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https://github.com/outbig/DAFGA

A python script package which estimates the evolutionary rate of a particular functional gene in a standardized manner by relating its sequence divergence to that of the 16S rRNA gene. It provides gene-specific parameter sets for OTU clustering and taxonomic assignment at desired rank, and it can be implemented into the diversity measurements offered by QIIME or Mothur.

Proper citation: DAFGA (RRID:SCR_003319) Copy   

•   Source: SciCrunch Registry

https://bitbucket.org/johanneskoester/snakemake/wiki/

A Python based language and execution environment for make-like workflows. The system supports the use of automatically inferred multiple named wildcards (or variables) in input and output filenames.

Proper citation: Snakemake (RRID:SCR_003475) Copy   

•   Source: SciCrunch Registry

http://knowledgemap.mc.vanderbilt.edu/research/content/phewas-r-package

Software package contains methods for performing Phenome-Wide Association Study.

Proper citation: PheWAS R Package (RRID:SCR_003512) Copy   

•   Source: SciCrunch Registry

https://github.com/BauerLab/ngsane

Software providing a Linux-based High Performance Computing (HPC) enabled framework for high-throughput data analysis that minimizes overhead for set up and processing of new projects yet maintains full flexibility of custom scripting when processing raw sequence data.

Proper citation: NGSANE (RRID:SCR_003478) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/snape-pooled/

Software that computes the probability distribution for the frequency of the minor allele in a certain population, at a certain position in the genome.

Proper citation: SNAPE-pooled (RRID:SCR_003476) Copy   

•   Source: SciCrunch Registry

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

Software tool for running and managing bioinformatics pipelines. It specializes in enabling users to turn existing pipelines based on shell scripts or command line tools into highly flexible, adaptable and maintainable workflows with a minimum of effort. Bpipe ensures that pipelines execute in a controlled and repeatable fashion and keeps audit trails and logs to ensure that experimental results are reproducible. Requiring only Java as a dependency, it is fully self-contained and cross-platform, making it very easy to adopt and deploy into existing environments.

Proper citation: Bpipe (RRID:SCR_003471) Copy   

•   Source: SciCrunch Registry

http://www.lgm.upmc.fr/parseq/

Statistical software for transcription landscape reconstruction at a basepair resolution from RNA Seq read counts. It is based on a state-space model which describes, in terms of abrupt shifts and more progressive drifts, the transcription level dynamics along the genome. Alongside variations of transcription level, it incorporates a component of short-range variation to pull apart local artifacts causing correlated dispersion. Reconstruction of the transcription level relies on a conditional sequential Monte Carlo approach that is combined with parameter estimation in a Markov chain Monte Carlo algorithm known as particle Gibbs. The method allows to estimate the local transcription level, to call transcribed regions, and to identify the transcript borders.

Proper citation: Parseq (RRID:SCR_003464) Copy   

•   Source: SciCrunch Registry

http://ctrad-csi.nus.edu.sg/gbsa/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. Software for analyzing whole-genome bisulfite sequencing data.

Proper citation: GBSA (RRID:SCR_003413) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/MultiPhen/

Software package that performs genetic association tests between SNPs (one-at-a-time) and multiple phenotypes (separately or in joint model).

Proper citation: MultiPhen (RRID:SCR_003498) Copy   

•   Source: SciCrunch Registry

http://www.biostat.wisc.edu/~kendzior/EBSEQ/

Software R package for RNA-Seq Differential Expression Analysis.

Proper citation: EBSeq (RRID:SCR_003526) Copy   

•   Source: SciCrunch Registry

http://www.hsph.harvard.edu/skat/metaskat/

A R package for multiple marker meta-analysis.

Proper citation: MetaSKAT (RRID:SCR_003489) Copy   

•   Source: SciCrunch Registry

http://genomesavant.com/p/home/index

Next-generation genome browser software designed for the latest generation of genome data.

Proper citation: Savant (RRID:SCR_003488) Copy   

•   Source: SciCrunch Registry

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

A Java interface to the mzTab data exchange format for reporting a summary of proteomics results.

Proper citation: jmzTab (RRID:SCR_003481) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/mpg/magenta/

A computational tool that tests for enrichment of genetic associations in predefined biological processes or sets of functionally related genes, using genome-wide genetic data as input.

Proper citation: MAGENTA (RRID:SCR_003422) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/NAPPA/

Software that enables the processing and normalization of the standard mRNA data output from the Nanostring nCounter software.

