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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

https://www.biovendor.cz/

An Antibody supplier

Proper citation: BioVendor Laboratory Medicine (RRID:SCR_005143) Copy   

•   Source: SciCrunch Registry

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

An R package for DNA methylation analysis and annotation from high-throughput bisulfite sequencing., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: methylKit (RRID:SCR_005177) Copy   

•   Source: SciCrunch Registry

http://www.well.ox.ac.uk/~kgaulton/chaos.shtml

A Perl-based system for annotation of variants identified in high-throughput sequencing experiments. Functionality includes annotation of variants with information relating to population genetics, known transcripts, positional records, and sequence motif-based prediction. In addition, annotated variants can be summarized and extracted to facilitate downstream analysis. There is also basic support for gene-based biological annotation, and eventually will include tools for variant and genotype analysis and visualization.

Proper citation: CHAoS (RRID:SCR_005174) Copy   

•   Source: SciCrunch Registry

http://anntools.sourceforge.net/

Software tool for annotating single nucleotide substitutions (SNP/SNV), small insertions/deletions (indels), and copy number variations (CNV) calls generated from sequencing and microarray data. Only human genome build 37/hg19 can be annotated at this time.

Proper citation: AnnTools (RRID:SCR_005170) Copy   

•   Source: SciCrunch Registry

http://www.uni-konstanz.de/en/welcome/

University in the city of Konstanz in Baden-Württemberg, Germany. Its main campus was opened on the Gießberg in 1972 after being founded in 1966.

Proper citation: University of Konstanz; Baden-Wurttemberg; Germany (RRID:SCR_005171) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/software/pathseq/

A computational tool for the identification and analysis of microbial sequences in high-throughput human sequencing data that is designed to work with large numbers of sequencing reads in a scalable manner. This process is composed of a subtractive phase in which input reads are subtracted by alignment to human reference sequences, and an analytic phase in which the remaining reads are aligned to microbial reference sequences (viral, fungal, bacterial, archaeal) and de novo assembled. PathSeq is currently available in a cloud computing environment via Amazon Web Services The typical approach one would take to pathogen discovery with PathSeq: RNA or DNA is extracted from the tissue of interest and sequencing libraries are constructed to be run on the next-generation DNA sequencing platform of choice. The resulting sequence data is run through the PathSeq pipeline in a cloud computing environment. PathSeq reports potential microbes in the sequence data as well as the complete set of reads that could not be identified as human or microbial sequences.

Proper citation: PathSeq (RRID:SCR_005203) Copy   

•   Source: SciCrunch Registry

http://cbrc.kaust.edu.sa/readscan/

A highly scalable parallel software program to identify non-host sequences (of potential pathogen origin) and estimate their genome relative abundance in high-throughput sequence datasets.

Proper citation: READSCAN (RRID:SCR_005204) Copy   

•   Source: SciCrunch Registry

http://odin.mdacc.tmc.edu/~xsu1/VirusSeq.html

An algorithmic software tool for detecting known viruses and their integration sites using next-generation sequencing of human cancer tissue. VirusSeq takes FASTQ files (paired-end reads) as input.

Proper citation: VirusSeq (RRID:SCR_005206) Copy   

•   Source: SciCrunch Registry

http://smithlab.usc.edu/methpipe/

A computational pipeline for analyzing bisulfite sequencing data.

Proper citation: MethPipe (RRID:SCR_005168) Copy   

•   Source: SciCrunch Registry

http://www.lsrf.org/

In the belief that innovation and discovery occur in direct proportion to quality of training, the Life Sciences Research Foundation administers an international program of postdoctoral fellowships in all areas of the life sciences. Since it was established, in 1981, the Foundation has attracted support from a wide variety of sponsors. The mission of the Life Sciences Research Foundation (LSRF) is to establish partnerships between those who support research in the life sciences and academic institutions for their mutual benefit. The simple vehicle for achieving this partnership is a highly competitive postdoctoral fellowship program. Fellowship Eligibility. Three-year fellowships will be awarded on a competitive basis to graduates of medical and graduate schools in the biological sciences holding M.D., Ph.D., D.V.M. or D.D.S. degrees. Awards will be based solely on the quality of the individual applicant''s previous accomplishments, and on the merit of the proposal for postdoctoral research. Persons doing a second postdoc are eligible only if they are transferring to a different supervisor''s laboratory and embarking on a new project not connected to their previous research. All U.S. citizens are eligible to apply with no geographic restriction on the laboratory of their choice. Foreign applicants will be eligible for study in U.S. laboratories. LSRF fellows must carry out their research at nonprofit institutions. LSRF fellows may change projects, laboratories, and/or institutions during the fellowship as long as the eligibility rules listed here are not violated. A person holding a faculty appointment is not eligible to apply for an LSRF fellowship. The LSRF solicits monies from industry, foundations and individuals to support postdoctoral fellowships in the life sciences. Active solicitation of funds continues, for which we need the assistance of all concerned individuals. We recognize that discoveries and the application of innovations in biology for the public''s good will depend upon the training and support of the highest quality young scientists in the very best research environments. LSRF awards fellowships across the spectrum of the life sciences: biochemistry; cell, developmental, molecular, plant, structural, organismic population and evolutionary biology; endocrinology; immunology; microbiology; neurobiology; physiology; virology. Note: There may be no more than one LSRF fellow in any one laboratory at a time.

Proper citation: Life Sciences Research Foundation (RRID:SCR_005115) Copy   

•   Source: SciCrunch Registry

http://archive.gersteinlab.org/proj/rnaseq/IQSeq/

Software for integrated Isoform Quanti?cation Analysis based on A Partial Sampling Framework.

Proper citation: IQSeq (RRID:SCR_005238) Copy   

•   Source: SciCrunch Registry

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

Software that characterizes coexisting subpopulations (SPs) in a tumor using copy number and allele frequencies derived from exome- or whole genome sequencing input data. The model amplifies the statistical power to detect coexisting genotypes, by fully exploiting run-specific tradeoffs between depth of coverage and breadth of coverage. ExPANdS predicts the number of clonal expansions, the size of the resulting SPs in the tumor bulk, the mutations specific to each SP and tumor purity. The main function runExPANdS provides the complete functionality needed to predict coexisting SPs from single nucleotide variations (SNVs) and associated copy numbers. The robustness of the subpopulation predictions by ExPANdS increases with the number of mutations provided. It is recommended that at least 200 mutations are used as an input to obtain stable results.

Proper citation: ExPANdS (RRID:SCR_005199) Copy   

•   Source: SciCrunch Registry