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http://www.bioconductor.org/packages/release/bioc/html/maSigPro.html

A regression based software package to find genes for which there are significant gene expression profile differences between experimental groups in time course microarray experiments.

Proper citation: maSigPro (RRID:SCR_001349) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/genArise.html

An easy to use software tool for dual color microarray data. Its GUI-Tk based environment lets any non-experienced user perform a basic, but not simple, data analysis just following a wizard. In addition it provides some tools for the developer.

Proper citation: genArise (RRID:SCR_001346) Copy   

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https://edic.bsc.gwu.edu

Publications from a multi-center, longitudinal, observational study examining the risk factors associated with the long-term complications of type 1 diabetes. The study began in 1994 and follows the 1441 participants previously enrolled in the Diabetes Control and Complications Trial (DCCT), http://diabetes.niddk.nih.gov/dm/pubs/control/index.aspx. The primary aim of EDIC is to examine the long-term effects of conventional vs. intensive diabetes treatment received during the DCCT on the subsequent development and progression of microvascular, neuropathic and cardiovascular complications. This involves studying the influence of genetic factors and other factors such as HbA1c, blood pressure, lipid levels, and treatment modalities on the development and progression of these complications. Annual or biennial measurements (using DCCT methods, standardized protocols and central laboratories) of vascular events, albumin excretion, GFR, ECG, ankle-brachial BP index, serum lipids and HbA1c allows the following analyses: 1) continuation of intention-to-treat analyses to determine long-term effects of prior separation of glycemic levels; 2) risk factors for macrovascular outcomes; 3) correlation of progression of micro- and macrovascular outcomes. The current updated version of the EDIC Protocol is available for download. EDIC is made up of 28 clinical centers, one data coordinating center and one clinical coordinating center.

Proper citation: Epidemiology of Diabetes Interventions and Complications (RRID:SCR_001468) Copy   

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http://jilab.biostat.jhsph.edu/software/tilemap/index.htm

Software tool for microarray tile mapping. It utilizes ChIP-chip peak calling to identify genomic loci that show transcriptional activities and transcription factor binding patterns of interest.

Proper citation: TileMap (RRID:SCR_001589) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/Harshlight.html

Software package used to detect extended, diffuse and compact blemishes on microarray chips. It automatically marks the areas in a collection of chips (affybatch objects) and a corrected AffyBatch object is returned, in which the defected areas are substituted with NAs or the median of the values of the same probe in the other chips in the collection.

Proper citation: Harshlight (RRID:SCR_001340) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/MiChip.html

Software package that takes the MiChip miRNA microarray .grp scanner output files and parses these out, providing summary and plotting functions to analyse MiChip hybridizations. A set of hybridizations is packaged into an ExpressionSet allowing it to be used by other BioConductor packages.

Proper citation: MiChip (RRID:SCR_001341) Copy   

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https://github.com/beiko-lab/gengis

A bioinformatics application that allows users to combine digital map data with information about biological sequences collected from the environment. It provides a 3D graphical interface in which the user can navigate and explore the data, as well as a Python interface that allows easy scripting of statistical analyses using the Rpy libraries.

Proper citation: GenGIS (RRID:SCR_001465) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/frma.html

Preprocessing and analysis software for single microarrays and microarray batches.

Proper citation: fRMA (RRID:SCR_001345) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/ACME.html

A set of tools for analysing tiling array ChIP/chip, DNAse hypersensitivity, or other experiments that result in regions of the genome showing enrichment. It does not rely on a specific array technology (although the array should be a tiling array), is very general (can be applied in experiments resulting in regions of enrichment), and is very insensitive to array noise or normalization methods. It is also very fast and can be applied on whole-genome tiling array experiments quite easily with enough memory.

Proper citation: ACME (RRID:SCR_001464) Copy   

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http://eddylab.org/software.html

Software library containing tools for statistical manipulations of data. Tools include profile hidden Markov models for biological sequence analysis, RNA structure analysis, and a prototype noncoding RNA genefinder.

Proper citation: Eddy Lab Software (RRID:SCR_001458) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/arrayQualityMetrics.html

Software package that generates microarray quality metrics reports for data in Bioconductor microarray data containers (ExpressionSet, NChannelSet, AffyBatch). Reports contain both general and platform-specific sections. Both one and two color array platforms are supported.

Proper citation: arrayQualityMetrics (RRID:SCR_001335) Copy   

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http://neuronalarchitects.com/neural-cipher.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 17, 2016. C#.NET 4.0 application that interfaces with the Neural Maestro class library to perform Classical and Bayesian logistic polynomial regression analysis for multiple trial and experimental neuroscience / electrophysiological datasets. The idea is to build a neural feature extractor to plug into a neural recognition network based on recordings from patch clamps and/or brain computer interfaces. Frequency based feature sets are collected from the simulation of neuronal cell assemblies and examined for inclusion in combinatorial regressions using the Neural Maestro API. Regressions are evaluated based on different metrics. The application interfaces with a R and MATLAB API and produces a compendium to be published on CRAN.

Proper citation: Neural Cipher (RRID:SCR_001577) Copy   

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https://rdrr.io/bioc/DEDS/

Software library that contains functions that calculate various statistics of differential expression for microarray data, including t statistics, fold change, F statistics, SAM, moderated t and F statistics and B statistics. It also implements methodology (Differential Expression via Distance Summary) which selects differentially expressed genes by integrating and summarizing a set of statistics using a weighted distance approach.

