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http://www.niehs.nih.gov/research/supported/srp/funding/index.cfm

http://www.niehs.nih.gov/research/supported/srp/funding/index.cfm

Proper citation: Superfund basic research program (RRID:SCR_012313) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/ec2kegg/

A perl-based package to perform comparative analysis of metabolic pathways between two organisms.

Proper citation: EC2KEGG (RRID:SCR_012127) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/cnvcapseq/

Software for accurate and sensitive CNV discovery and genotyping in long-range targeted resequencing.

Proper citation: cnvCapSeq (RRID:SCR_012126) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/plek/

An alignment-free software tool which uses a computational pipeline based on an improved k-mer scheme and a support vector machine (SVM) algorithm to distinguish lncRNAs from messenger RNAs (mRNAs), in the absence of genomic sequences or annotations. It is especially suitable for PacBio or 454 sequencing data and large-scale transcriptome data.

Proper citation: PLEK (RRID:SCR_012132) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/reditools/

A suite of python scripts to perform high-throughput investigation of RNA editing using next-generation sequencing data.

Proper citation: REDItools (RRID:SCR_012133) Copy   

•   Source: SciCrunch Registry

http://pprospector.sourceforge.net/

A pipeline of software programs to design and analyze PCR primers. It is built in Python using the open-source PyCogent toolkit.

Proper citation: PrimerProspector (RRID:SCR_012136) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/icelogo/

Software that builds on probability theory to visualize significant conserved sequence patterns in multiple peptide sequence alignments against background (reference) sequence sets that can be tailored to the studied system and the used protocol.

Proper citation: iceLogo (RRID:SCR_012137) Copy   

•   Source: SciCrunch Registry

http://musite.sourceforge.net/

A Java-based standalone application for predicting both general and kinase-specific protein phosphorylation sites.

Proper citation: Musite (RRID:SCR_012141) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/pronovus-bioscience-llc

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 25,2024.

Proper citation: ProNovus Bioscience LLC (RRID:SCR_012266) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/hlaforest/

Software that predicts HLA haplotype by hierarchically weighting reads and using an iterative, greedy, top down pruning technique. HLAforest uses BioPerl to read in FASTA files. Alignments use Bow tie, although any alignment tool can be used to generate SAM alignments for use as input to HLAforest.

Proper citation: HLAforest (RRID:SCR_012146) Copy   

•   Source: SciCrunch Registry

https://www.promab.com/about-us

Develops and commercializes recombinant proteins and custom monoclonal antibodies through integration of bioinformatics, gene cloning, protein expression and purification, and immunology, using high-throughput technologies. ProMab applies its proteins and antibodies to deliver diagnostic products as well as services targeting the global biomedical market through collaborations with other biotechnology and bio-reagent companies.

Proper citation: ProMab Biotechnologies Inc. (RRID:SCR_012380) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/RJaCGH/index.html

Software for Bayesian analysis of CGH microarrays fitting Hidden Markov Chain models.

Proper citation: RJaCGH (RRID:SCR_008381) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.kmutt.ac.th/list-of-courses-2/

This program is an international Bioinformatics course at KMUTT designed for students who desire focused training in the elements of computer science, biology and biochemistry needed for a successful career in this exciting new discipline. Students in this program will receive comprehensive training in genomics, algorithms for sequence analysis, database design and management, software engineering and programming (including web-based development). Each student will apply their skills to a practical project, where they will design and implement a solution to a real-world problem under the guidance of an experienced mentor in industry or academia. In order to receive a Masters degree, students must demonstrate mastery of the core subject matter (expected to maintain a minimum grade of B in all core courses) and reach a minimum TOEFL test score of 500 (paper) or 173 (computer) or equivalent prior to or on completion of the course. In 24 monhs students gain the knowledge and skills necessary to enter a career with industry or a career in research as a bioinformatics or biocomputing specialist. The program offers fifteen scholarships each year include tuition and fees plus an additional to cover living expenses for 24 months. :Keywords: Bioinformatics, Computer Science, Biology, Biochemistry, Genomics, Algorithms, Sequence, Analysis, Database, Design, Management, Software, Engineering, Programing, Industry, Academia, Master''s, :

