Tools   Select Another Resource Report Type

http://mobyle.pasteur.fr/

A portal for bioinformatics analyses, including the following: alignment assembly database display genetics hmm information nucleic phylogeny protein sequence structure

Proper citation: Mobyle@Pasteur (RRID:SCR_013089) Copy   

•   Source: SciCrunch Registry

http://bioinfo.au.tsinghua.edu.cn/seqsite/

Software for detecting transcription factor binding sites from ChIP-seq data.

Proper citation: SeqSite (RRID:SCR_013243) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.9/bioc/html/Repitools.html

Software tools for the analysis of enrichment-based epigenomic data.

Proper citation: Repitools (RRID:SCR_013242) Copy   

•   Source: SciCrunch Registry

http://www.dkfz.de/en/epidemiologie-krebserkrankungen/software/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software program that performs estimation of power and sample sizes required to detect genetic and environmental main, as well as gene-environment interaction (GxE) effects in indirect matched case-control studies (1:1 matching). When the hypothesis of GxE is tested, power/sample size will be estimated for the detection of GxE, as well as for the detection of genetic and environmental marginal effects. Furthermore, power estimation is implemented for the joint test of genetic marginal and GxE effects (Kraft P et al., 2007). Power and sample size estimations are based on Gauderman''s (2002) asymptotic approach for power and sample size estimations in direct studies of GxE. Hardy-Weinberg equilibrium and independence of genotypes and environmental exposures in the population are assumed. The estimates are based on genotypic codes (G=1 (G=0) for individuals who carry a (non-) risk genotype), which depend on the mode of inheritance (dominant, recessive, or multiplicative). A conditional logistic regression approach is used, which employs a likelihood-ratio test with respect to a biallelic candidate SNP, a binary environmental factor (E=1 (E=0) in (un)exposed individuals), and the interaction between these components. (entry from Genetic Analysis Software)

Proper citation: PIAGE (RRID:SCR_013124) Copy   

•   Source: SciCrunch Registry

http://www.bork.embl.de/software/smash/

A stand-alone metagenomic annotation and analysis pipeline suitable for data from Sanger and 454 sequencing technologies.

Proper citation: SmashCommunity (RRID:SCR_013245) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/books/NBK25500/

Entrez Programming Utilities are tools that provide access to Entrez data outside of the regular web query interface and may be helpful for retrieving search results for future use in another environment.
Additional information is available in the NCBI Bookshelf Short Courses Building Customized Data Pipelines Using the Entrez Programming Utilities (eUtils) and the NCBI PowerScripting course.
User Requirements: Please read for important information on scripting NCBI servers.
EInfo: Provides field index term counts, last update, and available links for each database.
ESearch: Searches and retrieves primary IDs (for use in EFetch, ELink, and ESummary) and term translations and optionally retains results for future use in the user''s environment.
EPost: Posts a file containing a list of primary IDs for future use in the user''s environment to use with subsequent search strategies.
ESummary: Retrieves document summaries from a list of primary IDs or from the user''s environment.
EFetch: Retrieves records in the requested format from a list of one or more primary IDs or from the user''s environment.
ELink: Checks for the existence of an external or Related Articles link from a list of one or more primary IDs. Retrieves primary IDs and relevancy scores for links to Entrez databases or Related Articles; creates a hyperlink to the primary LinkOut provider for a specific ID and database, or lists LinkOut URLs and Attributes for multiple IDs.
EGQuery: Provides Entrez database counts in XML for a single search using Global Query.
ESpell: Retrieves spelling suggestions.
SOAP Interface for Entrez Utilities
PMID to PMC ID Converter
Entrez DTDs
Demonstration Program
Announcement Mailing List
Leasing Data from the National Library of Medicine
Help Desk
User Requirements
Do not overload NCBI''s systems. Users intending to send numerous queries and/or retrieve large numbers of records from Entrez should comply with the following:
Run retrieval scripts on weekends or between 9 pm and 5 am Eastern Time weekdays for any series of more than 100 requests.
Send E-utilities requests to http://eutils.ncbi.nlm.nih.gov, not the standard NCBI Web address.
Make no more than 3 requests every 1 second.
Use the URL parameter email, and tool for distributed software, so that we can track your project and contact you if there is a problem.
NCBI''s Disclaimer and Copyright notice must be evident to users of your service. NLM does not claim the copyright on the abstracts in PubMed; however, journal publishers or authors may. NLM provides no legal advice concerning distribution of copyrighted materials, consult your legal counsel.

Proper citation: Entrez Utilities (RRID:SCR_013249) Copy   

•   Source: SciCrunch Registry

http://www.softpedia.com/get/Science-CAD/BrainVisa-Morphology-extensions.shtml

An extension projects providing computational tools for performing regional morphological measurements to assess groupwise differences and track morphological changes during maturation and aging. The extensions include computation of regional GM thickness, 3D gyrification index, sulcal lenght and depth and sulcal span. These tools are distributed in the form of plugins for a popular analysis package BrainVisa

Proper citation: BrainVisa Morphology extensions (RRID:SCR_013248) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.ust.hk/BOOST.html

Software application (entry from Genetic Analysis Software) for a method for detecting gene-gene interactions. It allows examining all pairwise interactions in genome-wide case-control studies.

