We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
A R package for multiple marker meta-analysis.
Next-generation genome browser software designed for the latest generation of genome data.
A freely available software tool available for the Windows and Linux platform, as well as the Online version Applet, for the analysis, comparison and search of digital reconstructions of neuronal morphologies. For the quantitative characterization of neuronal morphology, LM computes a large number of neuroanatomical parameters from 3D digital reconstruction files starting from and combining a set of core metrics. After more than six years of development and use in the neuroscience community, LM enables the execution of commonly adopted analyses as well as of more advanced functions, including: (i) extraction of basic morphological parameters, (ii) computation of frequency distributions, (iii) measurements from user-specified subregions of the neuronal arbors, (iv) statistical comparison between two groups of cells and (v) filtered selections and searches from collections of neurons based on any Boolean combination of the available morphometric measures. These functionalities are easily accessed and deployed through a user-friendly graphical interface and typically execute within few minutes on a set of 20 neurons. The tool is available for either online use on any Java-enabled browser and platform or may be downloaded for local execution under Windows and Linux.
Ontology that describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules. It is built according to ontology development best practices (re-use of existing ontologies; formal definitions of terms; use of foundational ontologies). It describes the parts of neurons and glia and how these parts come together to define supracellular structures such as synapses and neuropil. Molecular specializations of each compartment and cell type are identified. The SAO was designed with the goal of providing a means to annotate cellular and subcellular data obtained from light and electron microscopy, including assigning macromolecules to their appropriate subcellular domains. The SAO thus provides a bridge between ontologies that describe molecular species and those concerned with more gross anatomical scales. Because it is intended to integrate into ontological efforts at these other scales, particular care was taken to construct the ontology in a way that supports such integration.
Collection of pathways and pathway annotations. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways (signaling, innate and acquired immune function, transcriptional regulation, translation, apoptosis and classical intermediary metabolism) . Provides website to navigate pathway knowledge and a suite of data analysis tools to support the pathway-based analysis of complex experimental and computational data sets.
The mission of the Morehouse School of Medicine Neuroscience Institute (MSMNI) is to create a supportive and challenging environment for the investigation and teaching of the functional organization of the nervous system, and to seek ways to reduce suffering brought about by neurological disorders. Members of the MSM NI are involved in teaching graduate students, medical students, and health care professionals about researching and treating medical conditions that are caused by or are rooted in the central nervous system. Additionally, MSM NI offers an 8-week Summer Research Program to qualified undergraduate, post-baccalaureate and first-year medical school students. Funding and administrative support were secured from the National Institutes of Health Office on Research for Minority Health and the National Institute for Neurological Disorders and Stroke (NINDS), respectively. The Neuroscience Institute is composed of selected faculty members from the Department of Neurobiology and the Department of Pharmacology at Morehouse School of Medicine who are conducting grant supported research. MSMNI research areas cover a broad range of cellular and molecular neuroscience and include the molecular biology and physiology of circadian rhythm, mechanisms of sleep and sleep disorders, mechanisms of stroke and stroke prevention, photoreceptor and retinal physiology, glutamate receptor physiology and mechanisms of hyperexcitability in epilepsy. Investigators use a variety of experimental preparations including whole animals, the intact portions of the central nervous system, and simplified preparations, such as tissue slices and single cells, to study cellular activities and cell-cell communication under more controlled conditions.
At the Department of Pharmacology & Toxicology at Michigan State University, we combine integrative research, active learning and intellectual enrichment to prepare the student for advancement and leadership in their chosen field. The Department provides courses for undergraduate students, graduate students, medical students of the allopathic, osteopathic and veterinary colleges, and nursing students. In addition, specialized courses of study are offered in areas of professional development and life-long learning. From molecular and cellular levels to organ systems and whole animal models, our graduate and undergraduate programs encompass multiple areas of study, empowering students to challenge the boundaries of knowledge and chart their own unique path in the biomedical sciences. The disciplines of pharmacology and toxicology play a momentous role in human health today, and their applications in the professional world are vast. The department offers: * Pharmacology & Toxicology Graduate Doctoral Program * Online MS Programs ** Online Professional Science Masters in Integrative Pharmacology ** Online Masters in Pharmacology * Undergraduate Courses in Pharmacology & Toxicology * Dual Major Graduate Program in Toxicology (joint Pharmacology & Toxicology/Environmental Toxicology graduate program) * NIGMS Integrative and Organ Systems Pharmacology Short Course * Summer Undergraduate Research Fellowships
Software tool for analyzing datasets of genome-wide copy number variation to identify driver aberrations in cancer.
A Java interface to the mzTab data exchange format for reporting a summary of proteomics results.
Database of scientific photos, illustrations, and videos made available by the National Institute of General Medical Sciences.
