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http://neuralensemble.org/

Community-based initiative to promote and co-ordinate open-source software development in neuroscience hosting a number of software projects for computational and systems neuroscience, including PyNN, NeuroTools, Brian, Neo, OpenElectrophy, libNeuroML and Sumatra. Some of the projects use their Trac installation, others are on GitHub. By grouping these projects together under the NeuralEnsemble umbrella, the aim is to maximize interoperability and build components that can easily be combined into powerful systems for brain simulations and advanced data analysis. An annual CodeJam workshop is organized, bringing together scientists, graduate students, and scientific programmers to share ideas, present their work, and write code together. These workshops have been hugely effective in catalyzing open-source neuroscience software development. There is a NeuralEnsemble Google group for discussion of collaborative neuroscience software development (mainly in Python, but users of other languages are welcome!) and to provide software support.

Proper citation: NeuralEnsemble (RRID:SCR_001382) Copy   

•   Source: SciCrunch Registry

http://clarityresourcecenter.org/

Protocols and other training materials related to the CLARITY protocol, a technique for the transformation of intact tissue into a nanoporous hydrogel-hybridized form (crosslinked to a three-dimensional network of hydrophilic polymers) that is fully assembled but optically transparent and macromolecule-permeable.

Proper citation: Clarity resources (RRID:SCR_001387) Copy   

•   Source: SciCrunch Registry

https://services.healthtech.dtu.dk/services/NetNGlyc-1.0/

Server that predicts N-Glycosylation sites in human proteins using artificial neural networks that examine the sequence context of Asn-Xaa-Ser/Thr sequons. NetNGlyc 1.0 is also available as a stand-alone software package, with the same functionality as the service above. Ready-to-ship packages exist for the most common UNIX platforms.

Proper citation: NetNGlyc (RRID:SCR_001570) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/tools/glyvicinity/

Service to generate statistics about the amino acids present in the vicinity of carbohydrate residues. Besides the amino acids in sequential neighborhood of glycosylation sites (analysed by GlySeq), those in the spatial vicinity of carbohydrate residues determine the characteristics of glycoproteins. The latter ones are of special interest for the examination of carbohydrate-binding proteins. Since carbohydrate moieties are not covalently bound in these cases, sequence analysis comparable to that for glycosylation sites is not possible there. GlyVicinity performs statistical analyses on the types of amino acids around carbohydrate chains and on the atoms forming the closest contacts between protein and carbohydrate residues. Results are based on weekly updated datasets derived from the Protein Data Bank (PDB).

Proper citation: GlyVicinity (RRID:SCR_001567) Copy   

•   Source: SciCrunch Registry

https://services.healthtech.dtu.dk/services/YinOYang-1.2/

Server that produces neural network predictions for O-beta-GlcNAc attachment sites in eukaryotic protein sequences. This server can also use NetPhos, to mark possible phosphorylated sites and hence identify Yin-Yang sites. YinOYang 1.2 is available as a stand-alone software package, with the same functionality. Ready-to-ship packages exist for the most common UNIX platforms.

Proper citation: YinOYang (RRID:SCR_001605) Copy   

•   Source: SciCrunch Registry

http://dknet.org/

The NIDDK Information Network (dkNET) is a community-based network to serve needs of basic and clinical investigators that includes large pools of data and research resources relevant to mission of National Institute of Diabetes and Digestive and Kidney Disease.

Proper citation: NIDDK Information Network (dkNET) (RRID:SCR_001606) Copy   

•   Source: SciCrunch Registry

http://www.lifetechnologies.com/order/catalog/product/4327091

THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 28, 2017. A resequencing package designed for mutation detection and analysis, SNP discovery and validation, pathogen sub-typing, allele identification and sequence confirmation.

