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http://compbio.cs.toronto.edu/ireckon/

An algorithm for the simultaneous isoform reconstruction and abundance estimation. In addition to modelling novel isoforms, multi-mapped reads and read duplicates, this method takes into account the possible presence of unspliced pre-mRNA and intron retention. iReckon only requires a set of transcription start and end sites, but can use known full isoforms to improve sensitivity. Starting from the set of nearly all possible isoforms, iReckon uses a regularized EM algorithm to determine those actually present in the sequenced sample, together with their abundances. iReckon is multi-threaded to increase efficiency in all its time consuming steps.

Proper citation: iReckon (RRID:SCR_005232) Copy   

•   Source: SciCrunch Registry

http://www.hfsp.org/funding

The HFSP supports novel, innovative and interdisciplinary basic research focused on the complex mechanisms of living organisms; topics range from molecular and cellular approaches to systems and cognitive neuroscience. A clear emphasis is placed on novel collaborations that bring biologists together with scientists from fields such as physics, mathematics, chemistry, computer science and engineering to focus on problems at the frontier of the life sciences. The Trust provides funding for research regarding complex biological systems. It offers research grants, post doc fellowships, career development fellowships, and short- long- and cross- disciplinary fellowships. HFSP funding programs are strictly project-related and begin at the postdoctoral level. We have no support for PhD students nor for travel grants to scientific meetings. Nor do we provide sponsorship or funds to organizers of scientific meetings. Research Grants Research Grants are awarded for novel collaborations involving extensive collaboration among teams of scientists working in different countries and in different disciplines. Two types of grants are available: Young Investigators Grants and Program Grants. Postdoctoral Fellowships Postdoctoral Fellowships are available for scientists who wish to work in foreign laboratories, with emphasis on individuals early in their careers who wish to obtain training in a different field of research. Fellows who return to their home countries or move to an HFSP member country that is different from the Fellowship host country are eligible to apply for a Career Development Award. Long-Term Fellowships are for scientists with a Ph.D. degree in the life sciences who wish to broaden their experience through postdoctoral training abroad. Cross-Disciplinary Fellowships are intended for postdoctoral fellows with a Ph.D. degree in the physical sciences, chemistry, mathematics, engineering and computer sciences who wish to receive training in biology. Career Development Awards Career Development Awards are for former HFSP Long-Term or Cross-Disciplinary Fellows who return to their home country or move to an HFSP member country that is different from the host country of their HFSP Fellowship. The award provides support for initiating the fellows'' first independent laboratory., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Human Frontier Science Program (RRID:SCR_005112) Copy   

•   Source: SciCrunch Registry

http://snpeff.sourceforge.net/

Genetic variant annotation and effect prediction software toolbox that annotates and predicts effects of variants on genes (such as amino acid changes). By using standards, such as VCF, SnpEff makes it easy to integrate with other programs.

Proper citation: SnpEff (RRID:SCR_005191) Copy   

•   Source: SciCrunch Registry

http://gmt.genome.wustl.edu/somatic-sniper/current/

Software program to identify single nucleotide positions that are different between tumor and normal (or, in theory, any two bam files). It takes a tumor bam and a normal bam and compares the two to determine the differences. It outputs a file in a format very similar to Samtools consensus format. It uses the genotype likelihood model of MAQ (as implemented in Samtools) and then calculates the probability that the tumor and normal genotypes are different. This probability is reported as a somatic score. The somatic score is the Phred-scaled probability (between 0 to 255) that the Tumor and Normal genotypes are not different where 0 means there is no probability that the genotypes are different and 255 means there is a probability of 1 ? 10(255/-10) that the genotypes are different between tumor and normal. This is consistent with how the SAM format reports such probabilities. It is currently available as source code via github or as a Debian APT package.

Proper citation: SomaticSniper (RRID:SCR_005108) Copy   

•   Source: SciCrunch Registry

http://www.braintumorfunders.org/

The Brain Tumor Funders'' Collaborative is a partnership among five private philanthropic and advocacy organizations: American Brain Tumor Association, Brain Tumour Foundation of Canada, Children''s Brain Tumor Foundation, James S. McDonnell Foundation, and Sontag Foundation. This Collaborative promotes research directly relating to brain tumors and offers grants to professors and institutions to conduct research.

Proper citation: Brain Tumor Funders Collaborative (RRID:SCR_005104) Copy   

•   Source: SciCrunch Registry

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

A stand-alone executable software with user-friendly graphical interface implemented in Python/C++ for rare variant association studies. It is designed as a unified simulation framework to provide an unbiased and easy manner to evaluate association methods, including novel methods, under a broad range of choice of biological contexts. It consists of three modules, variant data simulator, genotype/phenotype generator and association method evaluator. SimRare generates variant data for gene regions using forward-time simulation which incorporates realistic population demographic and evolutionary scenarios. For phenotype data it is capable of generating both case-control and quantitative traits. The phenotypic effects of variants can be detrimental, protective or non-causal. SimRare has a graphical user interface which allows for easy entry of genetic and phenotypic parameters. Simulated data can be written into external files in a standard format. For novel association method implemented in R it can be imported into SimRare, which has been equipped built in functions to evaluate performance of new method and visually compare it with currently available ones in an unbiased manner.