Proper citation: BOOST (RRID:SCR_013133) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/thornton-srv/databases/CSA/

The Catalytic Site Atlas (CSA) is a database documenting enzyme active sites and catalytic residues in enzymes of 3D structure. We defined a classification of catalytic residues which includes only those residues thought to be directly involved in some aspect of the reaction catalyzed by an enzyme. The CSA contains 2 types of entry: 1. Original hand-annotated entries, derived from the primary literature. References for these entries are given. 2. Homologous entries, found by PSI-BLAST alignment (using an e value cut-off of 0.00005) to one of the original entries. The equivalent residues, which align in sequence to the catalytic residues found in the original entry are documented. Access to the CSA is via PDB code, SWISS-PROT entry or E.C. number. Accessing via PDB code takes you straight to the CSA entry for that PDB, while accessing via SWISS-PROT or E.C. number gives a list of all PDB codes for structures assigned that particular SWISS-PROT identifier or E.C. number. Structures with entries in the CSA are given as hyperlinks. Each CSA entry lists the catalytic residues found in that entry, using PDB residue numbering. Each site is also marked with an evidence tag, which is either Literature reference or PSI-BLAST hit. If the entry is a PSI-BLAST hit you can follow the link to the original entry. You may download the CSA. JESS, an algorithm for constraint-based structural template matching and its application to 3D templates used by the CSA, is available for download.

Proper citation: CSA - Catalytic Site Atlas (RRID:SCR_013099) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/mirseq/files/

An R/Bioconductor based workflow for novel miRNA prediction from deep sequencing data.

Proper citation: miRSeqNovel (RRID:SCR_013257) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/ligmap/files/

A tool for structural biology and drug design.

Proper citation: AutoMap (RRID:SCR_013095) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/dynamicprog/

A model-based statistical methods for base calling in Illumina''s next-generation sequencing platforms.

Proper citation: DynamicProg (RRID:SCR_013217) Copy   

•   Source: SciCrunch Registry

http://www.psy.ritsumei.ac.jp/~akitaoka/cataloge.html

Set of different illusions, including color illusions, motion illusions, and optic illusions. Most illusions are from Professor Akiyoshi Kitaoka of the Ritsumeikan University in Kyoto, Japan.

Proper citation: A Catalogue of Illusions (RRID:SCR_013186) Copy   

•   Source: SciCrunch Registry

http://www-rcf.usc.edu/~fsun/Programs/multiAlignFree/multiAlignFreemain.html

R package intended to implement a program for multiple alignment-free sequence comparison based on long genome sequence or NGS data.

Proper citation: muliAlignFree (RRID:SCR_013188) Copy   

•   Source: SciCrunch Registry

http://www.ritsumei.ac.jp/~akitaoka/index-e.html

This portal describes Professor Kitaoka Akiyoshi''s research in the science of visual illusions. Working as an associate professor at the Ritsumeiken University, Department of Psychology, he is one of the few researchers in Japan to be actively researching in this field of study. Professor Kitaoka defines an illusion as a misperception of a real object, adding that defining what is real is a difficult task that depends on recognition and epistemology. An illusion is formed when the perceived characteristics of the object differ from the physical characteristics. Professor Kitaoka first started studying visual illusions when working at the Tokyo Metropolitan Institute for Neuroscience, before coming to RU. He currently researches geometrical, color, lightness, and motion illusions and visual completion, and has become a prominent expert in the field, publishing a wide range of articles on the subject as well as the popular books Trick Eyes, Trick Eyes 2, Trick Eyes Graphics, and the Handbook of the Science of Illusion. To create his illusions, Professor Kitaoka uses graphic design software such as CorelDRAW, Adobe Illustrator, and the drawing software included in Microsoft Word in addition to making use of programming languages like Borland Delphi (Pascal). All of the images set out to test hypotheses that serve to advance his study of illusions and their applications for other visual functions. The goal of his research is to test visual mechanisms through visual illusions.

Proper citation: Akiyoshis illusion pages (RRID:SCR_013187) Copy   

•   Source: SciCrunch Registry

http://www.usphs.gov/

Commissioned Corps of the United States Public Health Service, is the federal uniformed service of the U.S. Public Health Service, and is one of the eight uniformed services of the United States.

Proper citation: U.S. Public Health Service Commissioned Corps (RRID:SCR_013104) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/meanmachine/

This software can be used to analyze EEG data either using a graphical interface (GUI) or using Matlab scripts, which make use of the functions provided by the MeanMachine. As compared to other libraries, MeanMachine can handle even very large data sets like, for example, 256 channels recorded at 2KHz.

Proper citation: Mean Machine (RRID:SCR_013103) Copy   

•   Source: SciCrunch Registry

http://www.cdc.gov/niosh/oep/funding.html

http://www.cdc.gov/niosh/oep/funding.html

Proper citation: National Institute for Occupational Safety and Health (RRID:SCR_013180) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages//2.10/bioc/html/CancerMutationAnalysis.html

Software package that implements gene and gene-set level analysis methods for somatic mutation studies of cancer.

Proper citation: CancerMutationAnalysis (RRID:SCR_013181) Copy   

•   Source: SciCrunch Registry

http://www.cjd.ed.ac.uk/

The incidence of Creutzfeldt-Jakob disease (CJD) is monitored in the UK by the National CJD Surveillance Unit (NCJDSU) based at the Western General Hospital in Edinburgh, Scotland. The Unit brings together a team of clinical neurologists, neuropathologists and scientists specialising in the investigation of this disease. This document is intended to summarise the research in progress at the NCJDSU and also provide some background information about CJD and other human spongiform encephalopathies. We have also provided some links to other resources and contrary points of view available on the Web.

Proper citation: NCJDSU (RRID:SCR_013183) Copy   

•   Source: SciCrunch Registry