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Software tool for multi level analysis of applications optimized for ImageXpress instruments. High-content image analysis software featuring time lapse analysis. Used for 2D and 3D imaging.
Proper citation: MetaXpress (RRID:SCR_016654) Copy
Platform as a web-based interactive environment to automatically identify, explore and visualize homology and functional annotations for assembled transcripts.
Proper citation: Genotate (RRID:SCR_016659) Copy
https://github.com/WilsonSayresLab/XYalign
Software tool for identifying, understanding, and correcting technical biases on the sex chromosomes in next generation sequencing data.
Proper citation: XYalign (RRID:SCR_016661) Copy
Python implementation of the Loom file format to store and organize very large omics datasets, consisting of a main matrix, optional additional layers, a variable number of row and column annotations and sparse graph objects. Used to store single-cell gene expression data. Official Python library (API) used to create, read, and manipulate .loom files, supporting out-of-memory operations to handle datasets larger than RAM.
Proper citation: LoomPy (RRID:SCR_016666) Copy
http://www.ccb.jhu.edu/software/centrifuge/
Software for rapid and sensitive classification of metagenomic sequences. Used for the classification of DNA sequences from microbial samples and analysis of large metagenomics data sets on conventional desktop computers.
Proper citation: Centrifuge Classifier (RRID:SCR_016665) Copy
https://www.schrodinger.com/macromodel
Software package for molecular modeling. Computes free energy changes using free energy perturbation method. Used to examine molecular conformations, molecular motion, and intermolecular interactions, such as those in a ligand-receptor complex.
Proper citation: MacroModel (RRID:SCR_016747) Copy
Collection of curated papillomavirus genomic sequences, accompanied by web-based sequence analysis tools. Database and web applications support the storage, annotation, analysis, and exchange of information.
Proper citation: PaVE (RRID:SCR_016599) Copy
https://github.com/vaklip/transfer_learning_ccnn
Software program to implement transfer learning for a connectome convolutional neural network trained to classify functional connectomes using Tensorflow.
Proper citation: transfer_ learning_ ccnn (RRID:SCR_016590) Copy
http://developingmouse.brain-map.org/
Map of gene expression in developing mouse brain revealing gene expression patterns from embryonic through postnatal stages. Provides information about spatial and temporal regulation of gene expression with database. Feature include seven sagittal reference atlases created with a developmental ontology. These anatomic atlases may be viewed alongside in situ hybridization (ISH) data as well as by itself.
Proper citation: Allen Developing Mouse Brain Atlas (RRID:SCR_002990) Copy
http://bibiserv.techfak.uni-bielefeld.de/dialign/
Tool for multiple sequence alignment using various sources of external information that is particularly useful to detect local homologies in sequences with low overall similarity. While standard alignment methods rely on comparing single residues and imposing gap penalties, DIALIGN constructs pairwise and multiple alignments by comparing entire segments of the sequences. No gap penalty is used. This approach can be used for both global and local alignment, but it is particularly successful in situations where sequences share only local homologies. Several versions of DIALIGN are available online at GOBICS, http://dialign.gobics.de/
Proper citation: DIALIGN (RRID:SCR_003041) Copy
http://cbio.mskcc.org/public/raetschlab/user/drewe/rdiff/
Software tool for detecting differential RNA processing from RNA-Seq data. It implements two statistical tests, rDiff.parametric and rDiff.nonparametric, to detect changes of the RNA processing between two samples.
Proper citation: rDiff (RRID:SCR_003162) Copy
ISCoS promotes the highest standard of care in the practice of spinal cord injury for men, women and children throughout the world. Through its medical and multi disciplinary team of Professionals ISCoS endeavours to foster education, research and clinical excellence. ISCoS has a membership of over 1,000 Clinicians and Scientists from 87 countries. They regularly update their knowledge at the Annual Scientific Meeting held in a different country each year. Goals of ISCoS: :- Serve as an international impartial, non-political and non-profit making association whose purpose is to study all problems relating to traumatic and non-traumatic lesions of the spinal cord. This includes causes, prevention, basic and clinical research, medical and surgical management, clinical practice, education, rehabilitation and social reintegration. This society will function in close collaboration with other national and international bodies, thereby encouraging the most efficient use of available resources. :- Provide a scientific exchange among its members and others by collecting and disseminating information through publications, correspondence, exhibits, regional and international seminars, symposia, conferences and otherwise. :- Advise, encourage, promote and when requested, assist in efforts to co-ordinate or guide research, development and evaluation activities related to spinal cord lesions throughout the world. :- Advise, encourage, guide and support the efforts of those responsible for the care of patients involved and when requested, correlate these activities throughout the world. :- Advise, encourage, guide and support the efforts of those responsible for the education and training of medical professionals and professionals allied to medicine and when requested, correlate these activities throughout the world.
