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http://wiki.c2b2.columbia.edu/honiglab_public/index.php/Software:DelPhi

DelPhi provides numerical solutions to the Poisson-Boltzmann equation (both linear and nonlinear form) for molecules of arbitrary shape and charge distribution. The current version is fast, accurate, and can handle extremely high lattice dimensions. It also includes flexible features for assigning different dielectric constants to different regions of space and treating systems containing mixed salt solutions. DelPhi takes as input a coordinate file format of a molecule or equivalent data for geometrical objects and/or charge distributions and calculates the electrostatic potential in and around the system, using a finite difference solution to the Poisson-Boltzmann equation. DelPhi is a versatile electrostatics simulation program that can be used to investigate electrostatic fields in a variety of molecular systems. Features of DelPhi include solutions to mixtures of salts of different valence; solutions to different dielectric constants to different regions of space; and estimation of the best relaxation parameter at run time.

Proper citation: DelPhi (RRID:SCR_008669) Copy   

•   Source: SciCrunch Registry

http://www.sciencebuddies.org

Many science fairs have a group of people called a Scientific Review Committee (or SRC) that reviews each project application to ensure that all safety and legal requirements will be met and that the appropriate forms have been completed. The committee also reviews the completed project displays. Typically, a Scientific Review Committee is composed of at least three people: a biomedical scientist, a physical scientist, and a science teacher. Some fairs also have an Institutional Review Board (IRB), which reviews all proposed projects that in any way involve human beings. An IRB''s purpose is to ensure that the project will not present undue risk to the subjects.

Proper citation: Scientific Review Committee (RRID:SCR_008652) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/nitrc

NITRC-wide community facilities: Forums, Wiki, Tracker, and News.

Proper citation: NITRC Community (RRID:SCR_009631) Copy   

•   Source: SciCrunch Registry

http://genome.sph.umich.edu/wiki/Generic_Exome_Analysis_Plan

Outline of a generic plan for analysis of a whole exome sequencing project.

Proper citation: Generic Exome Analysis Plan (RRID:SCR_009656) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/incf_nidstf/

Program to develop generic standards and tools to facilitate the recording, sharing, and reporting of neuroimaging metadata. It is expected that these efforts will greatly improve upon current practices for archiving and sharing neuroscience data. Neuroscience data, particularly those in neuroinformatics related areas such as neuroimaging and electrophysiology, are associated with a rich set of descriptive information often called metadata. For data archive, storage, sharing and re-use, metadata are of equal importance to primary data, as they define the methods and conditions of data acquisition (such as device characteristics, study/experiment protocol and parameters, behavioral paradigms, and subject/patient information), and statistical procedures. A further challenge for datasharing is the rapidly evolving nature of investigative methods and scientific applications.

Proper citation: INCF Neuroimaging Data Sharing (RRID:SCR_009497) Copy   

•   Source: SciCrunch Registry

http://psidev.sourceforge.net/mi/xml/doc/user/index.html

The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. As a first step, the PSI is developing standards for two key areas of proteomics: mass spectrometry and protein-protein interaction data. The document describes the molecular interaction data exchange format. PSI is following a leveled approach to building this specification. Level 1 will describe protein interactions at a basic level that covers a large amount of currently available data. Subsequent levels will add capability to represent new molecular interaction information that the community wishes to exchange. The scope of PSI MI is currently limited to protein-protein interactions. Other molecules, such as small molecules, DNA and RNA maybe taken into account in the future. The PSI MI format is a data exchange format for protein-protein interactions. It is not a proposed database structure. The purpose of the document is to describe the general structure of the PSI MI XML specification in a more user-friendly manner than the specification does itself. PSI MI was designed by a group of people including representatives from database providers and users in both academia and industry. PSI MI is supported by the DIP, MINT, IntAct, BIND and HPRD databases.

Proper citation: PSI-MI (RRID:SCR_010710) Copy   

•   Source: SciCrunch Registry

http://scienceexchange.com/

Access service resource which connects labs needing and offering experimental services. Users can search for academic and government labs and experimental services, request and compare service quotes, and directly communicate with labs to arrange orders.

