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http://www.ncbi.nlm.nih.gov/tools/cobalt/cobalt.cgi?link_loc=BlastHomeAd

COBALT is a multiple sequence alignment tool that finds a collection of pairwise constraints derived from conserved domain database, protein motif database, and sequence similarity, using RPS-BLAST, BLASTP, and PHI-BLAST. Pairwise constraints are then incorporated into a progressive multiple alignment. A Linux executable for COBALT, and CDD and PROSITE data used is available at ftp://ftp.ncbi.nlm.nih.gov/pub/agarwala/cobalt/ COBALT has reasonable runtime performance and alignment accuracy comparable to or exceeding that of other tools for a broad range of problems.

Proper citation: COBALT: Constraint-based Multiple Alignment Tool (RRID:SCR_004152) Copy   

•   Source: SciCrunch Registry

http://www.nihtoolbox.org/WhatAndWhy/Cognition/Attention/Pages/NIH-Toolbox-Flanker-Inhibitory-Control-and-Attention-Test.aspx

Assessment test that measures both a participant''s attention and inhibitory control. The test requires the participant to focus on a given stimulus while inhibiting attention to stimuli (fish for ages 3-7 or arrows for ages 8-85) flanking it. Sometimes the middle stimulus is pointing in the same direction as the flankers (congruent) and sometimes in the opposite direction (incongruent). Scoring is based on a combination of accuracy and reaction time, and the test takes approximately 3 minutes to administer. This test is recommended for ages 3-85.

Proper citation: NIH Toolbox Flanker Inhibitory Control and Attention Test (RRID:SCR_003617) Copy   

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http://www.nihtoolbox.org/WhatAndWhy/Cognition/ExecutiveFunction/Pages/NIH-Toolbox-Dimensional-Change-Card-Sort-Test.aspx

Assessment test that measures the cognitive flexibility of patients. Two target pictures are presented that vary along two dimensions (e.g., shape and color). Participants are asked to match a series of bivalent test pictures (e.g., yellow balls and blue trucks) to the target pictures, first according to one dimension (e.g., color) and then, after a number of trials, according to the other dimension (e.g., shape). Switch trials are also employed, in which the participant must change the dimension being matched. For example, after 4 straight trials matching on shape, the participant may be asked to match on color on the next trial and then go back to shape, thus requiring the cognitive flexibility to quickly choose the correct stimulus. Scoring is based on a combination of accuracy and reaction time, and the test takes approximately 4 minutes to administer. This test is recommended for ages 3-85.

Proper citation: NIH Toolbox Dimensional Change Card Sort Test (RRID:SCR_003616) Copy   

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http://www.sanger.ac.uk/resources/software/alien_hunter/

Alien_hunter is an application for the prediction of putative Horizontal Gene Transfer (HGT) events with the implementation of Interpolated Variable Order Motifs (IVOMs). This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. An IVOM approach exploits compositional biases using variable order motif distributions and captures more reliably the local composition of a sequence compared to fixed-order methods. Optionally the predictions can be parsed into a 2-state 2nd order Hidden Markov Model (HMM), in a change-point detection framework, to optimize the localization of the boundaries of the predicted regions. The predictions (embl format) can be automatically loaded into the freely available Artemis genome viewer.

Proper citation: Alien hunter (RRID:SCR_004575) Copy   

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http://www.well.ox.ac.uk/platypus

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 16,2023. Software tool designed for efficient and accurate variant detection in high throughput sequencing data. Haplotype based variant caller for next generation sequence data.

Proper citation: Platypus (RRID:SCR_005389) Copy   

•   Source: SciCrunch Registry

http://psychology-tools.com/spin/

A 17-item self-administered assessment questionnaire developed by the Psychiatry and Behavioral Sciences Department at Duke University effective in screening for and measuring the severity of social anxiety disorder. Each question is answered with one of 5 responses ranging from Not at All to Extremely. Each response is assigned a score and then totaled at the end. Scoring: * 0-20 Little or No Anxiety * 21-30 Mild Anxiety * 31-40 Moderate Anxiety * 41-50 Severe Anxiety * 51-68 Very Severe Anxiety

Proper citation: Social Phobia Inventory (RRID:SCR_003673) Copy   

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http://portal.ncibi.org/gateway/saga.html

