel and distributed tools and systems. Some key features of this resource include scalable data aggregation, multiple concurrent data channels and high-bandwidth communication.

Proper citation: MRNet (RRID:SCR_000225) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.babraham.ac.uk/projects/fastq_screen/

Software that allows you to screen a library of sequences in FastQ format against a set of sequence databases so you can see if the composition of the library matches with what you expect.

Proper citation: FastQ Screen (RRID:SCR_000141) Copy   

•   Source: SciCrunch Registry

http://deweylab.biostat.wisc.edu/rsem/

Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.

Proper citation: RSEM (RRID:SCR_000262) Copy   

•   Source: SciCrunch Registry

http://www.tcd.ie/

A public university, which is a part of the University of Dublin, and contains three main academic disciplines: Arts, Humanities and Social Sciences; Engineering, Mathematics and Sciences; and Health Sciences. The institution offers degrees at the undergraduate and graduate level.

Proper citation: Trinity College Dublin; Dublin; Ireland (RRID:SCR_000261) Copy   

•   Source: SciCrunch Registry

http://www.ufl.edu/

Public research university in Gainesville, Florida, United States. Member of state university system of Florida with undergraduate and graduate programs in arts and sciences.

Proper citation: University of Florida; Florida; USA (RRID:SCR_000145) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/ms-spectre/

Software that provides (Quantitiave) analysis of multiple ls-ms(ms) runs, using mzXML import of raw data coming from spectrometers.

Proper citation: MS-Spectre (RRID:SCR_000266) Copy   

•   Source: SciCrunch Registry