Academic literature on the topic 'Ready Freddy'
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Journal articles on the topic "Ready Freddy"
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Hensley, Matthew A. "“Getting freaky with the founders”." Social Studies Research and Practice 14, no. 1 (May 20, 2019): 28–39. http://dx.doi.org/10.1108/ssrp-07-2018-0029.
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Purpose The purpose of this paper is to share with social science educators a coherent framework for implementing Hamilton: An American Musical into their classrooms, while also supporting the wider objective of leveraging music to foster disciplinary literacy skills and culturally relevant practices. The framework is a construct that draws on author’s previous teaching experience and its purpose is to inform and support teachers’ practice. Design/methodology/approach The author first highlights literature focused on the effectiveness of using music in the social science classroom as a response to author’s own teaching experience using Hamilton: An American Musical, then hones in on the impact of hip-hop music specifically. Finally, the author unites Pellegrino’s (2013) models (close reading, inquiry, student discovery and creative development) to songs from Miranda’s Hamilton to provide pedagogical strategies and examples that are ready to be implemented in the Secondary US History Classroom. Findings Lin Manuel Miranda’s portrayal of Hamilton and his historical compatriots as ethnically diverse, combustible and provocative figures bring to life experiences that are unexpectedly and uniquely American, connecting with current generations, while remaining anchored in history (Mason, 2017). The success and relatability of Miranda’s Hamilton and this time-warped story of the founding fathers has led social studies teachers to explore ways to use the music, dialogue and messages in their classrooms. Originality/value While many lesson examples related to Lin Manuel Miranda’s Hamilton have proliferated online, there remains a lack of pedagogical coherence to help teachers extend this work as part of a larger framework of practice designed to support teaching and learning through music. The author strives to provide social science educators a strategic, adaptable and ready-to-use framework for implementing Miranda’s Hamilton: An American Musical into their classrooms.
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Greer, S. U., and H. P. Ji. "Structural variant analysis for linked-read sequencing data with gemtools." Bioinformatics 35, no. 21 (April 2, 2019): 4397–99. http://dx.doi.org/10.1093/bioinformatics/btz239.
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Abstract Summary Linked-read sequencing generates synthetic long reads which are useful for the detection and analysis of structural variants (SVs). The software associated with 10× Genomics linked-read sequencing, Long Ranger, generates the essential output files (BAM, VCF, SV BEDPE) necessary for downstream analyses. However, to perform downstream analyses requires the user to customize their own tools to handle the unique features of linked-read sequencing data. Here, we describe gemtools, a collection of tools for the downstream and in-depth analysis of SVs from linked-read data. Gemtools uses the barcoded aligned reads and the Megabase-scale phase blocks to determine haplotypes of SV breakpoints and delineate complex breakpoint configurations at the resolution of single DNA molecules. The gemtools package is a suite of tools that provides the user with the flexibility to perform basic functions on their linked-read sequencing output in order to address even more questions. Availability and implementation The gemtools package is freely available for download at: https://github.com/sgreer77/gemtools. Supplementary information Supplementary data are available at Bioinformatics online.
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Kloetgen, Andreas, Arndt Borkhardt, Jessica I. Hoell, and Alice C. McHardy. "The PARA-suite: PAR-CLIP specific sequence read simulation and processing." PeerJ 4 (October 27, 2016): e2619. http://dx.doi.org/10.7717/peerj.2619.