Proper citation: ScienceExchange (RRID:SCR_010620) Copy   

•   Source: SciCrunch Registry

http://purl.org/

Web addresses that act as permanent identifiers in the face of a dynamic and changing Web infrastructure. Instead of resolving directly to Web resources, PURLs provide a level of indirection that allows the underlying Web addresses of resources to change over time without negatively affecting systems that depend on them. This capability provides continuity of references to network resources that may migrate from machine to machine for business, social or technical reasons.

Proper citation: Purl (RRID:SCR_010238) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/microbe-inotech-laboratories-inc

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 22,2024. Microbe Inotech Laboratories, Inc. (The MiL, Inc.) is your direct source for answers to all of your microbiological inquiries. We are a full-service laboratory that can provide microbial and biochemical analyses for your specific industry. Whether you are concerned about food safety or you need microbiological testing for your field, Microbe Inotech Laboratories has the expertise and advanced technologies to provide solid answers. We have more than 18 years of experience in helping our customers find practical solutions to their microbiological needs. We offer our broad range of services to manufacturers, retailers, processors, and many other industries. Our laboratory divisions are environmental, food safety, industrial, pharmaceutical and governmental.

Proper citation: Microbe Inotech Laboratories Inc. (RRID:SCR_012215) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/parabase-genomics

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 2, 2024. Parabase Genomics is a molecular diagnostic company offering whole exome sequencing services to physicians and researchers with a specialty in the identification of rare variants associated with Mendelian Disorders. Our sample processing and variant analysis pipelines are highly optimized for calling rare variants that are normally missed by less optimized workflows. At Parabase Genomics, we have combined a team of innovators and experts in genomics, pediatrics and targeted sequencing that are not available at other service organizations. Our team is also unique in that we can deliver both research and well as CLIA/CAP certified exomes with insurance reimbursement.

Proper citation: Parabase Genomics (RRID:SCR_012336) Copy   

•   Source: SciCrunch Registry

https://www.genome-cloud.com/user/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 29, 2019. A cloud platform for next-generation sequencing analysis and storage. Services include: * g-Analysis: Automated genome analysis pipelines at your fingertips * g-Cluster: Easy-of-use and cost-effective genome research infrastructure * g-Storage: A simple way to store, share and protect data * g-Insight: Accurate analysis and interpretation of biological meaning of genome data

Proper citation: GenomeCloud (RRID:SCR_011886) Copy   

•   Source: SciCrunch Registry

https://ocimumbio.com/

Comprehensive Integrated Life Science Informatics solutions provider with service offerings that span Sample and Data Management (LIMS, Biologics Data Management), Genomics Data Analysis Services such as Gene Expression, Genotyping, and Next Gen Sequencing, Bioinformatics and Genomics Databases (BioExpress, ToxExpress) and Bio-IT consulting services.

Proper citation: Ocimum Biosolutions (RRID:SCR_012307) Copy   

•   Source: SciCrunch Registry

http://www.ngsleaders.org/

A community created to advance the use and value of next-generation sequencing through knowledge sharing.

Proper citation: NGS Leaders (RRID:SCR_011982) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/microbiology-quality-associates-inc

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 22, 2024. Microbiology & Quality Associates, Inc., located in the San Francisco Bay Area, is a service organization providing a variety of services to life sciences companies. Our services include: contract biotech development services, testing services, consulting, validation services, calibration services, training, and scientific resources. MQA is FDA registered. Our Quality System comply with GXP regulations and ISO 17025/9001. We provide services to a wide variety of companies in biotechnology, pharmaceutical, medical devices, nutritional products, dialysis centers, semiconductors, and other industries. MQA staff has many years of hands-on experience at pharmaceutical, biotechnology and medical device companies.

Proper citation: Microbiology and Quality Associates (RRID:SCR_012270) Copy   

•   Source: SciCrunch Registry

http://stackoverflow.com/

A question and answer site for professional and enthusiast programmers.