Proper citation: Bioinformatic: Programs and Courses (RRID:SCR_008379) Copy   

•   Source: SciCrunch Registry

http://www.uow.edu.au/

Public research university in New South Wales, Australia which offers degree programs across a wide spectrum of disciplines, as well as providing research facilities to scientists

Proper citation: University of Wollongong; New South Wales; Australia (RRID:SCR_008322) Copy   

•   Source: SciCrunch Registry

http://www.strout.net/conical/

CONICAL is a C++ class library for building simulations common in computational neuroscience. Currently its focus is on compartmental modeling, with capabilities similar to GENESIS and NEURON. Future classes may support reaction-diffusion kinetics and more. A key feature of CONICAL is its cross-platform compatibility; it has been fully co-developed and tested under Unix, DOS, and Mac OS. Any C++ compiler which adheres to the emerging ANSI standard should be able to compile the CONICAL classes without modification. It is intended to encourage the rapid development of simulator software, especially on non-Unix systems where such software is sorely lacking. The present focus of the CONICAL library of C++ classes is compartmental modeling. A model neuron is built out of compartments, usually with a cylindrical shape. When small enough, these open-ended cylinders can approximate nearly any geometry, just as the stack of cylinders approximates a cone in the logo above. While any compartment has passive electrical properties (like a simple resistor-capacitor circuit), more interesting properties require the use of active ion channels whose conductance varies as a function of the time or membrane voltage. A standard Hodgkin-Huxley ion channel is included as one of the built-in CONICAL object types. Most of the voltage-gated ion channels in the literature can be directly implemented merely by setting the parameters of this class. For extensibility, this class is derived from several layers of more general classes. Connections between neurons can be implemented in several ways. For a gap junction (i.e., simple electrical connection), a passive current (or pair of currents, one in each direction) can be used. Synapses are more complex objects, but used in a similar fashion. The Alpha-function synapse is a very popular model of synaptic transmission, and is a basic CONICAL class. More complex (and realistic) synapses can be built using the Markov-model synapse. (A Markov model can be used on its own for other purposes as well.) In addition to classes directly related to neural modeling, CONICAL contains several other useful object types. These include a current injector, and a column-oriented output stream for storing data in table form.

Proper citation: Conical: The Computational Neuroscience Class Library (RRID:SCR_008318) Copy   

•   Source: SciCrunch Registry

http://abgent.com

Antibody supplier.

Proper citation: Abgent (RRID:SCR_008393) Copy   

•   Source: SciCrunch Registry

http://www.ini.uzh.ch/

The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The Institute of Neuroinformatics is built of many people covering a wide range of disciplines and research areas. The major research projects and areas are listed below. - Behavior and Cognition: At the Institute of Neuroinformatics researchers investigate in Behavior and Cognition on various levels, ranging from neuronal circuit models of learning and adaptation over psychophysical experiments for color constancy up to modeling complex behavioral tasks such as exploration and goal-directed navigation. - Computation in Neural Circuits: By examining the brains of cats, rats and monkeys, and by making simulations of the cortex, INI hopes to learn how this circuit performs such widely different tasks. This knowledge might lead to advances in how computers are designed, and will certainly lead to advances in the subtlety and power of medical neuroscience. - Neurotechnologies: INI aims to harness the principles of biological computation, which can be expected to have a major impact on the technology market as autonomous intelligence pervades equipment, vehicles, buildings, utilities and clothing. Sponsors: INI is supported by European Union (EU), Gerbert Ruf Stiftung, Neuroscience Center (ZNZ), Swiss Confederation (KTI), Swiss Federal Institute of Technology Zurich (ETH), Swiss National Science Foundation (SNF), University of Zurich (UZH), and VW Stiftung