Proper citation: SeqScape Software (RRID:SCR_001604) Copy   

•   Source: SciCrunch Registry

http://kesm.cs.tamu.edu

A web-based, light-weight 3D volume viewer that serves large volumes (typically the whole brain) of high-resolution mouse brain images (~1.5 TB per brain, ~1 um resolution) from the Knife-Edge Scanning Microscope (KESM), invented by Bruce H. McCormick. Currently, KESMBA serves the following data sets: * Mouse: Whole-brain-scale Golgi (acquired 2008 spring): neuronal morphology: Choe et al. (2009) * Mouse: Whole-brain India Ink (acquired 2008 spring): vascular network: Choe et al. (2009); Mayerich et al. (2011); * Mouse: Whole-brain Golgi (acquired 2011 summer): neuronal morphology: Choe et al. (2011); Chung et al. (2011); * Mouse: Whole-brain Nissl (acquired 2009-2010 winter): somata (Choe et al. 2010) (Coming soon) They will ship you the full data set on a hard drive if you provide them with the hard drive and shipping cost.

Proper citation: KESM brain atlas (RRID:SCR_001559) Copy   

•   Source: SciCrunch Registry

https://ftp.bigbrainproject.org/

Ultrahigh resolution 3D human brain model at nearly cellular resolution of 20 micrometers, based on reconstruction of histological sections. Provides considerable neuroanatomical insight into human brain, thereby allowing extraction of microscopic data for modeling and simulation. Enables testing of hypotheses on optimal path lengths between interconnected cortical regions or on spatial organization of genetic patterning, redefining traditional neuroanatomy maps such as those of Brodmann and von Economo.

Proper citation: BigBrain (RRID:SCR_001593) Copy   

•   Source: SciCrunch Registry

https://www.ebi.ac.uk/jdispatcher/msa/clustalo?stype=protein

Software package as multiple sequence alignment tool that uses seeded guide trees and HMM profile-profile techniques to generate alignments between three or more sequences. Accepts nucleic acid or protein sequences in multiple sequence formats NBRF/PIR, EMBL/UniProt, Pearson (FASTA), GDE, ALN/Clustal, GCG/MSF, RSF.

Proper citation: Clustal Omega (RRID:SCR_001591) Copy   

•   Source: SciCrunch Registry

https://edic.bsc.gwu.edu

Publications from a multi-center, longitudinal, observational study examining the risk factors associated with the long-term complications of type 1 diabetes. The study began in 1994 and follows the 1441 participants previously enrolled in the Diabetes Control and Complications Trial (DCCT), http://diabetes.niddk.nih.gov/dm/pubs/control/index.aspx. The primary aim of EDIC is to examine the long-term effects of conventional vs. intensive diabetes treatment received during the DCCT on the subsequent development and progression of microvascular, neuropathic and cardiovascular complications. This involves studying the influence of genetic factors and other factors such as HbA1c, blood pressure, lipid levels, and treatment modalities on the development and progression of these complications. Annual or biennial measurements (using DCCT methods, standardized protocols and central laboratories) of vascular events, albumin excretion, GFR, ECG, ankle-brachial BP index, serum lipids and HbA1c allows the following analyses: 1) continuation of intention-to-treat analyses to determine long-term effects of prior separation of glycemic levels; 2) risk factors for macrovascular outcomes; 3) correlation of progression of micro- and macrovascular outcomes. The current updated version of the EDIC Protocol is available for download. EDIC is made up of 28 clinical centers, one data coordinating center and one clinical coordinating center.

Proper citation: Epidemiology of Diabetes Interventions and Complications (RRID:SCR_001468) Copy   

•   Source: SciCrunch Registry

http://jilab.biostat.jhsph.edu/software/tilemap/index.htm

Software tool for microarray tile mapping. It utilizes ChIP-chip peak calling to identify genomic loci that show transcriptional activities and transcription factor binding patterns of interest.

Proper citation: TileMap (RRID:SCR_001589) Copy   

•   Source: SciCrunch Registry

http://sherlock.ucsf.edu/

Service to discover disease genes in GWAS using eQTL signature matching by simply submitting your list of GWAS associations (SNPs and p-values). It is important to upload all SNPs in your association study, not just the top hits. Sherlock may be able to group multiple lower-confidence SNPs to discover functionally-important genes.