Proper citation: NAPPA (RRID:SCR_003419) Copy   

•   Source: SciCrunch Registry

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

A software package designed to determine the methylation parameter at each cytosine or cytosine-guanine position in the human genome. FadE uses color reads produced by the SOLiD sequencer or nucleotide reads produced by the Illumina or 454 sequencing platforms.

Proper citation: FadE (RRID:SCR_003448) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/proteomecommons-tranche/

A distributed file storage system that you can upload files to and download files from. All files uploaded to the repository are replicated several times to protect against their accidental loss. Files uploaded to the repository can be of any size, can be of any file type, and can be encrypted with a passphrase of your choosing. The Proteome Commons Tranche repository is the first instance of a Tranche repository. Tranche, was created so that anybody can take it and make their own Tranche repository. This is the first implementation of the Tranche software, and is useful as a test bed for the software. This repository relies on educational institutions to provide the hardware and facilities for Tranche servers. While we maintain a set of servers, the continued growth of this public resource will rely on the generosity of the institutions that use the repository most.

Proper citation: Proteome Commons Tranche repository (RRID:SCR_003441) Copy   

•   Source: SciCrunch Registry

http://www.compgen.org/tools/metagen

Software program providing a method for meta-analysis of case-control genetic association studies using random-effects logistic regression.

Proper citation: metagen (RRID:SCR_003443) Copy   

•   Source: SciCrunch Registry

http://www.imi.europa.eu/

Initiative to improve health by speeding up the development of, and patient access to, innovative medicines, particularly in areas where there is an unmet medical or social need. It does this by initiating and managing consortia composed of the key players involved in healthcare research, including universities, the pharmaceutical and other industries, small and medium-sized enterprises (SMEs), patient organizations, and medicines regulators. IMI is a public-private partnership between the European Union and the European pharmaceutical industry, represented by the European Federation of Pharmaceutical Industries and Associations (EFPIA), with a timeframe separated into two phases (2008-2013, 2014-2024) that are each defined by unique research agendas. The first phase (2008 2013) had four pillars that defined the focus of its research agenda: * Predicting safety: evaluating the safety of a compound during the pre-clinical phase of the development process and the later phases in clinical development. * Predicting efficacy: improving the ability to predict how a drug will interact in humans and how it may produce a change in function. * Knowledge management: utilization of information and data for predicting safety and efficacy. * Education and training: closing existing training gaps in the drug development process. Some of the consortia managed under IMI focused on specific health issues while others focused on broader challenges in drug development. Additionally, IMI launched a number of education and training projects during its first phases. The goal of the second phase (IMI2, 2014-2024) is to develop next generation vaccines and drugs. The focus is on delivering the right prevention and treatment for the right patient at the right time. There is a strong focus on the development of new medicines with an emphasis on tools and methods that accelerate patient access to new medicines. IMI2's agenda can be defined by four axes of research: * target validation and biomarker research (efficacy and safety) * adoption of innovative clinical trial paradigms * innovative medicines * patient-tailored adherence programs As part of its distinct goals, IMI2 aims to deliver: * 30% better success rate in clinical trials of priority medicines identified by the WHO; clinical proof of concept in immunological, respiratory, neurological and neurodegenerative diseases in five years; * new and approved diagnostic markers for four of these diseases and at least two new medicines which could either be new antibiotics or new therapies for Alzheimer's disease.

Proper citation: Innovative Medicines Initiative (RRID:SCR_003754) Copy   

•   Source: SciCrunch Registry

https://www.ghitfund.org/

A consortium that focuses their efforts on discovering and developing new pharmaceutical drugs, vaccines (both preventive and therapeutic) and diagnostics against the infectious diseases that are prevalent in developing countries. The initial targets are those disorders designated by WHO as neglected tropical diseases prevalent in developing nations. The consortium aims to facilitate international partnerships that enable Japanese technology, innovations, and insights to play a more direct role in improving global health. Another goal of GHIT is to develop a new drug-discovery screening platform to assist the screening of compound libraries housed within Japanese companies and academic institutions. The vision is to have Japanese research organizations donate compounds, with the Fund reimbursing screening costs and leveraging screening programs of existing product-development partners.

Proper citation: Global Health Innovative Technology Fund (RRID:SCR_003753) Copy   

•   Source: SciCrunch Registry