Proper citation: Institute of Neuroinformatics (RRID:SCR_008331) Copy   

•   Source: SciCrunch Registry

http://www.embl-heidelberg.de/Services/serrano/agadir/agadir-start.html

A prediction algorithm based on the helix/coil transition theory. Agadir predicts the helical behaviour of monomeric peptides. It only considers short range interactions. Conditions such as pH, temperature and ionic strength are used in the calculation. Modifications of the termini are also allowed. To submit a job to Agadir, log in the calculation part using the login button in the right bottom. Then fill-in the input form and proceed to next page, etc. You will reach a final page that resumes all the input information and allows you to run the calculation. You can submit one or more peptide sequences in one-letter format. Sequences should be separated by one return character. Spaces and tabulations are automatically removed. Only standard amino acids are accepted. Agadir accepts two modifications at the N-terminus (acetylation or succynilation), and one at the C-terminus (amidation). Just choose the desired option in the input form. You can use only one set of parameters: temperature, ionic strength (calibrated for NaCl) and pH, or explore a particular range of conditions for one parameter. In the latter case the intervals between any two values are: Ionic strength 0.05 M Temperature 1 K pH 0.2 units When setting the conditions for these parameters please be aware that the allowed ranges are: Ionic strength between 0.001 and 1 M Temperature between 273 and 400 K pH between 1 and 14 Output of the prediction at the residue level is available only when submitting no more than ten peptide sequences, and without any screening of conditions. Hstaple is the Hydrophobic Staple motif, Schellman is the Shellman motif, CaH are the expecte chemical shifts of the Calpha proton, 13Ca are the alpha Carbon 13 chemical shifts, JaN is the Jalpha--nitrogen coupling.

Proper citation: Agadir (RRID:SCR_008402) Copy   

•   Source: SciCrunch Registry

http://www.epidata.dk

Sustainability plan EpiData Software has since 2000 grown from securing the principles of Epi Info V6 to an independent and documentation based system with several translations and numerous downloads. To secure continued viability organisations and governments work is being done to secure for the future, see also the license principles - the ambition is to convert the programs to open-source within few years. Contributions are used for costs of development after version 1.5 (e.g. refining of programming, enhancing speed, maintenance of website, to pay for absence from paid work to do EpiData or other developmental and promotional efforts for EpiData). About the EpiData Association EpiData Software is from EpiData Entry version 2.0 and above released by the non-profit organisation The EpiData Association Odense, Denmark (In Danish: EpiData foreningen). The association receives NO baseline budget from anyone. The association has no employees Postal adress is: The EpiData Association, att. Jens Lauritsen, Enghavevej 34, DK5230 Odense M, Denmark, Europe The body of users of EpiData form the most important part of the basis of the EpiData Association. Those who choose to register as users will be asked when desicions are to made regarding additions to the program. Needs for documentation etc. Registration is done by adding your e-mail to the Information list. Supporting members or institutions adds to the foundation and development of EpiData by securing funding to pay for the associated costs. List of donors. The board of the association is made up of the core persons developing EpiData, currently Jens M.Lauritsen and Michael Bruus in collaboration with experienced users and the Friends Of EpiData group (FoED), comprising a group of international persons wishing to support the development of EpiData Sponsor. Without support from a number of NGO''s, Universities, Regional Health Authorities and other funding bodies EpiData development would have stopped

Proper citation: EpiData Software (RRID:SCR_008485) Copy   

•   Source: SciCrunch Registry

http://www.theseed.org/DinsdaleSupplementalMaterial/

his table shows the metadata and links to sources of the data and citations associated with the publicly available metagenome sequences used in the Dinsdale, Edwards, et al., analysis of 87 different metagenomes. The links will take you to the annotated sequences in the metagenomics SEED, CAMERA, and the NCBI Short Read Archve. Please note that all metagenomes are currently available to download via the ftp links, some are available in the meta-RAST, and other links will be added as soon as they become available. Citations for individual metagenomes will also be added as and when they become available. DNA sequences for all metagenomes are avaialble via anonymous FTP. Sponsor. This project was supported by the Gordon and Betty Moore Foundation Marine Microbial Initiative, National Science Foundation grants (F.R. and D.L.V.), a Department of Commerce ATP grant (F.R.), a National Research Initiative Competitive Grant from the USDA Cooperative State Research, Education and Extension Service (B.W.), the National Institute of Allergy and Infectious Diseases, the National Institutes of Health and the Department of Health and Human Services (R.S.).

Proper citation: Metagenomes Used in The Statistical Analysis (RRID:SCR_008483) Copy   

•   Source: SciCrunch Registry