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BackgroundNext-generation sequencing technologies have profoundly impacted biology over recent years. Experimental protocols, such as photoactivatable ribonucleoside-enhanced cross-linking and immunoprecipitation (PAR-CLIP), which identifies protein–RNA interactions on a genome-wide scale, commonly employ deep sequencing. With PAR-CLIP, the incorporation of photoactivatable nucleosides into nascent transcripts leads to high rates of specific nucleotide conversions during reverse transcription. So far, the specific properties of PAR-CLIP-derived sequencing reads have not been assessed in depth.MethodsWe here compared PAR-CLIP sequencing reads to regular transcriptome sequencing reads (RNA-Seq) to identify distinctive properties that are relevant for reference-based read alignment of PAR-CLIP datasets. We developed a set of freely available tools for PAR-CLIP data analysis, called the PAR-CLIP analyzer suite (PARA-suite). The PARA-suite includes error model inference, PAR-CLIP read simulation based on PAR-CLIP specific properties, a full read alignment pipeline with a modified Burrows–Wheeler Aligner algorithm and CLIP read clustering for binding site detection.ResultsWe show that differences in the error profiles of PAR-CLIP reads relative to regular transcriptome sequencing reads (RNA-Seq) make a distinct processing advantageous. We examine the alignment accuracy of commonly applied read aligners on 10 simulated PAR-CLIP datasets using different parameter settings and identified the most accurate setup among those read aligners. We demonstrate the performance of the PARA-suite in conjunction with different binding site detection algorithms on several real PAR-CLIP and HITS-CLIP datasets. Our processing pipeline allowed the improvement of both alignment and binding site detection accuracy.AvailabilityThe PARA-suite toolkit and the PARA-suite aligner are available athttps://github.com/akloetgen/PARA-suiteandhttps://github.com/akloetgen/PARA-suite_aligner, respectively, under the GNU GPLv3 license.
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Kumar, Venkatesh, Thomas Vollbrecht, Mark Chernyshev, Sanjay Mohan, Brian Hanst, Nicholas Bavafa, Antonia Lorenzo, et al. "Long-read amplicon denoising." Nucleic Acids Research 47, no. 18 (August 16, 2019): e104-e104. http://dx.doi.org/10.1093/nar/gkz657.
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Abstract Long-read next-generation amplicon sequencing shows promise for studying complete genes or genomes from complex and diverse populations. Current long-read sequencing technologies have challenging error profiles, hindering data processing and incorporation into downstream analyses. Here we consider the problem of how to reconstruct, free of sequencing error, the true sequence variants and their associated frequencies from PacBio reads. Called ‘amplicon denoising’, this problem has been extensively studied for short-read sequencing technologies, but current solutions do not always successfully generalize to long reads with high indel error rates. We introduce two methods: one that runs nearly instantly and is very accurate for medium length reads and high template coverage, and another, slower method that is more robust when reads are very long or coverage is lower. On two Mock Virus Community datasets with ground truth, each sequenced on a different PacBio instrument, and on a number of simulated datasets, we compare our two approaches to each other and to existing algorithms. We outperform all tested methods in accuracy, with competitive run times even for our slower method, successfully discriminating templates that differ by a just single nucleotide. Julia implementations of Fast Amplicon Denoising (FAD) and Robust Amplicon Denoising (RAD), and a webserver interface, are freely available.
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Gao, Lei, Cong Wu, and Lin Liu. "AUSPP: A universal short-read pre-processing package." Journal of Bioinformatics and Computational Biology 17, no. 06 (December 2019): 1950037. http://dx.doi.org/10.1142/s0219720019500379.
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There are many short-read aligners that can map short reads to a reference genome/sequence, and most of them can directly accept a FASTQ file as the input query file. However, the raw data usually need to be pre-processed. Few software programs specialize in pre-processing raw data generated by a variety of next-generation sequencing (NGS) technologies. Here, we present AUSPP, a Perl script-based pipeline for pre-processing and automatic mapping of NGS short reads. This pipeline encompasses quality control, adaptor trimming, collapsing of reads, structural RNA removal, length selection, read mapping, and normalized wiggle file creation. It facilitates the processing from raw data to genome mapping and is therefore a powerful tool for the steps before meta-analysis. Most importantly, since AUSPP has default processing pipeline settings for many types of NGS data, most of the time, users will simply need to provide the raw data and genome. AUSPP is portable and easy to install, and the source codes are freely available at https://github.com/highlei/AUSPP .
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Chon, Alvin, and Xiaoqiu Huang. "SRAMM: Short Read Alignment Mapping Metrics." International Journal on Bioinformatics & Biosciences 11, no. 02 (June 30, 2021): 01–07. http://dx.doi.org/10.5121/ijbb.2021.11201.
