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http://www.psidev.info/

Initiative to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. The main organizational unit is the work group, with a Gel Electrophoresis (GEL) work group, a Mass Spectrometry (MS) work group, a Molecular Interactions (MI) work group, a Protein Modifications (MOD) work group, a Proteomics Informatics (PI) work group, and a Sample Processing (SP) work group. The Gel Electrophoresis (GEL) work group aims to develop reporting requirements that supplement the Minimum Information About a Proteomics Experiment (MIAPE) parent document, describing the minimum information that should be reported about gel-based experimental techniques used in proteomics. The group will also develop data formats for capturing MIAPE-compliant data about gel electrophoresis and informatics performed on gel images. The Mass Spectrometry Standards Working Group defines community data formats and controlled vocabulary terms facilitating data exchange and archiving in the field of proteomics mass spectrometry. A past achievement is the mzData standard, which captures mass spectrometry output data. mzData's aim is to unite the large number of current formats (pkl's, dta's, mgf's, .....) into a single format. mzData has been released but is now deprecated in favor of mzML. The Molecular Interactions workgroup is concentrating on improving the annotation and representation of molecular interaction data wherever it is published, be this in journal articles, authors web-sites or public domain databases; and improving the accessibility of molecular interaction data to the user community. By using a common standard data can be downloaded from multiple sources and easily combined using a single parser. The protein modification workgroup focuses on developing a consensus nomenclature and provide an ontology reconciling in a hierarchical representation the complementary descriptions of residue modifications. The protein modification ontology (PSI-MOD) is available in OBO format or in OBO.xml. A spreadsheet containing the mapping of the descriptive labels used in various databases and search engines, the consensus list of proposed short name for protein modifications established by collaborative effort of mass spectrometry community, and the proposed rules and recommendations for this nomenclature are available. These short names are included in the ontology as synonyms of the corresponding terms. The Proteomics Informatics Standards Group (PSI-PI) goals are to provide a set of minimal reporting requirements which augment the MIAPE reporting guidelines with respect to analysis of data derived from proteomics experiments; to provide vendor-neutral and standard formats for representing results of analyzing and processing experimental data; to foster adoption of the format by highlighting efforts made by vendors and individuals that utilize the format in their products. The remit of the Sample Processing Working Group is to produce reporting guidelines, data exchange formats and controlled vocabulary covering all separation techniques not considered to be "classical" one- or two-dimensional gel electrophoresis (cf. the Gel WG home page), along with other kinds of sample handling and processing (for example, "tagging" proteins or peptides, splitting, combining and storing samples). Where possible we seek to develop our products in collaboration with all proteomics stakeholders and, where relevant, developers from other standards communities, most notably metabolomics. * Minimum reporting requirements: The evolving Minimum Information About a Proteomics Experiment (MIAPE) documents offer guidelines on how to adequately report a proteomics experiment. It is expected that these documents will be published, and that the requirements within will be enforced by journals, compliant repositories and funders (cf. MIAME). * XML formats for data exchange: Derived from the FuGE general object model, the formats developed by this workgroup are designed to function both as standalone files and as part of a "parent" FuGE-ML document. These formats will facilitate data exchange between researchers, and submission to repositories or journals. * Controlled vocabularies (CVs) and ontology: Lists of clearly defined terms are crucial for the construction of unambiguously worded data files. In addition to providing supporting CVs for the individual data capture formats as part of the integrated PSI CV, the Sample Processing WG will contribute terms to the Functional Genomics Ontology (FuGO).

Proper citation: HUPO Proteomics Standards Initiative (RRID:SCR_003158) Copy   

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http://splicq.sourceforge.net/

A Java software package which allows for the identification of splicing events and differentially expressed isoforms in next generation sequencing data.

Proper citation: SpliCQ (RRID:SCR_003266) Copy   

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http://www.geospiza.com/

Developer of enterprise-class software systems for workflow management of genetic analysis. Geospiza has established itself as the life science industry's top software developer for meeting the combined laboratory, data management and analytical needs of biotechnology and pharmaceutical companies, universities, researchers, contract core and diagnostic laboratories involved in genetic testing and manufacturing bio-therapeutics. Geospiza's products are designed and built by biologists, enabling researchers to focus on the science, not the software. *GeneSifter Analysis Edition: Access easy-to-use statistical, visualization and annotation tools for Microarray and Next Generation Sequencing data. *GeneSifter Lab Edition: Manage cross-platform core lab operations from a single interface out-of-the-box.

Proper citation: Geospiza (RRID:SCR_003264) Copy   

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http://sourceforge.net/projects/orfer/

An extended software package for high throughput PCR primer design for biological sequences. It reads the NCBI GenBank XML sequence format and extracts open reading frames for proteins. Sequences can be requested by GI or accession number.

Proper citation: ORFprimer (RRID:SCR_003269) Copy   

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http://sourceforge.net/projects/gemi/

Automated software tool to design polymerase chain reaction (PCR) primers. It accepts multiple aligned and long sequences with degenerated nucleotides. It can be used for quantitative/real-time PCR, conventional and Sanger sequencing. Gemi accepts DNA and RNA sequences with degenerate nucleotide (non-A/C/G/T bases). The programs are as the following: # The first program is to design PCR primers from multiple sequence alignment. # Program to convert ClustalW format (.aln), Phylip (.phy) and (.gde) formats to Fasta format. # Reverse and/or complement program is to find the reverse and complement counterpart of single or multiple sequences.