SAGA (Substructure Index-based Approximate Graph Alignment) is a tool for querying a biological graph database to retrieve matches between subgraphs of molecular interactions and biological networks. SAGA implements an efficient approximate subgraph matching algorithm that can be used for a variety of biological graph matching problems such as the pathway matching SAGA uses to compare pathways in KEGG and Reactome. You can also use SAGA to find matches in literature databases that have been parsed into semantic graphs. In this use of SAGA, portions of PubMed have been parsed into graphs that have nodes representing gene names. A link is drawn between two genes if they are discussed in the same sentence (indicating there is potential association between the two genes). SAGA lets you match graphs between different databases even though the content is distinct and the databases organize pathways in different ways. This cross-database matching is achieved by SAGA's flexible approximate subgraph matching model that computes graph similarity, and allows for node gaps, node mismatches, and graph structural differences. Comparing pathways from different databases can be a useful precursor to pathway data integration. SAGA is very efficient for querying relatively small graphs, but becomes prohibitory expensive for querying large graphs. Large graph data sets are common in many emerging database applications, and most notably in large-scale scientific applications. To fully exploit the wealth of information encoded in graphs, effective and efficient graph matching tools are critical. Due to the noisy and incomplete nature of real graph datasets, approximate, rather than exact, graph matching is required. Furthermore, many modern applications need to query large graphs, each of which has hundreds to thousands of nodes and edges. TALE is an approximate subgraph matching tool for matching graph queries with a large number of nodes and edges. TALE employs a novel indexing technique that achieves a high pruning power and scales linearly with the database size.

Proper citation: Substructure Index-based Approximate Graph Alignment (RRID:SCR_003434) Copy   

•   Source: SciCrunch Registry

http://www.kickstarter.com/

Kickstarter is the world''s largest funding platform for creative projects. Every week, tens of thousands of amazing people pledge millions of dollars to projects from the worlds of music, film, art, technology, design, food, publishing and other creative fields. A new form of commerce and patronage. This is not about investment or lending. Project creators keep 100% ownership and control over their work. Instead, they offer products and experiences that are unique to each project. All or nothing funding. On Kickstarter, a project must reach its funding goal before time runs out or no money changes hands. Why? It protects everyone involved. Creators aren''t expected to develop their project without necessary funds, and it allows anyone to test concepts without risk. Each and every project is the independent creation of someone like you. Projects are big and small, serious and whimsical, traditional and experimental. They''re inspiring, entertaining and unbelievably diverse. We hope you agree... Welcome to Kickstarter!

Proper citation: Kickstarter (RRID:SCR_004246) Copy   

•   Source: SciCrunch Registry

https://pdbp.ninds.nih.gov/assets/crfs/Hamilton%20Anxiety%20Rating%20Scale%20(HAM-A).pdf

Assessment scale to assess the severity of symptoms of anxiety in adults, adolescents and children. The scale consists of 14 items, each defined by a series of symptoms, and measures both psychic anxiety (mental agitation and psychological distress) and somatic anxiety (physical complaints related to anxiety). Although the HAM-A remains widely used as an outcome measure in clinical trials, it has been criticized for its sometimes poor ability to discriminate between anxiolytic and antidepressant effects, and somatic anxiety versus somatic side effects. The HAM-A does not provide any standardized probe questions. Despite this, the reported levels of inter-rater reliability for the scale appear to be acceptable. The scale has been translated into: Cantonese for China, French and Spanish. An IVR version of the scale is available from Healthcare Technology Systems.

Proper citation: Hamilton Anxiety Rating Scale (RRID:SCR_003664) Copy   

•   Source: SciCrunch Registry

http://www.geneticepi.com/Research/software/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 16,2023. Software application (entry from Genetic Analysis Software).

Proper citation: MILD (RRID:SCR_003335) Copy   

•   Source: SciCrunch Registry

http://linkage.rockefeller.edu/pawe3d/

Software application (entry from Genetic Analysis Software)

Proper citation: PAWE-3D (RRID:SCR_003326) Copy   

•   Source: SciCrunch Registry

http://www.scid4.org/

A diagnostic exam used to determine DSM-IV Axis I disorders (SCID-I) (major mental disorders) and Axis II disorders (SCID-II) (personality disorders). An Axis I SCID assessment with a psychiatric patient usually takes between 1 and 2 hours, depending on the complexity of the subject's psychiatric history and their ability to clearly describe episodes of current and past symptoms. A SCID with a non-psychiatric patient takes 1/2 hour to 1-1/2 hours. A SCID-II personality assessment takes about 1/2 to 1 hour. The instrument was designed to be administered by a clinician or trained mental health professional. (Adapter from Wikipedia)

Proper citation: Structured Clinical Interview for DSM-IV (RRID:SCR_003682) Copy   

•   Source: SciCrunch Registry

http://www.dementiatoday.com/wp-content/uploads/2012/06/MiniMentalStateExamination.pdf

A 30 question assessment test to screen patients for cognitive impairment that is commonly used in medicine to screen for dementia. It is also used to estimate the severity of cognitive impairment and to follow the course of cognitive changes in an individual over time, thus making it an effective way to document an individual's response to treatment. It takes about 10 minutes and examines functions including arithmetic, memory and orientation.

