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http://mitcr.milaboratory.com/

An open source software package aimed at extraction of information on repertoire of T-cell clones from Next Generation Sequencing (NGS) data. It is designed with the knowledge of the critical challenges arising in everyday processing of immunological data.

Proper citation: MiTCR (RRID:SCR_004989) Copy   

•   Source: SciCrunch Registry

http://www.cs.helsinki.fi/u/lmsalmel/mip-scaffolder/

A software program for scaffolding contigs produced by fragment assemblers using mate pair data such as those generated by ABI SOLiD or Illumina Genome Analyzer.

Proper citation: MIP Scaffolder (RRID:SCR_005072) Copy   

•   Source: SciCrunch Registry

http://compbio.cs.toronto.edu/hapsembler/scarpa.html

A stand-alone scaffolding tool for NGS data. It can be used together with virtually any genome assembler and any NGS read mapper that supports SAM format. Other features include support for multiple libraries and an option to estimate insert size distributions from data.

Proper citation: Scarpa (RRID:SCR_005073) Copy   

•   Source: SciCrunch Registry

http://neuroscienceblueprint.nih.gov/factSheet/MicronCon.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2012. (no longer being funded) The NIH Microarray Consortium provides for-fee services to a community of NIH grantees, together with a more limited set of services to the public. The primary goal of this consortium is to move basic and translational research forward through acquisition and dissemination of high quality genomic data. This site includes a repository of microarray data sets and offers one-click links to public projects. These datasets were generated by various researchers on these platforms: Affymetrix, Agilent, Ambion, cDNA, Illumina, and Operon. The species currently covered are: Arabidopsis, Bovine, chicken, C. Elegans, Drosophila, Human, Macaca mulatta (Rhesus macaque), Mouse, Rat, Songbird, Xenopus, Yeast, and zebra finch. Basic search functions allows users to choose multiple options for finding the projects that interest them, and raw data files can also be downloaded after user registration. Web-based data analysis tools are also available. Scientists can analyze microarray data from the consortium repository or investigators can upload outside data for analysis.

Proper citation: NIH Neuroscience Microarray Consortium (RRID:SCR_004930) Copy   

•   Source: SciCrunch Registry

http://www.bmbf.de/en/index.php

Proper citation: German Federal Ministry of Education and Research (RRID:SCR_005066) Copy   

•   Source: SciCrunch Registry

http://www.adrccares.org/

The Alzheimer's and Dementia Resource Center (ADRC) facilitates tissue donations for the Brain Bank Research Program in order to help find better treatments, more diagnostic tools and a cure for Alzheimer's disease and dementia. The Brain Bank Program is administered by Mount Sinai Medical Center in Miami Beach and under contract with the Florida Department of Elder Affairs. ADRC also provides caregivers with the educational resources, spiritual comfort and emotional support. The ADRC facilitates training for professional caregivers that meets requirements for the Florida Department of Elder Affairs.

Proper citation: Alzheimer's and Dementia Resource Center (RRID:SCR_004924) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/PHENOMEBLAST

A cross-species phenotype and anatomy ontology resulting from combining available anatomy and phenotype ontologies and their definitions. The ontology includes phenotype definitions for yeast, mouse, fish, worm, fly and human phenotypes and diseases.

Proper citation: PhenomeBLAST Ontology (RRID:SCR_005139) Copy   

•   Source: SciCrunch Registry

http://petrov.stanford.edu/cgi-bin/Tlex.html

Software package for fast and accurate discovery, annotation, re-annotation and population analysis of Transposable Elements using Next-Generation Sequencing data.

Proper citation: T-lex (RRID:SCR_005134) Copy   

•   Source: SciCrunch Registry

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

A quick and simple pipeline for the analysis of transposable element (TE) insertions in (natural) populations using next generation sequencing. It calculates TE insertion frequencies for TEs that are present in the reference genome as well as for novel TE insertions. PoPoolation TE requires paired-end reads from a pooled population, a reference sequence and transposable element sequences (fasta-file).

Proper citation: PoPoolation TE (RRID:SCR_005131) Copy   

•   Source: SciCrunch Registry

http://www.sloan.org/

The Alfred P. Sloan Foundation is a philanthropic, not-for-profit grantmaking institution based in New York City. Established in 1934 by Alfred Pritchard Sloan Jr., then-President and Chief Executive Officer of the General Motors Corporation, the Foundation makes grants in support of original research and education in science, technology, engineering, mathematics and economic performance. * Promotes research in science, technology, engineering, mathematics, and economic performance * Offers two-year long research fellowships for early career researchers

Proper citation: Alfred P. Sloan Foundation (RRID:SCR_005099) Copy   

•   Source: SciCrunch Registry

https://datashare.ed.ac.uk/handle/10283/3844

Genome transcriptome atlas by RNA in situ hybridization on sagittal sections of developing mouse at embryonic day 14.5. Consists of searchable database of annotated images that can be interactively viewed. Anatomy based expression profiles for coding genes and microRNAs, tissue specific genes. Expression data generated by using human and murine tissue arrays.