Proper citation: DEDS (RRID:SCR_001339) Copy   

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https://clinicaltrials.gov/study/NCT01619475

Study consisting of nine liver transplant centers with expertise in adult living-donor liver transplantation (LDLT) and a central data coordinating center to provide valuable information on the outcomes of adult to adult living donor liver transplantation (AALDLT) to aid decisions made by physicians, patients, and potential donors. The study will establish and maintain the infrastructure required to accrue and follow sufficient numbers of patients being considered for and undergoing AALDLT to provide generalizable data from adequately powered studies. The major aims of A2ALL are as follows: * Quantify the impact of choosing LDLT on the candidate for transplantation * Characterize the difference between LDLT and deceased donor liver transplant (DDLT) in terms of post-transplant outcomes, including patient and graft survival, surgical morbidity, and resource utilization on the recipient of a transplant * Determine the short- and long-term health and quality of life (QOL) impact of donation, including (a) morbidity after liver donation and (b) long-term health-related QOL of donors. * Standardize and assess the role of informed consent in affecting the decision to donate and satisfaction after living liver donation * Other aims include comparison of the severity of recurrence of hepatocellular carcinoma for DDLT versus LDLT, the systematic characterization of liver regeneration and function in donors and recipients, the evaluation of the differences in the immune response to LDLT versus DDLT, and the establishment of a robust data and sample repository on liver transplantation that may be used to study clinical and biological questions as new technologies and resources become available. Patients enrolled in the study will be followed and managed in a standardized fashion.

Proper citation: Adult to Adult Living Donor Liver Transplantation Cohort Study (RRID:SCR_001494) Copy   

•   Source: SciCrunch Registry
  

https://repository.niddk.nih.gov/study/119

Multi-center randomized clinical trial to determine if the addition of behavioral treatment to drug therapy for the treatment of urge incontinence will make it possible to discontinue the drug and still maintain a reduced number of accidents. The most popular treatments for urge incontinence are drug therapy and behavior therapy, each with its own limitations. In this clinical study, the Urinary Incontinence Treatment Network (UITN) aims to determine differences with the addition of behavioral treatment to drug therapy alone.

Proper citation: Behavior Enhances Drug Reduction of Incontinence (RRID:SCR_001495) Copy   

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https://3dvcell.ncbi.nlm.nih.gov/

THIS RESOURCE IS NO LONGER IN SERVICE, confirmed by curator 11/21/2018; Community of researchers attempting to build a comprehensive virtual cell model. The 3DVC will do for cell biology what the Large Hadron Collider (LHC) does for particle physics, but through a virtual rather than physical resource. It will bring together collaborators around a shared infrastructure to advance the field through efficient groundbreaking science and technology, the results of which will be broadly disseminated to an audience ranging from K12 to professionals. The 3DVC is committed to open science, yet strives for sustainability through new business models that leverages that open content.

Proper citation: 3DVC (RRID:SCR_001377) Copy   

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http://alpha-1foundation.org/

A not-for-profit organization to increase awareness of and find a cure for Alpha-1 Antitrypsin Deficiency that has invested nearly $39 million to support Alpha-1 research at more than 70 institutions in North America, Europe and Australia. They are dedicated to providing the leadership and resources that will result in increased research, improved health, worldwide detection, and a cure for Alpha-1 Antitrypsin Deficiency. The Foundation has developed a solid infrastructure to promote research and the development of new therapies for improving the quality of life for those diagnosed with Alpha-1. It has fostered collaborations with investigators throughout the United States and Europe, working closely with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), individuals affected by Alpha-1, and the pharmaceutical industry to expedite the development of improved therapies. The Foundation participates in industry and government liaison groups and develops strategic alliances with government, industry and other national and international health and research organizations. They're the source for all Alpha-1 and COPD-related info.

Proper citation: Alpha-1 Foundation (RRID:SCR_001498) Copy   

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http://pathology-anatomy.missouri.edu/research/diabetes.html

Standardization of c-peptide by calibrating C-peptide measurement to a reference method can increase comparability between laboratories. The C-peptide standardization program is supported to establish reliability in results and facilitate the conduct of international clinical trials. For c-peptide, purified or processed material shows significant matrix effects and cannot be used for calibration. The C-peptide program has evaluated the use of single donor and pooled specimens for use by manufacturers in the calibration of these assays and determined that this strategy will reduce C-peptide variability among different assay methods. The standardization process through manufacturer re-calibration is ongoing.

Proper citation: Standardization of C-peptide measurements (RRID:SCR_001499) Copy   

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http://sfld.rbvi.ucsf.edu/

A database of hierarchical classification of enzymes that relates specific sequence-structure features to specific chemical capabilities. The SFLD classifies evolutionarily related enzymes according to shared chemical functions and maps these shared functions to conserved active site features. The classification is hierarchical, where broader levels encompass more distantly related proteins with fewer shared features. It thus serves as the analysis and archive site for superfamilies targeted by the Enzyme Function Initiative, and is developed by the Babbitt Laboratory in collaboration with the UCSF Resource for Biocomputing, Visualization, and Informatics. The resource also provides a collection of tools and data for investigating sequence-structure-function relationships and hypothesizing function.

Proper citation: Structure-function linkage database (RRID:SCR_001375) Copy   

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https://www.ddbj.nig.ac.jp/dra/index-e.html

Archive database for output data generated by next-generation sequencing machines including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, and others. DRA is a member of the International Nucleotide Sequence Database Collaboration (INSDC) and archiving the data in a close collaboration with NCBI Sequence Read Archive (SRA) and EBI Sequence Read Archive (ERA). Please submit the trace data from conventional capillary sequencers to DDBJ Trace Archive., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: DDBJ Sequence Read Archive (RRID:SCR_001370) Copy   

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