Proper citation: Mini-Mental State Examination (RRID:SCR_003681) Copy   

•   Source: SciCrunch Registry

http://darwin.di.uminho.pt/anote2/wiki/index.php/Main_Page

THIS RESOURCE IS NO LONGER IN SERVICE. Documented September 18, 2017. Text Mining platform that copes with major Information Retrieval and Information Extraction tasks and promotes multi-disciplinary research. It aims to provide support to three different usage roles: biologists, text miners and application developers. The workbench supports the retrieval, processing and annotation of documents as well as their analysis at different levels.

Proper citation: (at)Note (RRID:SCR_005342) Copy   

•   Source: SciCrunch Registry

http://psychology-tools.com/cast/

Assessment test developed by the Autism Research Centre at the University of Cambridge, for assessing the severity of autism spectrum symptoms in children. This assessment is usually used with children aged from 4-11 years of age.

Proper citation: Childhood Autism Spectrum Test (RRID:SCR_003322) Copy   

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http://www.biostat.wustl.edu/~adrc/cdrpgm/

A numeric scale used to quantify the severity of symptoms of dementia (i.e. its stage). Using a structured-interview protocol, a qualified health professional assesses a patient's cognitive and functional performance in six areas: memory, orientation, judgment and problem solving, community affairs, home and hobbies, and personal care. Scores in each of these are combined to obtain a composite score ranging from 0 through 3. (Adapted from Wikipedia)

Proper citation: Clinical Dementia Rating (RRID:SCR_003678) Copy   

•   Source: SciCrunch Registry

http://cedar.genetics.soton.ac.uk/pub/PROGRAMS/BETA

Software application for non-parametric linkage analysis using allele sharing in sib pairs (entry from Genetic Analysis Software)

Proper citation: BETA (RRID:SCR_007556) Copy   

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http://www.wesbarris.com/mapcreator/

Software application to create gene maps using either radiation hybrid data or linkage data (entry from Genetic Analysis Software)

Proper citation: MAPCREATOR (RRID:SCR_008001) Copy   

•   Source: SciCrunch Registry

http://phenotips.cs.toronto.edu/

A software tool providing a Web interface and a database back-end for collecting clinical symptoms and physical findings observed in patients with genetic disorders. The main goals of this software are * To allow for collecting patient data in standard formats, enabling effortless data exchange and automated search in annotated gene and disease databases, and * To provide advanced functionalities and a friendly user interface that help reduce the clinician''''s workload, permitting seamless use of this application within the clinician''''s routine. PhenoTips uses the Human Phenotype Ontology (HPO) to express clinical phenotypes, and provides a friendly interface with error-tolerant, predictive search of phenotypic descriptions. PhenoTips closely mirrors clinician workflows: observations can be recorded directly during the patient encounter, and the interface is compatible with any device that runs a modern Web browser. The clinician can record demographic information, family history, medical history, various standard measurements, phenotypic abnormalities detected in the patient, pertinent indications that were not observed and that can be helpful for differential diagnosis, relevant images depicting manifestations of the patient''''s disorders, and additional notes for each of these categories. The software automatically plots growth curves, selects phenotypes reflecting abnormal measurements, instantly finds OMIM disorders matching the phenotypic description and suggests other symptoms to investigate in order to reach a more accurate diagnosis.

Proper citation: PhenoTips (RRID:SCR_006340) Copy   

•   Source: SciCrunch Registry

http://www.sph.umich.edu/csg/abecasis/GOLD/

Software package that provides a graphical summary of linkage disequilibrium in human genetic data. The graphical summary is well suited to the analysis of dense genetic maps, where contingency tables are cumbersome to interpret. An interface to the Simwalk2 application allows for the analysis of family data.

Proper citation: Graphical Overview of Linkage Disequilibrium (RRID:SCR_007151) Copy   

•   Source: SciCrunch Registry