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http://smithlab.usc.edu/histone/rseg/

Software package aimed to analyze ChIP-Seq data, especially for identifying genomic regions and their boundaries marked by diffusive histone modification markers, such as H3K36me3 and H3K27me3.

Proper citation: RSEG (RRID:SCR_007695) Copy   

•   Source: SciCrunch Registry

http://www.cns.org/

A professional organization focused on advancing neurosurgery by providing members with the educational and career development opportunities. They have an annual meeting and offer CME opportunities. The Congress of Neurological Surgeons seeks to improve the quality of healthcare through: * The development of educational programs that convey knowledge, enhance self-directed learning and improve patient outcomes. * Advancing the science of medical education. * Promoting original inquiry and the exchange of clinical and scientific evidence. * Public advocacy for the enhancement of quality, safety and access to neurosurgical care. The Congress of Neurological Surgeons seeks to advance the profession of neurosurgery through: * Refining neurosurgical practice based on evidence. * Promoting volunteerism and leadership development within our specialty. * Development of programs to promote safety, quality and efficiency in practice for domestic and international members.

Proper citation: Congress of Neurological Surgeons (RRID:SCR_007993) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/huber-srv/hilbert/

Software tool that allows to display very long data vectors in a space-efficient manner, allowing the user to visually judge the large scale structure and distribution of features simultaneously with the rough shape and intensity of individual features.

Proper citation: HilbertVis (RRID:SCR_007862) Copy   

•   Source: SciCrunch Registry

https://www.univ-rennes1.fr/

The University of Rennes 1 is one of the two main universities in the city of Rennes, France. It is under the Academy of Rennes. It specializes in science, technology, law, economy, management and philosophy.

Proper citation: University of Rennes 1; Rennes; France (RRID:SCR_007649) Copy   

•   Source: SciCrunch Registry

http://brig.sourceforge.net/

A cross-platform (Windows/Mac/Unix) application that can display circular comparisons between a large number of genomes, with a focus on handling genome assembly data.

Proper citation: BRIG (RRID:SCR_007802) Copy   

•   Source: SciCrunch Registry

http://medgene.med.harvard.edu/MEDGENE/

An algorithm that generates lists of genes associated with a gene or one or more disorders. The algorithm can be used in high-throughput screening experiments, can create disease-specific micro-arrays, and can sort the results of gene profiling data. Based on the co-citations of all Medline records, MedGene can retrieve the following relationships: 1. A list of human genes associated with a particular human disease in ranking order 2. A list of human genes associated with multiple human diseases in ranking order 3. A list of human diseases associated with a particular human gene in ranking order 4. A list of human genes associated with a particular human gene in ranking order 5. The sorted gene list from other disease related high-throughput experiments, such as micro-array 6. The sorted gene list from other gene related high-throughput experiments, such as micro-array

Proper citation: MedGene (RRID:SCR_008122) Copy   

•   Source: SciCrunch Registry

http://www.usc.edu/

American private research university in Los Angeles, California. Founded in 1880, it is the oldest private research university in California. USC has historically educated a large number of the nation's business leaders and professionals.

Proper citation: University of Southern California; Los Angeles; USA (RRID:SCR_008093) Copy   

•   Source: SciCrunch Registry

http://biq-analyzer-ht.bioinf.mpi-inf.mpg.de/

Software that currently allows to process an amount of bisulfite sequencing reads obtained in one or several bisulfite sequencing experiments.

Proper citation: BiQAnalyzer HT (RRID:SCR_008045) Copy   

•   Source: SciCrunch Registry

http://erlichlab.wi.mit.edu/lobSTR/

A software tool for profiling Short Tandem Repeats (STRs) from high throughput sequencing data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: lobSTR (RRID:SCR_008030) Copy   

•   Source: SciCrunch Registry

http://www.sheffield.ac.uk/

Founded in 1905, the University of Sheffield is one of the UK''s leading Russell Group universities with an outstanding record in both teaching and research.

Proper citation: University of Sheffield; South Yorkshire; United Kingdom (RRID:SCR_008056) Copy   

•   Source: SciCrunch Registry

http://drive5.com/usearch/manual/uchime_algo.html

An algorithm for detecting chimeric sequences.

Proper citation: UCHIME (RRID:SCR_008057) Copy   

•   Source: SciCrunch Registry

http://www.reciprocalnet.org/

Database of crystallographic information. Its membership includes crystallographic service facilities (that analyze crystals submitted by research chemists) located at major universities. These labs analyze anywhere from a few dozen to several hundred molecular structures each year and post the data online for the public to access. A distributed database engine takes care of shuttling this data across the Internet so that every structure can be located by the search engine. There may be a delay of a year or more between the time a structure is first analyzed and the time it finally becomes available for the public to see. This is due to intellectual property issues - the intervening time allows the chemists who first discovered the structure to publish it in a trade journal.

Proper citation: Reciprocal Net (RRID:SCR_008238) Copy   

•   Source: SciCrunch Registry

http://www.sp2000.org/

Species 2000 is a federation of database organizations working closely with users, taxonomists and sponsoring agencies. The goal of the Species 2000 project is to create a validated checklist of all the world''s species (plants, animals, fungi and microbes). This is being achieved by bringing together an array of global species databases covering each of the major groups of organisms. Each database covers all known species in the group, using a consistent taxonomic system. The participating databases are widely distributed throughout the world and currently number 52. The existing global species databases presently account for some 60% of the total known species, so substantial investment in new databases will be needed for full coverage of all taxa to be achieved.

Proper citation: Species 2000 (RRID:SCR_008231) 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