Proper citation: SimRare (RRID:SCR_005226) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/gatk/gatkdocs/org_broadinstitute_sting_gatk_walkers_indels_SomaticIndelDetector.html

Tool for calling indels in Tumor-Normal paired sample mode.

Proper citation: SomaticIndelDetector (RRID:SCR_005107) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/comrad/

A novel algorithmic framework for the integrated analysis of RNA-Seq and Whole Genome Shotgun Sequencing (WGSS) data for the purposes of discovering genomic rearrangements and aberrant transcripts. The Comrad framework leverages the advantages of both RNA-Seq and WGSS data, providing accurate classification of rearrangements as expressed or not expressed and accurate classification of the genomic or non-genomic origin of aberrant transcripts. A major benefit of Comrad is its ability to accurately identify aberrant transcripts and associated rearrangements using low coverage genome data. As a result, a Comrad analysis can be performed at a cost comparable to that of two RNA-Seq experiments, significantly lower than an analysis requiring high coverage genome data.

Proper citation: comrad (RRID:SCR_005101) Copy   

•   Source: SciCrunch Registry

http://service.iris.edu/fdsnws/dataselect/1/

Web service to access seismic time-series data for specified channels and time ranges that are selected using SEED time series identifiers (network, station, location & channel). Data are returned in miniSEED format. This service is an implementation of the International Federation of Digital Seismograph Networks (FDSN) web service specification version 1.

Proper citation: IRIS DMC FDSNWS dataselect Web Service (RRID:SCR_005103) Copy   

•   Source: SciCrunch Registry

http://biohaskell.org/Applications/FlowSim

A suite of tools for simulating the 454 pyrosequencing process. It is based on the characteristics of real 454 data, and attempts to model the known aspects of the process.

Proper citation: FlowSim (RRID:SCR_005224) Copy   

•   Source: SciCrunch Registry

http://phast.wishartlab.com/

A web server designed to rapidly and accurately identify, annotate and graphically display prophage sequences within bacterial genomes or plasmids. It accepts either raw DNA sequence data or partially annotated GenBank formatted data and rapidly performs a number of database comparisons as well as phage cornerstone feature identification steps to locate, annotate and display prophage sequences and prophage features. Relative to other prophage identification tools, PHAST is up to 40 times faster and up to 15% more sensitive. It is also able to process and annotate both raw DNA sequence data and Genbank files, provide richly annotated tables on prophage features and prophage quality and distinguish between intact and incomplete prophage. PHAST also generates downloadable, high quality, interactive graphics that display all identified prophage components in both circular and linear genomic views. Databases available for download include Virus DB, Prophage and virus DB, Bacteria DB, and PHAST result DB. Pre-calculated genomes for viewing are also available.

Proper citation: PHAge Search Tool (RRID:SCR_005184) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/snpdat/

A simple and easy to use high through-put analysis tool which can provide comprehensive annotation of both novel and known single nucleotide polymorphisms (SNPs) for any organism with a draft sequence and annotation. SNPdat makes possible analyses involving non-model organisms that are not supported by the vast majority of SNP annotation tools currently available. It is especially intended for use by researchers with limited bioinformatic experience.

Proper citation: SNPdat (RRID:SCR_005187) Copy   

•   Source: SciCrunch Registry

https://github.com/ruping/Breakpointer

A fast tool for locating sequence breakpoints from the alignment of single end reads (SE) produced by next generation sequencing (NGS). It adopts a heuristic method in searching for local mapping signatures created by insertion/deletions (indels) or more complex structural variants(SVs). With current NGS single-end sequencing data, the output regions by Breakpoint mainly contain the approximate breakpoints of indels and a limited number of large SVs. Notably, Breakpointer can uncover breakpoints of insertions which are longer than the read length. Breakpointer also can find breakpoints of many variants located in repetitive regions. The regions can be used not only as a extra support for SV predictions by other tools (such as by split-read method), but also can serve as a database for searching variants which might be missed by other tools. Breakpointer is a command line tool that runs under linux system. Breakpointer takes advanage of two local mapping features of single-end reads as a consequence of indel/SVs: 1) non-uniform read distribution (depth skewness) and 2) misalignments at the boundaries of indel/SVs. These features are summarized as breakpoint signature. Breakpointer proceeds in three stages in capturing this signature. It is implemented in C++ and perl. Input is the file or files containing alignments of single-end reads against a reference genome (in .BAM format). Output is the predicted regions containing potential breakpoints of SVs (in .GFF format). To be able to read in .BAM files, Breakpointer requires bamtools API, which users should install beforehand.

Proper citation: Breakpointer (RRID:SCR_005254) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/clever-sv/

A collection of tools to discover and genotype structural variations in genomes from paired-end sequencing reads. The main software is written in C++ with some auxiliary scripts in Python.