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Short Read Alignment Mapping Metrics (SRAMM): is an efficient and versatile command line tool providing additional short read mapping metrics, filtering, and graphs. Short read aligners report MAPing Quality (MAPQ), but these methods generally are neither standardized nor well described in literature or software manuals. Additionally, third party mapping quality programs are typically computationally intensive or designed for specific applications. SRAMM efficiently generates multiple different concept-based mapping scores to provide for an informative post alignment examination and filtering process of aligned short reads for various downstream applications. SRAMM is compatible with Python 2.6+ and Python 3.6+ on all operating systems. It works with any short read aligner that generates SAM/BAM/CRAM file outputs and reports 'AS' tags. It is freely available under the MIT license at http://github.com/achon/sramm.
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Payne, Alexander, Nadine Holmes, Vardhman Rakyan, and Matthew Loose. "BulkVis: a graphical viewer for Oxford nanopore bulk FAST5 files." Bioinformatics 35, no. 13 (November 20, 2018): 2193–98. http://dx.doi.org/10.1093/bioinformatics/bty841.
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Abstract Motivation The Oxford Nanopore Technologies (ONT) MinION is used for sequencing a wide variety of sample types with diverse methods of sample extraction. Nanopore sequencers output FAST5 files containing signal data subsequently base called to FASTQ format. Optionally, ONT devices can collect data from all sequencing channels simultaneously in a bulk FAST5 file enabling inspection of signal in any channel at any point. We sought to visualize this signal to inspect challenging or difficult to sequence samples. Results The BulkVis tool can load a bulk FAST5 file and overlays MinKNOW (the software that controls ONT sequencers) classifications on the signal trace and can show mappings to a reference. Users can navigate to a channel and time or, given a FASTQ header from a read, jump to its specific position. BulkVis can export regions as Nanopore base caller compatible reads. Using BulkVis, we find long reads can be incorrectly divided by MinKNOW resulting in single DNA molecules being split into two or more reads. The longest seen to date is 2 272 580 bases in length and reported in eleven consecutive reads. We provide helper scripts that identify and reconstruct split reads given a sequencing summary file and alignment to a reference. We note that incorrect read splitting appears to vary according to input sample type and is more common in ’ultra-long’ read preparations. Availability and implementation The software is available freely under an MIT license at https://github.com/LooseLab/bulkvis. Supplementary information Supplementary data are available at Bioinformatics online.
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Wickramarachchi, Anuradha, Vijini Mallawaarachchi, Vaibhav Rajan, and Yu Lin. "MetaBCC-LR: metagenomics binning by coverage and composition for long reads." Bioinformatics 36, Supplement_1 (July 1, 2020): i3—i11. http://dx.doi.org/10.1093/bioinformatics/btaa441.
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Abstract Motivation Metagenomics studies have provided key insights into the composition and structure of microbial communities found in different environments. Among the techniques used to analyse metagenomic data, binning is considered a crucial step to characterize the different species of micro-organisms present. The use of short-read data in most binning tools poses several limitations, such as insufficient species-specific signal, and the emergence of long-read sequencing technologies offers us opportunities to surmount them. However, most current metagenomic binning tools have been developed for short reads. The few tools that can process long reads either do not scale with increasing input size or require a database with reference genomes that are often unknown. In this article, we present MetaBCC-LR, a scalable reference-free binning method which clusters long reads directly based on their k-mer coverage histograms and oligonucleotide composition. Results We evaluate MetaBCC-LR on multiple simulated and real metagenomic long-read datasets with varying coverages and error rates. Our experiments demonstrate that MetaBCC-LR substantially outperforms state-of-the-art reference-free binning tools, achieving ∼13% improvement in F1-score and ∼30% improvement in ARI compared to the best previous tools. Moreover, we show that using MetaBCC-LR before long-read assembly helps to enhance the assembly quality while significantly reducing the assembly cost in terms of time and memory usage. The efficiency and accuracy of MetaBCC-LR pave the way for more effective long-read-based metagenomics analyses to support a wide range of applications. Availability and implementation The source code is freely available at: https://github.com/anuradhawick/MetaBCC-LR. Supplementary information Supplementary data are available at Bioinformatics online.
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Yanes, Luis, Gonzalo Garcia Accinelli, Jonathan Wright, Ben J. Ward, and Bernardo J. Clavijo. "A Sequence Distance Graph framework for genome assembly and analysis." F1000Research 8 (August 23, 2019): 1490. http://dx.doi.org/10.12688/f1000research.20233.1.