Proper citation: Sherlock (RRID:SCR_001628) Copy   

•   Source: SciCrunch Registry

http://bios.unc.edu/~weisun/software/asSeq.htm

Software that establishes a statistical framework for future developments of eQTL (expression quantitative trait locus) mapping methods using RNA-seq data (e.g., linkage-based eQTL mapping), and the joint study of multiple genetic markers and/or multiple genes. This R package has been submitted to R/bioconductor. It will be available on bioconductor soon. It is recommended to install this R package from bioconductor. You can also install this R package from the source code by yourself. Since the R package contains C code, a C complier is required for installation. With both R and appropriate c complier installed, this R package can be installed using the following command (in Mac Terminal window or Windows command window) R CMD INSTALL asSeq

Proper citation: asSeq (RRID:SCR_001625) Copy   

•   Source: SciCrunch Registry

https://github.com/beiko-lab/gengis

A bioinformatics application that allows users to combine digital map data with information about biological sequences collected from the environment. It provides a 3D graphical interface in which the user can navigate and explore the data, as well as a Python interface that allows easy scripting of statistical analyses using the Rpy libraries.

Proper citation: GenGIS (RRID:SCR_001465) Copy   

•   Source: SciCrunch Registry

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

A set of tools for analysing tiling array ChIP/chip, DNAse hypersensitivity, or other experiments that result in regions of the genome showing enrichment. It does not rely on a specific array technology (although the array should be a tiling array), is very general (can be applied in experiments resulting in regions of enrichment), and is very insensitive to array noise or normalization methods. It is also very fast and can be applied on whole-genome tiling array experiments quite easily with enough memory.

Proper citation: ACME (RRID:SCR_001464) Copy   

•   Source: SciCrunch Registry

http://eddylab.org/software.html

Software library containing tools for statistical manipulations of data. Tools include profile hidden Markov models for biological sequence analysis, RNA structure analysis, and a prototype noncoding RNA genefinder.

Proper citation: Eddy Lab Software (RRID:SCR_001458) Copy   

•   Source: SciCrunch Registry

http://alpha-1foundation.org/

A not-for-profit organization to increase awareness of and find a cure for Alpha-1 Antitrypsin Deficiency that has invested nearly $39 million to support Alpha-1 research at more than 70 institutions in North America, Europe and Australia. They are dedicated to providing the leadership and resources that will result in increased research, improved health, worldwide detection, and a cure for Alpha-1 Antitrypsin Deficiency. The Foundation has developed a solid infrastructure to promote research and the development of new therapies for improving the quality of life for those diagnosed with Alpha-1. It has fostered collaborations with investigators throughout the United States and Europe, working closely with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), individuals affected by Alpha-1, and the pharmaceutical industry to expedite the development of improved therapies. The Foundation participates in industry and government liaison groups and develops strategic alliances with government, industry and other national and international health and research organizations. They're the source for all Alpha-1 and COPD-related info.

Proper citation: Alpha-1 Foundation (RRID:SCR_001498) Copy   

•   Source: SciCrunch Registry

http://www.healthystudy.org/

Primary prevention trial conducted in 42 middle schools at 7 locations across the US to impact risk factors for type 2 diabetes in adolescents. Students were recruited at the start of 6th grade (fall 2006) and followed to the end of 8th grade (spring 2009). Half of the schools were randomized to receive an intervention that integrated four components: the school nutrition environment, physical education class activities, behavior change initiatives, and educational and promotional communications activities.

Proper citation: HEALTHY study (RRID:SCR_001530) Copy   

•   Source: SciCrunch Registry

http://www.immuneprofiling.org/

Consortium established to capitalize on recent advances in immune profiling methods in order to create a novel public resource that characterizes diverse states of the human immune system following infection; prior to and following vaccination against an infectious disease; or prior to and following treatment with an immune adjuvant that targets a known innate immune receptor(s). Through this program, well-characterized human cohorts are studied using a variety of modern analytic tools, including multiplex transcriptional, cytokine, and proteomic assays; multiparameter phenotyping of leukocyte subsets; assessment of leukocyte functional status; and multiple computational methods. Centralized research resources and a comprehensive, centralized database will be constructed for use by the greater scientific community. The information gained from the program will provide a comprehensive understanding of the human immune system and its regulation, and will reveal novel associations between components of the immune system and other biological systems, identify novel immune mediators and pathways, establish predictors of vaccine safety in different populations, and enable the rapid evaluation of different vaccine formulations and administration regimens in human populations.

Proper citation: Human Immunology Project Consortium (RRID:SCR_001491) Copy   

•   Source: SciCrunch Registry