Literature DB >> 27896971

RABIX: AN OPEN-SOURCE WORKFLOW EXECUTOR SUPPORTING RECOMPUTABILITY AND INTEROPERABILITY OF WORKFLOW DESCRIPTIONS.

Gaurav Kaushik1, Sinisa Ivkovic, Janko Simonovic, Nebojsa Tijanic, Brandi Davis-Dusenbery, Deniz Kural.   

Abstract

As biomedical data has become increasingly easy to generate in large quantities, the methods used to analyze it have proliferated rapidly. Reproducible and reusable methods are required to learn from large volumes of data reliably. To address this issue, numerous groups have developed workflow specifications or execution engines, which provide a framework with which to perform a sequence of analyses. One such specification is the Common Workflow Language, an emerging standard which provides a robust and flexible framework for describing data analysis tools and workflows. In addition, reproducibility can be furthered by executors or workflow engines which interpret the specification and enable additional features, such as error logging, file organization, optim1izations to computation and job scheduling, and allow for easy computing on large volumes of data. To this end, we have developed the Rabix Executor, an open-source workflow engine for the purposes of improving reproducibility through reusability and interoperability of workflow descriptions.

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Year:  2017        PMID: 27896971      PMCID: PMC5166558          DOI: 10.1142/9789813207813_0016

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  8 in total

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3.  The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud.

Authors:  Katherine Wolstencroft; Robert Haines; Donal Fellows; Alan Williams; David Withers; Stuart Owen; Stian Soiland-Reyes; Ian Dunlop; Aleksandra Nenadic; Paul Fisher; Jiten Bhagat; Khalid Belhajjame; Finn Bacall; Alex Hardisty; Abraham Nieva de la Hidalga; Maria P Balcazar Vargas; Shoaib Sufi; Carole Goble
Journal:  Nucleic Acids Res       Date:  2013-05-02       Impact factor: 16.971

4.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences.

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Journal:  Genome Biol       Date:  2010-08-25       Impact factor: 13.583

5.  Ten simple rules for reproducible computational research.

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Journal:  PLoS Comput Biol       Date:  2013-10-24       Impact factor: 4.475

6.  Structuring research methods and data with the research object model: genomics workflows as a case study.

Authors:  Kristina M Hettne; Harish Dharuri; Jun Zhao; Katherine Wolstencroft; Khalid Belhajjame; Stian Soiland-Reyes; Eleni Mina; Mark Thompson; Don Cruickshank; Lourdes Verdes-Montenegro; Julian Garrido; David de Roure; Oscar Corcho; Graham Klyne; Reinout van Schouwen; Peter A C 't Hoen; Sean Bechhofer; Carole Goble; Marco Roos
Journal:  J Biomed Semantics       Date:  2014-09-18

Review 7.  A review of bioinformatic pipeline frameworks.

Authors:  Jeremy Leipzig
Journal:  Brief Bioinform       Date:  2017-05-01       Impact factor: 11.622

8.  A comprehensive assessment of somatic mutation detection in cancer using whole-genome sequencing.

Authors:  Tyler S Alioto; Ivo Buchhalter; Sophia Derdak; Barbara Hutter; Matthew D Eldridge; Eivind Hovig; Lawrence E Heisler; Timothy A Beck; Jared T Simpson; Laurie Tonon; Anne-Sophie Sertier; Ann-Marie Patch; Natalie Jäger; Philip Ginsbach; Ruben Drews; Nagarajan Paramasivam; Rolf Kabbe; Sasithorn Chotewutmontri; Nicolle Diessl; Christopher Previti; Sabine Schmidt; Benedikt Brors; Lars Feuerbach; Michael Heinold; Susanne Gröbner; Andrey Korshunov; Patrick S Tarpey; Adam P Butler; Jonathan Hinton; David Jones; Andrew Menzies; Keiran Raine; Rebecca Shepherd; Lucy Stebbings; Jon W Teague; Paolo Ribeca; Francesc Castro Giner; Sergi Beltran; Emanuele Raineri; Marc Dabad; Simon C Heath; Marta Gut; Robert E Denroche; Nicholas J Harding; Takafumi N Yamaguchi; Akihiro Fujimoto; Hidewaki Nakagawa; Víctor Quesada; Rafael Valdés-Mas; Sigve Nakken; Daniel Vodák; Lawrence Bower; Andrew G Lynch; Charlotte L Anderson; Nicola Waddell; John V Pearson; Sean M Grimmond; Myron Peto; Paul Spellman; Minghui He; Cyriac Kandoth; Semin Lee; John Zhang; Louis Létourneau; Singer Ma; Sahil Seth; David Torrents; Liu Xi; David A Wheeler; Carlos López-Otín; Elías Campo; Peter J Campbell; Paul C Boutros; Xose S Puente; Daniela S Gerhard; Stefan M Pfister; John D McPherson; Thomas J Hudson; Matthias Schlesner; Peter Lichter; Roland Eils; David T W Jones; Ivo G Gut
Journal:  Nat Commun       Date:  2015-12-09       Impact factor: 14.919