Proper citation: International Spinal Cord Society (RRID:SCR_002908) Copy
http://www.ncbi.nlm.nih.gov/lovd/home.php?select_db=OCRL
The Lowe Syndrome Mutation Database is now being maintained by the National Center for Biotechnology Information (NCBI) at the National Institutes of Health. A database of mutations causing Lowe syndrome. Information on new mutations may be submitted online. Lowe oculocerebrorenal syndrome is an X-linked disorder caused by mutations in the OCRL1 gene, which encodes a 105-kDa Golgi protein with phosphatidylinositol (4,5) bisphosphate 5-phosphatase activity. genetics
Proper citation: Lowes Syndrome Mutation Database (RRID:SCR_002907) Copy
http://biomed.emory.edu/PROGRAM_SITES/MSP/
The Molecular and Systems Pharmacology graduate program at Emory University offers broad training in the biomedical sciences for students interested in learning how the drugs of today work and how the novel therapeutics of tomorrow can be developed. The Program offers a specialization in toxicology. Emory University was recently rated by The Scientist magazine as the number 1 university in the world in terms of impact in pharmacology and toxicology research. Particular strengths within the MSP graduate school program at Emory include neuropharmacology, cancer biology, AIDS research, cardiovascular pharmacology, toxicology, and chemical biology. Ph.D. training in the Emory MSP program provides students with an ideal preparation for successful careers in the biotechnology and pharmaceutical industries as well as in academic research, teaching, government research, patent law and other disciplines that depend upon knowledge of fundamental pharmacological principles.
Proper citation: Emory University, Molecular and Systems Pharmacology (RRID:SCR_003351) Copy
The Department of Pharmacology & Physiology at the George Washington University provides unique research opportunities at the predoctoral and postdoctoral levels. They also offer courses in Pharmacology and Physiology for Medical and Health Sciences students, as well as a number of graduate-level courses. Our mission is to provide the highest quality of educational opportunities to our community, and to advance scientific knowledge and improve human health through leading-edge research in the biomedical sciences.
Proper citation: George Washington University, Department of Pharmacology and Physiology (RRID:SCR_003358) Copy
Database of journal information that provides tools to search, sort, filter, compare, and evaluate scholarly journals. In addition to searching by journal name, category or publisher, authors can use title and abstract of paper to discover journals that have already published articles on similar topics. Data sources include major industry data sets, public resources, information submitted directly by journal editors, and real-life publishing experiences submitted by authors.
Proper citation: JournalGuide (RRID:SCR_003236) Copy
A functional network for laboratory mouse based on integration of diverse genetic and genomic data. It allows the users to accurately predict novel functional assignments and network components. MouseNET uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the mouseNET algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. The graph may be explored further. As you move the mouse over genes in the network, interactions involving these genes are highlighted.If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed.
Proper citation: MouseNET (RRID:SCR_003357) Copy
An open XML-based language used to describe the formatting of citations and bibliographies. CSL has become the standard way to add citation support to software.
Proper citation: Citation Style Language (RRID:SCR_003234) Copy
http://niftilib.sourceforge.net
Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future. Niftilib has been developed by members of the NIFTI DFWG and volunteers in the neuroimaging community and serves as a reference implementation of the nifti-1 file format. In addition to being a reference implementation, we hope it is also a useful i/o library. Niftilib code is released into the public domain, developers are encouraged to incorporate niftilib code into their applications, and, to contribute changes and enhancements to niftilib. Please contact us if you would like to contribute additonal functionality to the i/o library.
Proper citation: Niftilib (RRID:SCR_003355) Copy
http://function.princeton.edu/GOLEM/index.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented July 7, 2017. Welcome to the home of GOLEM: An interactive, graphical gene-ontology visualization, navigation,and analysis tool on the web. GOLEM is a useful tool which allows the viewer to navigate and explore a local portion of the Gene Ontology (GO) hierarchy. Users can also load annotations for various organisms into the ontology in order to search for particular genes, or to limit the display to show only GO terms relevant to a particular organism, or to quickly search for GO terms enriched in a set of query genes. GOLEM is implemented in Java, and is available both for use on the web as an applet, and for download as a JAR package. A brief tutorial on how to use GOLEM is available both online and in the instructions included in the program. We also have a list of links to libraries used to make GOLEM, as well as the various organizations that curate organism annotations to the ontology. GOLEM is available as a .jar package and a macintosh .app for use on- or off- line as a stand-alone package. You will need to have Java (v.1.5 or greater) installed on your system to run GOLEM. Source code (including Eclipse project files) are also available. GOLEM (Gene Ontology Local Exploration Map)is a visualization and analysis tool for focused exploration of the gene ontology graph. GOLEM allows the user to dynamically expand and focus the local graph structure of the gene ontology hierarchy in the neighborhood of any chosen term. It also supports rapid analysis of an input list of genes to find enriched gene ontology terms. The GOLEM application permits the user either to utilize local gene ontology and annotations files in the absence of an Internet connection, or to access the most recent ontology and annotation information from the gene ontology webpage. GOLEM supports global and organism-specific searches by gene ontology term name, gene ontology id and gene name. CONCLUSION: GOLEM is a useful software tool for biologists interested in visualizing the local directed acyclic graph structure of the gene ontology hierarchy and searching for gene ontology terms enriched in genes of interest. It is freely available both as an application and as an applet.
Proper citation: GOLEM An interactive, graphical gene-ontology visualization, navigation, and analysis tool (RRID:SCR_003191) Copy
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