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The Sequence Distance Graph (SDG) framework works with genome assembly graphs and raw data from paired, linked and long reads. It includes a simple deBruijn graph module, and can import graphs using the graphical fragment assembly (GFA) format. It also maps raw reads onto graphs, and provides a Python application programming interface (API) to navigate the graph, access the mapped and raw data and perform interactive or scripted analyses. Its complete workspace can be dumped to and loaded from disk, decoupling mapping from analysis and supporting multi-stage pipelines. We present the design and implementation of the framework, and example analyses scaffolding a short read graph with long reads, and navigating paths in a heterozygous graph for a simulated parent-offspring trio dataset. SDG is freely available under the MIT license at https://github.com/bioinfologics/sdg
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Ankenbrand, Markus J., Sonja Hohlfeld, Thomas Hackl, and Frank Förster. "AliTV—interactive visualization of whole genome comparisons." PeerJ Computer Science 3 (June 12, 2017): e116. http://dx.doi.org/10.7717/peerj-cs.116.
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Whole genome alignments and comparative analysis are key methods in the quest of unraveling the dynamics of genome evolution. Interactive visualization and exploration of the generated alignments, annotations, and phylogenetic data are important steps in the interpretation of the initial results. Limitations of existing software inspired us to develop our new tool AliTV, which provides interactive visualization of whole genome alignments. AliTV reads multiple whole genome alignments or automatically generates alignments from the provided data. Optional feature annotations and phylo- genetic information are supported. The user-friendly, web-browser based and highly customizable interface allows rapid exploration and manipulation of the visualized data as well as the export of publication-ready high-quality figures. AliTV is freely available at https://github.com/AliTVTeam/AliTV.
Dissertations / Theses on the topic "Ready Freddy"
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Lauf, Kyle Radford. "The Incredible Journey of Freddy Reddy." Thesis, 2006. http://hdl.handle.net/10539/1763.
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Student Number : 0318263P -
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Faculty of HumanitiesThis is an historical documentary about an individual’s remarkable journey, one which starts in Durban in 1957 and ends with the protagonist’s arrival in London later the same year before he would subsequently move to Oslo in 1961. The documentary is intended primarily for a South African television audience. As such, it is a history to be apprehended visually rather than in writing, and to a large and heterogeneous, though primarily South African audience. The documentary is actually about two journeys: the physical overland African passage to Europe with its various episodes, and the journey of an ambitious young adult from a humble and disadvantaged background with only a primary school education. It culminates with him gaining acceptance for study of medicine at a Norwegian university, where he would eventually qualify as a doctor and later as a psychiatrist. Though set against the backdrop of the emerging political opposition to apartheid, the documentary is a somewhat depoliticised personal history – the biographical narrative of an old man who accomplished something in his youth which altered his whole life. It is not primarily a political history, nor is it a narrative about the experience of exile. The documentary attempts to locate a historical and spatial context from where the protagonist emerged, but does not attempt to portray the history of South African Indians as a racial or cultural group, per se.
Books on the topic "Ready Freddy"
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Caterpillars on the Move! Level 2: Scholastic Reader 250-750 Words. New York: Scholastic Inc., 2010.
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Bouveresse, Jacques. Wittgenstein reads Freud: Myth of the unconscious. Princeton, N.J: Princeton University Press, 1995.
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Wittgenstein reads Freud: The myth of the unconscious. Princeton, N.J: Princeton University Press, 1995.
Find full textBook chapters on the topic "Ready Freddy"
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Vleminck, Jens De. "Freud reads Krafft-Ebing." In Deconstructing Normativity?, 64–86. Abingdon, UK; New York: Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315312255-6.
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Wu, Wei, Jiwen Song, and Yanfang Xu. "123langlang: Help People with Dyslexia to Read Freely." In Social Entrepreneurship, 217–37. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9881-4_10.
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Descombes, Vincent. "Foreword." In Wittgenstein Reads Freud: The Myth of the Unconscious, vii—xvi. Princeton: Princeton University Press, 2013. http://dx.doi.org/10.1515/9781400821594.vii.
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Farmer, Victoria R. "“Read freely, my dear”." In Shakespeare’s Hamlet in an Era of Textual Exhaustion, 170–83. Routledge, 2017. http://dx.doi.org/10.4324/9781315265537-11.