Proper citation: CLEVER Toolkit (RRID:SCR_005255) Copy   

•   Source: SciCrunch Registry

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

A software program designed to identify long deletions of a genome as well as the RNA splicings using long Illumina reads. Currently, Clippers is implemented for long reads Illumina, ex: 75bp or 100bp, allowing mismatches and a single deletion/splicing. Clippers is a sister tool of PerM, our short reads aligner. Users are strongly suggested to use PerM to initially mapped reads and identify the deletion/splicing with the initially unmapped reads. We plan to extend it to ABI SOLiD reads in the near future. Clippers outputs gap-alignments in SAM format. You can use SAMtools or other program to interpret the deletion/splicing. The input files are a reference in fasta format and the reads is in fasta or fastq format.

Proper citation: Clippers (RRID:SCR_005256) Copy   

•   Source: SciCrunch Registry

http://sv.gersteinlab.org/age/

A tool that implements an algorithm for optimal alignment of sequences with Structural Variations (SVs).

Proper citation: AGE (RRID:SCR_005253) Copy   

•   Source: SciCrunch Registry

http://vivoweb.org/

Open source semantic web application that enables the discovery of research and scholarship across disciplines at a particular institution and across institutions by creating a semantic cloud of information that can be searched and browsed. Participants include institutions with local installations of VIVO or those with research discovery and profiling applications that can provide semantic web-compliant data. The information accessible through the national network''''s search and browse capability will therefore reside and be controlled locally within institutional VIVOs or other semantic web applications. The VIVO ontology provides a set of types (classes) and relationships (properties) to represent researchers and the full context of their experience, outputs, interests, accomplishments, and associated institutions. https://wiki.duraspace.org/display/VIVO/VIVO-ISF+Ontology VIVO is populated with detailed profiles of faculty and researchers including information such as publications, teaching, service, and professional affiliations. It also supports browsing and a search function which returns faceted results for rapid retrieval of desired information. The rich semantically structured data in VIVO support and facilitate research discovery. Examples of applications that consume these rich data include: visualizations, enhanced multi-site search through VIVO Search, and applications such as VIVO Searchlight, a browser bookmarklet which uses text content of any webpage to search for relevant VIVO profiles, and the Inter-Institutional Collaboration Explorer, an application which allows visualization of collaborative institutional partners, among others. Institutions are free to participate in the national network by installing and using the application. The application provides linked data via RDF data making users a part of the semantic web! or any other application that provides linked data can be used. Users can also get involved with developing applications that provide enhanced search, new collaboration capabilities, grouping, finding and mapping scientists and their work.

Proper citation: VIVO (RRID:SCR_005246) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/fcpClassic/FcpTable.html

1200+ ''resting state'' functional MRI (R-fMRI) datasets independently collected at 33 sites and donated by the principal investigators for the purpose of providing the broader imaging community complete access to a large-scale functional imaging dataset. Age, sex and imaging center information are provided for each of the datasets. In accordance with HIPAA guidelines, all datasets are anonymous, with no protected health information included. We anticipate this data-sharing effort will equip researchers with a means of exploring and refining R-fMRI approaches, and facilitate the growing ethos of sharing and collaboration. Disclaimer: The ''1000 Functional Connectomes Project'' datasets are provided freely without assurance of quality or appropriateness for usage.

Proper citation: FCP Classic Data Sharing Samples (RRID:SCR_005362) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Rebholz-srv/ebimed/

A web application that combines Information Retrieval and Extraction from Medline. EBIMed finds Medline abstracts in the same way PubMed does. Then it goes a step beyond and analyses them to offer a complete overview on associations between UniProt protein/gene names, GO annotations, Drugs and Species. The results are shown in a table that displays all the associations and links to the sentences that support them and to the original abstracts. By selecting relevant sentences and highlighting the biomedical terminology EBIMed enhances your ability to acquire knowledge, relate facts, discover implications and, overall, have a good overview economizing the effort in reading.

Proper citation: EBIMed (RRID:SCR_005314) Copy   

•   Source: SciCrunch Registry

http://www.axa-research.org/

The core mission of the AXA Research Fund is to finance basic research contributing to understand and prevent risks. We support innovative and cutting-edge projects within three areas: environmental, life, and socio-economic risks. Only research institutions may submit applications. * Funding for research projects, postdoc and graduate fellowships, and long and short term projects * Encourages international applicants and research around the world Research projects funded by the Fund must fall within the scope of one of the themes identified by the AXA Scientific Board. The themes for 2011 are identified below: * Life risks ** Aging & Long-term care ** Biomedical risks ** Addictions and risky behaviors * Socio-economic risks ** Geopolitical risks ** Macroeconomic and financial systemic risks ** Individual and collective behaviors when facing uncertainties ** Large corporate risks * Environmental risks ** Climate change ** Natural hazards ** Human driven environmental changes

Proper citation: AXA Research Fund (RRID:SCR_005276) Copy   

•   Source: SciCrunch Registry