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Showing 20 out of 29,142 Resources on page 1284

Michigan State University, Department of Pharmacology and Toxicology

At the Department of Pharmacology &amp; 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

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  • SciCrunch
  • 17 years ago - by Anonymous

JISTIC

Software tool for analyzing datasets of genome-wide copy number variation to identify driver aberrations in cancer.

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  • SciCrunch
  • 13 years ago - by Anonymous

jmzTab

A Java interface to the mzTab data exchange format for reporting a summary of proteomics results.

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  • SciCrunch
  • 12 years ago - by Anonymous

National Institute of General Medical Sciences Image Gallery

Database of scientific photos, illustrations, and videos made available by the National Institute of General Medical Sciences.

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  • SciCrunch
  • 17 years ago - by Anonymous

Mercer University College of Pharmacy and Health Sciences; Department of Pharmaceutical 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.

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  • SciCrunch
  • 16 years ago - by Anonymous

NGSANE

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.

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  • SciCrunch
  • 13 years ago - by Anonymous

Meharry Medical College Pharmacology

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.

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  • SciCrunch
  • 17 years ago - by Anonymous

SNAPE-pooled

Software that computes the probability distribution for the frequency of the minor allele in a certain population, at a certain position in the genome.

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  • SciCrunch
  • 12 years ago - by Anonymous

Snakemake

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.

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  • SciCrunch
  • 13 years ago - by Anonymous

Biological Biochemical Image Database

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.

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  • SciCrunch
  • 17 years ago - by Anonymous

Rat Strain Ontology

Ontology that defines hierarchical display of different rat strains as derived from parental strains. Ontology Browser allows to retrieve all genes, QTLs, strains and homologs annotated to particular term. Covers all types of biological pathways including altered and disease pathways, and to capture relationships between them within hierarchical structure. Five nodes of ontology include classic metabolic, regulatory, signaling, drug and disease pathways. Ontology allows for standardized annotation of rat. Serves as vehicle to connect between genes and ontology reports, between reports and interactive pathway diagrams, between pathways that directly connect to one another within diagram or between pathways that in some fashion are globally related in pathway suites and suite networks.

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  • SciCrunch
  • 13 years ago - by Anonymous

Nestly

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.

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  • SciCrunch
  • 13 years ago - by Anonymous

Bpipe

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.

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  • SciCrunch
  • 13 years ago - by Anonymous

RNA Ontology

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.

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  • SciCrunch
  • 13 years ago - by Anonymous

qPrimerDepot

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.

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  • SciCrunch
  • 17 years ago - by Anonymous

Mouse Genome Informatics Transgenes

Data set of collected and annotated expression and activity data for recombinase-containing transgenes and knock-in alleles. As the authoritative source of official names for mouse genes, alleles, and strains, MGI makes this list of transgenes available as a service and includes all known transgenes and synonyms. NIF provides a database interface so that researchers may have a better idea whether the trangene or transgenic animal that they are searching for is available. <BR/> Nomenclature follows the rules and guidelines established by the International Committee on Standardized Genetic Nomenclature for Mice.

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  • SciCrunch
  • 17 years ago - by Anonymous

Montana State University, Department of Cell Biology and Neuroscience

The academic programs and scientific research interests in our department cover a wide range of topics, with special emphasis on Cell Biology, Neurobiology, Developmental Biology, Physiology, Anatomy, Biophysics, and Neuroinformatics. Together, faculty and students in our department study biological processes that span the continuum from single cells to the entire human body. The Department of Cell Biology and Neuroscience offer both an Undergraduate and Graduate Program, which includes Ph.D. or M.S. degrees in Neuroscience or Biological Science. Two different undergraduate degree options are available within the Cell Biology and Neuroscience major: Biomedical Sciences and Cell Biology & Neuroscience. The Department of Cell Biology and Neuroscience offers exciting opportunities to work with nationally and internationally recognized faculty on a wide range of research topics, including cognitive neuroscience, neurophysiology, neuroinformatics, developmental biology, cell biology, biophysics and computational neuroscience.

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  • SciCrunch
  • 17 years ago - by Anonymous

University of Toledo Health Sciences Campus; Neurosciences

The Department of Neurosciences is highly committed to advancing the state of knowledge of nervous system structure and function through a tripartite mission of innovative research, state-of-the-art teaching methods, and dedicated service to the broader academic and surrounding communities. The teaching mission of our Department effectively communicates the current state of knowledge in neuroscience to the medical, graduate, and post-graduate students of the University using innovative methods. We are nationally known for using the most current technologies to teach human anatomy, embryology, and neurobiology to medical and graduate students. We teach critical thinking and problem solving skills and also provide opportunities for the students to excel in the laboratory and develop as life-long learners. Faculty participate in our Neurosciences and Neurological Disorders (NND) training track which awards both Ph.D. and M.S. degrees. We also train students towards the M.D./Ph.D and M.D./ M.S.B.S. joint degrees. Our research mission incorporates molecular, cellular, and systems neuroscience and cuts across the boundaries of traditional departments and disciplines. Our funded research in neurodevelopment, neurodegeneration, regeneration and repair, sensory function, and drug abuse comprise just a few of our interests. We employ cutting edge technologies and focus on the solution of fundamentally important problems pertinent to nervous system diseases and processes that can be translated feasibly to clinical issues. We work towards a synergistic interaction between the clinical and basic sciences that prompts unexpected discoveries of causes and novel treatments for the diseased nervous system. We also coordinate the Human Body Donation Program at the University of Toledo College of Medicine.

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  • SciCrunch
  • 16 years ago - by Anonymous

Software Distribution Sets

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 24, 2013. These distribution sets contain software modules and/or data sets extracted from the Visualization and Analysis Software Tools (VAST) library developed at the Minneapolis VA Medical Center, the University of Minnesota and/or the International Consortium for Neuroimaging (INC) (partially funded by the Human Brain Project )

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  • SciCrunch
  • 17 years ago - by Anonymous

Parseq

Statistical software for transcription landscape reconstruction at a basepair resolution from RNA Seq read counts. It is based on a state-space model which describes, in terms of abrupt shifts and more progressive drifts, the transcription level dynamics along the genome. Alongside variations of transcription level, it incorporates a component of short-range variation to pull apart local artifacts causing correlated dispersion. Reconstruction of the transcription level relies on a conditional sequential Monte Carlo approach that is combined with parameter estimation in a Markov chain Monte Carlo algorithm known as particle Gibbs. The method allows to estimate the local transcription level, to call transcribed regions, and to identify the transcript borders.

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  • SciCrunch
  • 13 years ago - by Anonymous