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Portal includes information about genetic studies of drug abuse in outbred rats. Data center created in 2014 to perform genome wide association studies on numerous behavioral traits that have well established relevance to drug abuse using outbred rats.
Proper citation: NIDA center for genetic studies of drug abuse in outbred rats (RRID:SCR_021788) Copy
https://github.com/ABCD-STUDY/pearson-central-end-point
Data collection software as an end-point for centrally storing data from the Pearsons Q-Interactive.
Proper citation: pearson-central-end-point (RRID:SCR_016034) Copy
https://github.com/ABCD-STUDY/redcap-hook-framework
Software tool to organize and deploy custom hooks in a single project or across the entire instance. It features multi-language support for data entry and survey pages, a bar-code for text fields, and highlighting of rows on data entry and survey pages that have been filled out.
Proper citation: redcap-hook-framework (RRID:SCR_016028) Copy
Web tool to classify citation statements from scientific articles using deep learning. Used for discovering and evaluating scientific articles via Smart Citations.
Proper citation: scite (RRID:SCR_018568) Copy
https://github.com/denisecailab/minian
Software miniscope analysis pipeline that requires low memory and computational demand so it can be run without specialized hardware. Offers interactive visualization that allows users to see how parameters in each step of pipeline affect output.
Proper citation: Minian (RRID:SCR_022601) Copy
https://imputationserver.sph.umich.edu/index.html#!pages/home
Web based service for imputation that facilitates access to new reference panels and improves user experience and productivity. Server implements whole genotype imputation workflow using MapReduce programming model for efficient parallelization of computationally intensive tasks. Genotype imputation service using Minimac4.
Proper citation: Michigan Imputation Server (RRID:SCR_023554) Copy
https://github.com/ABCD-STUDY/simple-t1-motion-detection
Software to measure the amount of ghosting artifacts in T1-weighted DICOM images. This program reads DICOM images and calculates a measure of the noise structure in one part of the image.
Proper citation: simple-t1-motion-detection (RRID:SCR_016022) Copy
http://courses.jax.org/2012/addiction.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This course emphasizes genetic applications and approaches to drug addiction research through methodological instruction based on literature, data sets and informatics resources drawn from studies of addiction related phenotypes. The course includes plenary sessions on major progress in addiction genetics, and discussion sessions in which students present their work for discussion on applications of genetic methods. Students will leave the course able to design and interpret genetic and genomic studies of addiction as they relate to their specific research question, and will be able to make use of current bioinformatics resources to identify research resources and make use of public data sources in their own research.
Proper citation: Short Course on the Genetics of Addiction (RRID:SCR_005560) Copy
http://vox.pharmacology.ucla.edu/home.html
Two-dimensional images of gene expression for 20,000 genes in a coronal slice of the mouse brain at the level of the striatum by using microarrays in combination with voxelation at a resolution of 1 cubic mm gene expression patterns in the brain obtained through voxelation. Voxelation employs high-throughput analysis of spatially registered voxels (cubes) to produce multiple volumetric maps of gene expression analogous to the images reconstructed in biomedical imaging systems.
Proper citation: Voxelation Map of Gene Expression in a Coronal Section of the Mouse Brain (RRID:SCR_008065) Copy
http://www.mbl.org/mbl_main/atlas.html
High-resolution electronic atlases for mouse strains c57bl/6j, a/j, and dba/2j in either coronal or horizontal section. About this Atlas: The anterior-posterior coordinates are taken from an excellent print atlas of a C57BL/6J brain by K. Franklin and G. Paxinos (The Mouse Brain in Stereotaxic Coordinates, Academic Press, San Diego, 1997, ISBN Number 0-12-26607-6; Library of Congress: QL937.F72). The abbreviations we have used to label the sections conform to those in the Franklin-Paxinos atlas. A C57BL/6J mouse brain may contain as many as 75 million neurons, 23 million glial cells, 7 million endothelial cells associated with blood vessels, and 3 to 4 million miscellaneous pial, ependymal, and choroid plexus cells (see data analysis in Williams, 2000). We have not yet counted total cell number in DBA/2J mice, but the counts are probably appreciably lower.The brain and sections were all processed as described in our methods section. The enlarged images have a pixel count of 1865 x 1400 and the resolution is 4.5 microns/pixel for the processed sections.Plans: In the next several years we hope to add several additional atlases of the same sort for other strains of mice. A horizontal C57BL/6J atlas and a DBA/2J coronal atlas were completed by Tony Capra, summer 2000, and additional atlases may be made over the next several years. As describe in the MBL Procedures Section is not hard to make your own strain-specific atlas from the high resolution images in the MBL.
Proper citation: Mouse Brain Atlases (RRID:SCR_007127) Copy
http://www.nitrc.org/projects/dti_rat_atlas/
3D DTI anatomical rat brain atlases have been created by the UNC- Chapel Hill Department of Psychiatry and the CAMID research collaboration. There are three age groups, postnatal day 5, postnatal day 14, and postnatal day 72. The subjects were Sprague-Dawley rats that were controls in a study on cocaine abuse and development. The P5 and P14 templates were made from scans of twenty rats each (ten female, ten male); the P72, from six females. The individual cases have been resampled to isotropic resolution, manually skull-stripped, and deformably registered via an unbiased atlas building method to create a template for each age group. Each template was then manually segmented using itk-SNAP software. Each atlas is made up of 3 files, a template image, a segmentation, and a label file.
Proper citation: 3D DTI Atlas of the Rat Brain In Postnatal Day 5 14 and Adulthood (RRID:SCR_009437) Copy
https://reprint-apms.org/?q=chooseworkflow
Database of Mass Spectrometry contaminants and pipeline for Affinity Purification coupled with Mass Spectrometry analysis. Contaminant repository for affinity purification mass spectrometry data. Database of standardized negative controls. Used to identify protein-protein interactions.
Proper citation: CRAPome (RRID:SCR_025008) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FIRST
Software model based segmentation and registration tool. Used for segmentation of sub-cortical structures. Introduces basic segmentation and vertex analysis for detecting group differences.
Proper citation: FMRIB’s Integrated Registration and Segmentation Tool (RRID:SCR_024921) Copy
https://github.com/calico/borzoi
Software package to access the Borzoi models, which are convolutional neural networks trained to predict RNA-seq coverage at 32bp resolution given 524kb input sequences.
Proper citation: Borzoi (RRID:SCR_026619) Copy
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