The mission of the Department of Pharmaceutical Sciences is to make scholarly contributions to the discipline of pharmaceutical sciences and related fields. Education within the department offers a high quality learning environment that includes Ph.D. and Pharm.D./Ph.D. degree programs. Although not required for entry into pharmacy practice, a one-year residency is offered and affords the Pharm.D. graduate an opportunity to develop expertise in clinical pharmacy practice and specialty areas. The graduate program leading to the Ph.D. degree in pharmaceutical sciences is designed for students seeking teaching and research careers in academic institutions, the pharmaceutical industry and other health-related agencies. An interdisciplinary approach prepares graduates to perform independent research, to encourage scholarly development and to acquire teaching skills. Areas of specialization include pharmacology, pharmaceutics, toxicology, and medicinal chemistry. The Doctor of Pharmacy (Pharm.D.)/Doctor of Philosophy (Ph.D.) Degree Program enables highly qualified students to obtain both degrees in a shortened period of time. This Pharm.D./Ph.D. Degree program is designed primarily for students who are strongly motivated toward an academic/ research career in the pharmaceutical sciences. The Program is flexible enough to accommodate individuals of varied educational backgrounds.
Software providing a Linux-based High Performance Computing (HPC) enabled framework for high-throughput data analysis that minimizes overhead for set up and processing of new projects yet maintains full flexibility of custom scripting when processing raw sequence data.
Graduate Program in Pharmacology at Meharry Medical College embraces the broad definition of pharmacology as the study of how chemical agents affect living processes; the chemicals involved include agents such as endogenous hormones, neurotransmitters, and/or growth factors; toxic substances in our environment; and pharmaceutically developed drugs. The breadth of our scientific environment is manifested by faculty who study the fate of drugs once ingested and the variability of drug response in varying patient populations (a discipline known as pharmacokinetics), as well as faculty who study the mechanisms by which drugs and endogenous agents work (a discipline known as pharmacodynamics). A unique strength of our research and training environment is the inter-disciplinary nature of the program, which encompasses faculty from the four divisions of the Department of Biomedical Science and Departments of Internal Medicine and Neurology.
Software that computes the probability distribution for the frequency of the minor allele in a certain population, at a certain position in the genome.
A Python based language and execution environment for make-like workflows. The system supports the use of automatically inferred multiple named wildcards (or variables) in input and output filenames.
Database of images of putative biological pathways, macromolecular structures, gene families, and cellular relationships. It is of use to those who are working with large sets of genes or proteins using cDNA arrays, functional genomics, or proteomics. The rationale for this collection is that: # Except in a few cases, information on most biological pathways in higher eukaryotes is non-existent, incomplete, or conflicting. # Similar biological pathways differ by tissue context, developmental stages, stimulatory events, or for other complex reasons. This database allows comparisons of different variations of pathways that can be tested empirically. # The goal of this database is to use images created directly by biomedical scientists who are specialists in a particular biological system. It is specifically designed to NOT use average, idealized or redrawn pathways. It does NOT use pathways defined by computer algorithm or information search approaches. # Information on biological pathways in higher eukaryotes generally resides in the images and text of review papers. Much of this information is not easily accessible by current medical reference search engines. # All images are attributable to the original authors. All pathways or other biological systems described are graphic representations of natural systems. Each pathway is to be considered a work in progress. Each carries some degree of error or incompleteness. The end user has the ultimate responsibility to determine the scientific correctness and validity in their particular biological system. Image/pathway submissions are welcome.
A Python package to facilitate running tools with nested combinations of parameters and inputs. It provides three components: a module to build nested directory structures corresponding to choices of parameters; the nestrun script to run a given command using each set of parameter choices; the nestagg script to aggregate results of the individual runs into a CSV file, as well as support for more complex aggregation. Also included is a module for easily specifying nested dependencies for the SCons build tool, enabling incremental builds.
Software tool for running and managing bioinformatics pipelines. It specializes in enabling users to turn existing pipelines based on shell scripts or command line tools into highly flexible, adaptable and maintainable workflows with a minimum of effort. Bpipe ensures that pipelines execute in a controlled and repeatable fashion and keeps audit trails and logs to ensure that experimental results are reproducible. Requiring only Java as a dependency, it is fully self-contained and cross-platform, making it very easy to adopt and deploy into existing environments.
An ontology to capture all aspects of RNA - from primary sequence to alignments, secondary and tertiary structure from base pairing and base stacking to sophisticated motifs.
A database that provides quantitative real time (qRT) PCR primers for 99.96% human RefSeq sequences. For 99% of intron-bearing genes, the PCR product will cross an exon-exon border which overlaps one of the largest introns. Primers are assumed to have a uniform annealing temperature of 60C, allowing them to be used in large-scale assays.