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Braae, Nick. "Freddie Mercury." In Rock and Rhapsodies, 107–38. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197526736.003.0006.
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This chapter analyses and interprets the singing of Freddie Mercury. It is argued that the singer utilised four predominant voice types—powerful, gritty, sincere, exaggerated—which were defined by combinations of vocal techniques. These voice types often aligned with stylistic contexts but were also utilised to emphasise the structural dynamics of songs, such as moving from a lighter tone (e.g. sincere) to a powerful tone at the onset of a pre-chorus. Furthermore, Mercury’s deployment of these voice types in incongruous stylistic contexts (e.g. a breathy tone in a hard rock song), along with the ambiguity as to whether he possessed a ‘true’ voice, may be read as queer vocal strategies that challenge heteronormative conventions of male rock singing. It is argued that his vocal aesthetic was influenced by Liza Minnelli and Marilyn Monroe—theatrical voices—which underscores his ability to present a distinct performance identity.
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"Chapter I. Wittgenstein: Disciple of Freud?" In Wittgenstein Reads Freud: The Myth of the Unconscious, 1–21. Princeton: Princeton University Press, 2013. http://dx.doi.org/10.1515/9781400821594.1.
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Melliar-Smith, P., and L. E. Moser. "Mobile Multimedia for Commerce." In Multimedia Technologies, 1326–33. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-953-3.ch094.
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The ready availability of mobile multimedia computing and communication devices is driving their use in commercial transactions. Mobile devices are lightweight and wireless so users can carry them and move about freely. Such devices include cell phones, PDAs and PCs equipped with cellular modems.
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"“Read More Freud”: Identity, Patriarchy, and (Lacanian) Psychoanalysis." In Angela Carter: Surrealist, Psychologist, Moral Pornographer, 81–103. Farnham, Surrey, England; Burlington, VT: Ashgate, [2016]: Routledge, 2016. http://dx.doi.org/10.4324/9781315567075-4.
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Løland, Ole Jakob. "Paul as Predecessor to Psychoanalysis." In Pauline Ugliness, 100–139. Fordham University Press, 2020. http://dx.doi.org/10.5422/fordham/9780823286553.003.0005.
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Jacob Taubes is a Jewish rabbi who proclaims to have discerned the fundamentally Jewish aspects of Paul’s thought. In that way Taubes reads against the whole tradition that sees Paul as the first Christian who definitely broke with Judaism. Nonetheless, Taubes deconstructs this Christian image of Paul partly through a comparison of Paul and Sigmund Freud that also relies significantly on earlier Christian layers of this reception of Paul. Moreover, Taubes claims that Paul is a predecessor of Freud, leading Taubes to read Paul as an introspective Jewish apostle, primarily based on Romans. This unique interpretative strategy with regard to Paul is made by the Jewish rabbi within a post-Holocaust world where biblical scholars have attempted to liberate Paul from Protestant readings of him as the introspective figure par excellance. Taubes, however, establishes Paul’s Jewishness by other means and comes close to considering Freudian psychoanalysis as a Pauline science. These idiosyncratic readings of Paul results in an intriguing deconstruction of what is “Jewish” and what is “Christian,” categories that are destabilized by Taubes’s provoking interpretations of Paul.
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"Notes." In Wittgenstein Reads Freud: The Myth of the Unconscious, 127–32. Princeton: Princeton University Press, 2013. http://dx.doi.org/10.1515/9781400821594.127.
Full textConference papers on the topic "Ready Freddy"
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Fred Read, J. "Keynote Speech: Prof. J. Fred Read (Virginia Tech, USA)." In Fourth Arabian Plate Geology Workshop. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20142772.
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Kneller, Geoffrey R. "A Departmental Open Source Pipeline GIS." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10098.