Proper citation: Stack Overflow (RRID:SCR_011984) Copy   

•   Source: SciCrunch Registry

http://nmf.jax.org/protocols.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. The Neuroscience Mutagenesis Facility of the Jackson Laboratory (NMF) was established to produce new neurological mouse models that could serve as experimental models for the exploration of basic neurobiological mechanisms and diseases. The protocols are available. The impetus for the program resulted from the recognition that * the value of genomic data would remain limited unless more information about the functionality of its individual components became available, and * the task of linking genes to specific behavior would best be accomplished by employing a combination of different approaches. In an effort to complement already existing programs, the Neuroscience Mutagenesis Facility decided to use: a random, genome-wide approach to mutagenesis, i.e. N-ethyl-N-nitrosourea (ENU) as the mutagen; a three-generation back-cross breeding scheme to focus on the detection of recessive mutations; behavioral screens selective for the detection of phenotypes deemed useful for the program goals. Protocols: * Genetics ** Production of Mice for a Genome-Wide ENU Mutagenesis Screen ** Production of Mice using Chemical Mutagenesis of Mouse ES Cells * Protocols ** Step by step procedures-- Mouse mutagenesis with ENU ** Step by step procedures-- ES Cell mutagenesis with EMS * Phenotyping: Overview * Protocols:(currently only screens marked * are in use) ** Acoustic startle response (ASR) ** Auditory brainstem response (ABR) ** CLAMSTM(former CCMS) ** Creatine kinase ** Developmental Screen * ** Eye and Vision * ** Gait Analysis ** Gustation ** Observation * ** Seizure threshold * ** Additional Background Information

Proper citation: JAX Neuroscience Mutagenesis Facility Protocols (RRID:SCR_003021) Copy   

•   Source: SciCrunch Registry

http://bodb.usc.edu/bodb/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023. BODB offers a way to document computational models of brain function by linking each model to Brain Operating Principles (BOPs), related brain regions, Summaries of Simulation Results (SSRs)and Summaries of Experimental Data (SEDs) used either to design or to test the model. Tools are provided to search for related models and to compare their coverage of SEDs. This allows automatic benchmarking of a model against a cluster of models addressing similar BOPs or SEDs or brain regions. Tools allow display of brain imaging results against a human brain applet; a new tool will link data to a macaque brain applet.

Proper citation: Brain Operation Database (RRID:SCR_003050) Copy   

•   Source: SciCrunch Registry

http://www.neurogems.org/neosim/

Simulation software that includes a parallel discrete event simulation kernel for running models of spiking neurons on a cluster of workstations. Models are specified using NeuroML, and visualized using Java2D. Simulation components are distributed across a parallel machine or network and communicate using timestamped events. The successor NEOSIM2 project under the NeuroGems umbrella at Edinburgh University (http://www.neurogems.org) continues to distribute the software, http://www.neurogems.org/neosim2/ The NEOSIM project includes: * a parallel discrete event simulation kernel for running models of spiking neural networks on clusters of machines. * a modules kit for extending the behavior of neurons and connectivity patterns. * a user interface for building and running simulations. OS: Linux, MS-Windows

Proper citation: Neural Open Simulation (RRID:SCR_002916) Copy   

•   Source: SciCrunch Registry

http://briansimulator.org/

Software Python package for simulating spiking neural networks. Useful for neuroscientific modelling at systems level, and for teaching computational neuroscience. Intuitive and efficient neural simulator.

Proper citation: Brian Simulator (RRID:SCR_002998) Copy   

•   Source: SciCrunch Registry

http://studyforrest.org

An MRI data repository that holds a set of 7 Tesla images and behavioral metadata. Multi-faceted brain image archive with behavioral measurements. For each participant a number of different scans and auxiliary recordings have been obtained. In addition, several types of minimally preprocessed data are also provided. The full description of the data release is available in a dedicated publication. This project invites anyone to participate in a decentralized effort to explore the opportunities of open science in neuroimaging by documenting how much (scientific) value can be generated out of a single data release by publication of scientific findings derived from a dataset, algorithms and methods evaluated on this dataset, and/or extensions of this dataset by acquisition and integration of new data.

Proper citation: studyforrest.org (RRID:SCR_003112) Copy   

•   Source: SciCrunch Registry