Proper citation: Gemi (RRID:SCR_003211) Copy   

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

Software package for quantitative DNA sequencing for chromosomal aberrations providing a robust, cost-effective WGS method for DNA copy number analysis. The genome is divided into non-overlapping fixed-sized bins, number of sequence reads in each counted, adjusted with a simultaneous two-dimensional loess correction for sequence mappability and GC content, and filtered to remove spurious regions in the genome. Downstream steps of segmentation and calling are also implemented via packages DNAcopy and CGHcall, respectively.

Proper citation: QDNAseq (RRID:SCR_003174) Copy   

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http://www.popgen.dk/software/index.php/NgsAdmix

A tool for finding admixture proportions from next generation sequencing (NGS) data that is based on genotype likelihoods. It is a multithreaded c/c++ program.

Proper citation: NGSadmix (RRID:SCR_003208) Copy   

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http://compgen.bscb.cornell.edu/phast/

A freely available software package for comparative and evolutionary genomics that consists of about half a dozen major programs, plus more than a dozen utilities for manipulating sequence alignments, phylogenetic trees, and genomic annotations. For the most part, PHAST focuses on two kinds of applications: the identification of novel functional elements, including protein-coding exons and evolutionarily conserved sequences; and statistical phylogenetic modeling, including estimation of model parameters, detection of signatures of selection, and reconstruction of ancestral sequences. It consists of over 60,000 lines of C code.

Proper citation: PHAST (RRID:SCR_003204) Copy   

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https://github.com/hangelwen/miR-PREFeR

An accurate, fast, and easy-to-use plant miRNA prediction software tool using small RNA-Seq data. It utilizes expression patterns of miRNA and follows the criteria for plant microRNA annotation to accurately predict plant miRNAs from one or more small RNA-Seq data samples of the same species.

Proper citation: miR-PREFeR (RRID:SCR_003353) Copy   

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http://www.pictar.org

An algorithm for the identification of microRNA targets. Details are provided (3' UTR alignments with predicted sites, links to various public databases etc) regarding: # microRNA target predictions in vertebrates (Krek et al, Nature Genetics 37:495-500 (2005)) # microRNA target predictions in seven Drosophila species (Grn et al, PLoS Comp. Biol. 1:e13 (2005)) # microRNA targets in three nematode species (Lall et al, Current Biology 16, 1-12 (2006)) # human microRNA targets that are not conserved but co-expressed (i.e. the microRNA and mRNA are expressed in the same tissue) (Chen and Rajewsky, Nat Genet 38, 1452-1456 (2006)) co-expressed targets

Proper citation: PicTar (RRID:SCR_003343) Copy   

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https://github.com/bgruening/galaxytools/tree/master/workflows/blockclust

Software for efficient clustering and classification of non-coding RNAs from short read RNA-seq profiles.

Proper citation: BlockClust (RRID:SCR_003347) Copy   

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

Software package for low-throughput real-time quantitative PCR data analysis. The package allows you to import easily qPCR data files. Thereafter, you can calculate amplification efficiencies, relative quantities and their standard errors, normalization factors based on the best reference genes choosen (using the SLqPCR package), and then the normalized relative quantities, the NRQs scaled to your control and their standard errors.

Proper citation: EasyqpcR (RRID:SCR_003406) Copy   

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http://nanostride.soe.ucsc.edu/

Web application that accepts the raw count data produced by the NanoString nCounter analysis system, normalizes it according to guidelines provided by NanoString Technologies, performs differential expression analysis on the normalized data, and provides a heatmap of the results from the differential expression analysis.

Proper citation: NanoStriDE (RRID:SCR_003407) Copy   

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https://planttfdb.gao-lab.org/

Comprehensive plant transcription factor database. Interface to allow users to search the database by IDs or free texts, to make sequence similarity search against TFs of all or individual species, and to download TF sequences for local analysis.PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors

Proper citation: PLANTTFDB (RRID:SCR_003362) Copy   

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http://geoss.sourceforge.net/

A complete software system used to store and analyze gene expression data.

Proper citation: GEOSS (RRID:SCR_003401) Copy   

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

Software package providing functions for the selection of optimal reference genes and the normalization of real-time quantitative PCR data.

Proper citation: NormqPCR (RRID:SCR_003388) Copy   

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http://www.gene-quantification.de/bestkeeper.html

Excel-based tool using pair-wise correlations for determination of stable housekeeping genes, differentially regulated target genes and sample integrity. It determines the best suited standards, out of ten candidates, and combines them into an index. The index can be compared with further ten target genes to decide, whether they are differentially expressed under an applied treatment. All data processing is based on crossing points.

Proper citation: BestKeeper (RRID:SCR_003380) Copy   

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http://sourceforge.net/projects/amplicon/

Software tool for designing PCR primers on aligned groups of DNA sequences. The most important application is the design of "group-specific" PCR primer sets that amplify a DNA region from a given taxonomic group but do not amplify orthologous regions from other taxonomic groups. It is written in Python 2.3 and Tkinter 8.4. The current script was created for Windows and an executable is available. Future versions of the script should be able to run on Linux and Mac

Proper citation: Amplicon (RRID:SCR_003294) Copy   

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http://www.xenbase.org/

Data collection for Xenopus laevis and Xenopus tropicalis biology and genomics.

Proper citation: Xenbase (RRID:SCR_003280) Copy   

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https://github.com/fhcrc/nestly

A Python package to facilitate running tools with nested combinations of parameters and inputs. It provides three components: a module to build nested directory structures corresponding to choices of parameters; the nestrun script to run a given command using each set of parameter choices; the nestagg script to aggregate results of the individual runs into a CSV file, as well as support for more complex aggregation. Also included is a module for easily specifying nested dependencies for the SCons build tool, enabling incremental builds.

Proper citation: Nestly (RRID:SCR_003472) Copy   

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