Proper citation: Eurexpress (RRID:SCR_005093) Copy   

•   Source: SciCrunch Registry

http://cbil.upenn.edu/BEERS/

A simulation engine for generating RNA-Seq data that was designed to benchmark RNA-Seq alignment algorithms and also algorithms that aim to reconstruct different isoforms and alternate splicing from RNA-Seq data. By default BEERS simulates either mouse or human paired-end RNA-Seq data modeled on the illumina platform. It starts with a large number of gene models (approx 500K) taken from about ten different published annotation efforts, and then chooses a fixed number of these genes at random (30,000 by default). This avoids biasing for or against any particular set of annotations. BEERS then introduces substitutions, indels, alternate spice forms, sequencing errors, and intron signal. BEERS can also simulate strand specific reads. BEERS does not simulate quality scores. There are four configuration files required, these are available for human and mouse. BEERS can also be configured to use any set of gene models. Pre-built indexes for human refseq are given. Using these indexes will generate a much tamer set of transcripts. BEERS is written in perl.

Proper citation: BEERS (RRID:SCR_005090) Copy   

•   Source: SciCrunch Registry

http://www.uni-kiel.de/index-e.shtml

A university in Germany.

Proper citation: University of Kiel; Schleswig-Holstein; Germany (RRID:SCR_005127) Copy   

•   Source: SciCrunch Registry

http://www.scientificamerican.com/

Scientific American, the oldest continuously published magazine in the U.S., has been bringing its readers unique insights about developments in science and technology for more than 160 years. It is the leading source and authority for science, technology information and policy for a general audience. In an era of rapid innovation, Scientific American founded the first branch of the U.S. Patent Agency, in 1850, to provide technical help and legal advice to inventors. A Washington, D.C., branch was added in 1859. By 1900 more than 100,000 inventions had been patented thanks to Scientific American. * Read in print by 3.5 million worldwide consumers * On average, 2.7 million unique users visit ScientificAmerican.com every month * 14 local language editions worldwide, including the U.S. edition of Scientific American, read in more than 30 countries, with a worldwide audience of more than 5 million people * A third of Scientific American readers hold postgraduate degrees * 144 Nobel Prize Scientists have contributed 234 articles to Scientific American * Part of Macmillan Publishers, owned by Holtzbrinck Group of companies; acquired by Holtzbrinck in 1986 * Three Scientific American features in the Federal Record * Scientific American won the 2011 National Magazine Award for General Excellence.

Proper citation: Scientific American (RRID:SCR_005243) Copy   

•   Source: SciCrunch Registry

http://woldlab.caltech.edu/rnaseq

Software for Mapping and Quantifying Mammalian Transcriptomes by RNA-Seq. Its functions are to (i) assign reads that map uniquely in the genome to their site of origin and, for reads that match equally well to several sites (''multireads''), assign them to their most likely site(s) of origin; (ii) detect splice-crossing reads and assign them to their gene of origin; (iii) organize reads that cluster together, but do not map to an already known exon, into candidate exons or parts of exons; and (iv) calculate the prevalence of transcripts from each known or newly proposed RNA, based on normalized counts of unique reads, spliced reads and multireads. The new candidate RNA regions produced can be thought of as ESTs, and, like ESTs, some are provisionally appended to existing gene models if they meet several additional criteria. Remaining unassigned candidate transcribed regions (labeled RNAFAR features) can then be used in conjunction with other confirming data to develop new or revised gene models.

Proper citation: ERANGE (RRID:SCR_005240) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/cancer/cga/rna-seqc

Java software which computes a series of quality control metrics for RNA-seq data and can compare sequencing quality across different samples or experiments to evaluate different experimental parameters. The input can be one or more BAM files, and the output consists of HTML reports and tab delimited files of metrics data.

Proper citation: RNA-SeQC (RRID:SCR_005120) Copy   

•   Source: SciCrunch Registry

http://flux.sammeth.net/capacitor.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. Software that aims at modeling RNA-Seq experiments in silico: sequencing reads are produced from a reference genome according annotated transcripts. The simulation pipeline models different steps as modules, each with a minimal set of parameters that can be estimated by experimental parameters. The first step is-in fact-a transcriptome simulator. Subsequently, common sources of systematic bias in the abundance and distribution of produced reads are simulated by in silico library preparation and sequencing.

Proper citation: Flux Simulator (RRID:SCR_005088) Copy   

•   Source: SciCrunch Registry

http://www.jobs.ac.uk/

International job board for careers in academic, research, science and related professions in the UK, Europe, Australasia, Africa, America and Asia & Middle East. Launched by the University of Warwick, they have grown to become the top recruitment site in their sector, attracting the most qualified and talented people from the UK, Europe and across the world. Users may subscribe to Jobs by Email for vacancies in universities, colleges, research institutions, commercial and public sector, schools and charities. You may upload your CV to give yourself an advantage by making your CV visible to top employers now!

Proper citation: jobs.ac.uk (RRID:SCR_005154) Copy   

•   Source: SciCrunch Registry

http://www.pantherdb.org/tools/csnpScoreForm.jsp

Data analysis service that estimates the likelihood of a particular nonsynonymous (amino-acid changing) coding SNP to cause a functional impact on the protein. To analyze many SNPs, download the PANTHER Coding Snp Analysis tool from the downloads page.

Proper citation: PANTHER Evolutionary analysis of coding SNPs (RRID:SCR_005145) Copy   

•   Source: SciCrunch Registry

http://www.cmbi.ru.nl/hope/home

An easy-to-use webserver that analyses the structural effects of your mutation of interest. The server allows you to submit a protein sequence and the mutation. Project HOPE will then collect and combine available information from a series of webservers and databases and will produce a mutation report complete with results, figures and animations. Where available Project HOPE will use the 3D structure of the protein but the server can also build a homology model if necessary. Other information sources include the Uniprot database and a series of DAS prediction servers., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Project HOPE (RRID:SCR_005141) Copy   

•   Source: SciCrunch Registry