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Geographic Information System (GIS) software has evolved to the point where it is extremely valuable to the planning, construction and operation of pipelines across a range of industries. Recently, GIS software of high quality has become freely available for use and modification under open source licensing schemes. This paper evaluates the utility of a geographic information system prepared using open source software for shared departmental use. Analysis includes areas such as functionality of the software, setup time, and total cost of ownership. The departmental focus is at a level concerned with pipeline planning and cost estimating. The full GIS package used for the analysis consists of a database, spatial data management software, and a web server providing web-based access to geomatic data suitable for a pipeline construction department. The utility of application programming interfaces provided through the GIS with open source software development tools is analysed in the form of a what-if economic comparison tool for pipeline route selection. The ability of the GIS to integrate data from other departmental systems is also examined. Final conclusions serve to aid pipeline GIS teams in determining if open source solutions are ready for widespread use.
Reports on the topic "Ready Freddy"
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Paynter, Robin A., Celia Fiordalisi, Elizabeth Stoeger, Eileen Erinoff, Robin Featherstone, Christiane Voisin, and Gaelen P. Adam. A Prospective Comparison of Evidence Synthesis Search Strategies Developed With and Without Text-Mining Tools. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepcmethodsprospectivecomparison.
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Background: In an era of explosive growth in biomedical evidence, improving systematic review (SR) search processes is increasingly critical. Text-mining tools (TMTs) are a potentially powerful resource to improve and streamline search strategy development. Two types of TMTs are especially of interest to searchers: word frequency (useful for identifying most used keyword terms, e.g., PubReminer) and clustering (visualizing common themes, e.g., Carrot2). Objectives: The objectives of this study were to compare the benefits and trade-offs of searches with and without the use of TMTs for evidence synthesis products in real world settings. Specific questions included: (1) Do TMTs decrease the time spent developing search strategies? (2) How do TMTs affect the sensitivity and yield of searches? (3) Do TMTs identify groups of records that can be safely excluded in the search evaluation step? (4) Does the complexity of a systematic review topic affect TMT performance? In addition to quantitative data, we collected librarians' comments on their experiences using TMTs to explore when and how these new tools may be useful in systematic review search¬¬ creation. Methods: In this prospective comparative study, we included seven SR projects, and classified them into simple or complex topics. The project librarian used conventional “usual practice” (UP) methods to create the MEDLINE search strategy, while a paired TMT librarian simultaneously and independently created a search strategy using a variety of TMTs. TMT librarians could choose one or more freely available TMTs per category from a pre-selected list in each of three categories: (1) keyword/phrase tools: AntConc, PubReMiner; (2) subject term tools: MeSH on Demand, PubReMiner, Yale MeSH Analyzer; and (3) strategy evaluation tools: Carrot2, VOSviewer. We collected results from both MEDLINE searches (with and without TMTs), coded every citation’s origin (UP or TMT respectively), deduplicated them, and then sent the citation library to the review team for screening. When the draft report was submitted, we used the final list of included citations to calculate the sensitivity, precision, and number-needed-to-read for each search (with and without TMTs). Separately, we tracked the time spent on various aspects of search creation by each librarian. Simple and complex topics were analyzed separately to provide insight into whether TMTs could be more useful for one type of topic or another. Results: Across all reviews, UP searches seemed to perform better than TMT, but because of the small sample size, none of these differences was statistically significant. UP searches were slightly more sensitive (92% [95% confidence intervals (CI) 85–99%]) than TMT searches (84.9% [95% CI 74.4–95.4%]). The mean number-needed-to-read was 83 (SD 34) for UP and 90 (SD 68) for TMT. Keyword and subject term development using TMTs generally took less time than those developed using UP alone. The average total time was 12 hours (SD 8) to create a complete search strategy by UP librarians, and 5 hours (SD 2) for the TMT librarians. TMTs neither affected search evaluation time nor improved identification of exclusion concepts (irrelevant records) that can be safely removed from the search set. Conclusion: Across all reviews but one, TMT searches were less sensitive than UP searches. For simple SR topics (i.e., single indication–single drug), TMT searches were slightly less sensitive, but reduced time spent in search design. For complex SR topics (e.g., multicomponent interventions), TMT searches were less sensitive than UP searches; nevertheless, in complex reviews, they identified unique eligible citations not found by the UP searches. TMT searches also reduced time spent in search strategy development. For all evidence synthesis types, TMT searches may be more efficient in reviews where comprehensiveness is not paramount, or as an adjunct to UP for evidence syntheses, because they can identify unique includable citations. If TMTs were easier to learn and use, their utility would be increased.