  8 in total
  15 in total

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Journal:  Bioinformatics       Date:  2019-11-01       Impact factor: 6.937

2.  Data analysis and modeling pipelines for controlled networked social science experiments.

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Journal:  PLoS One       Date:  2020-11-24       Impact factor: 3.240

3.  The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized-A New Paradigm in Large-Scale Computational Research.

Authors:  Jessica W Lau; Erik Lehnert; Anurag Sethi; Raunaq Malhotra; Gaurav Kaushik; Zeynep Onder; Nick Groves-Kirkby; Aleksandar Mihajlovic; Jack DiGiovanna; Mladen Srdic; Dragan Bajcic; Jelena Radenkovic; Vladimir Mladenovic; Damir Krstanovic; Vladan Arsenijevic; Djordje Klisic; Milan Mitrovic; Igor Bogicevic; Deniz Kural; Brandi Davis-Dusenbery
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

4.  CONTROL-CORE: A Framework for Simulation and Design of Closed-Loop Peripheral Neuromodulation Control Systems.

Authors:  Pradeeban Kathiravelu; Mark Arnold; Jake Fleischer; Yuyu Yao; Shubham Awasthi; Aviral Kumar Goel; Andrew Branen; Parisa Sarikhani; Gautam Kumar; Mayuresh V Kothare; Babak Mahmoudi
Journal:  IEEE Access       Date:  2022-03-22       Impact factor: 3.476

5.  uap: reproducible and robust HTS data analysis.

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Journal:  BMC Bioinformatics       Date:  2019-12-12       Impact factor: 3.169

6.  Building Containerized Workflows Using the BioDepot-Workflow-Builder.

Authors:  Ling-Hong Hung; Jiaming Hu; Trevor Meiss; Alyssa Ingersoll; Wes Lloyd; Daniel Kristiyanto; Yuguang Xiong; Eric Sobie; Ka Yee Yeung
Journal:  Cell Syst       Date:  2019-09-11       Impact factor: 10.304

7.  CloudNeo: a cloud pipeline for identifying patient-specific tumor neoantigens.

Authors:  Preeti Bais; Sandeep Namburi; Daniel M Gatti; Xinyu Zhang; Jeffrey H Chuang
Journal:  Bioinformatics       Date:  2017-10-01       Impact factor: 6.937

8.  SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines.

Authors:  Samuel Lampa; Martin Dahlö; Jonathan Alvarsson; Ola Spjuth
Journal:  Gigascience       Date:  2019-05-01       Impact factor: 6.524

9.  Common workflow language (CWL)-based software pipeline for de novo genome assembly from long- and short-read data.

Authors:  Pasi K Korhonen; Ross S Hall; Neil D Young; Robin B Gasser
Journal:  Gigascience       Date:  2019-04-01       Impact factor: 6.524

10.  Developing reproducible bioinformatics analysis workflows for heterogeneous computing environments to support African genomics.

Authors:  Shakuntala Baichoo; Yassine Souilmi; Sumir Panji; Gerrit Botha; Ayton Meintjes; Scott Hazelhurst; Hocine Bendou; Eugene de Beste; Phelelani T Mpangase; Oussema Souiai; Mustafa Alghali; Long Yi; Brian D O'Connor; Michael Crusoe; Don Armstrong; Shaun Aron; Fourie Joubert; Azza E Ahmed; Mamana Mbiyavanga; Peter van Heusden; Lerato E Magosi; Jennie Zermeno; Liudmila Sergeevna Mainzer; Faisal M Fadlelmola; C Victor Jongeneel; Nicola Mulder
Journal:  BMC Bioinformatics       Date:  2018-11-29       Impact factor: 3.169

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