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Scalability and Validation of Big Data Bioinformatics Software
4 references·2 citing·25 second hop
Scalability and Validation of Big Data Bioinformatics Software (2017)Scalability and Validation of Big Data Bi…Reproducibility of computational workflows is automated using continuous analysis (2017)Reproducibility of computatio…The big challenges of big data (2013)The big challenges of big dataA vision for data science (2013)A vision for data scienceCloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing (2011)CloVR: A virtual machine for …Bioinformatics software development: Principles and future directions (2024)Bioinformatics software devel…Improving bioinformatics software quality through incorporation of software engineering practices (2022)Improving bioinformatics soft…Taverna: a tool for building and running workflows of services (2006)Computational solutions to large-scale data management and analysis (2010)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Parallelization in Scientific Workflow Management Systems (2013)Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking (2014)Nephele: a cloud platform for simplified, standardized and reproducible microbiome data analysis (2017)Reproducible Research in Computational Science (2011)An introduction to Docker for reproducible research (2015)1,500 scientists lift the lid on reproducibility (2016)Challenges and recommendations to improve the installability and archival stability of omics computational tools (2019)The Kipoi repository accelerates community exchange and reuse of predictive models for genomics (2019)The five pillars of computational reproducibility: bioinformatics and beyond (2023)Bioconductor: open software development for computational biology and bioinformatics (2004)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)Nextflow enables reproducible computational workflows (2017)Steering veridical large language model analyses by correcting and enriching generated database queries: first steps toward ChatGPT bioinformatics (2024)BioMart: driving a paradigm change in biological data management (2011)Snakemake—a scalable bioinformatics workflow engine (2018)How to make big data accessible to plant biologists and beyond: Ten years of lessons from TBtools (2026)Environmental Data Science (2018)Eight grand challenges in socio-environmental systems modeling (2019)ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021)Visualizing and interacting with large-volume biodiversity data using client–server web-mapping applications: The design and implementation of antmaps.org (2016)Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics (2017)From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey (2019)
this work references cited by second hop

References

  • 2013The big challenges of big data1,232 cited
  • 2011CloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing282 cited
  • 2017Reproducibility of computational workflows is automated using continuous analysis151 cited
  • 2013A vision for data science137 cited

Cited by

  • 2022Improving bioinformatics software quality through incorporation of software engineering practices17 cited
  • 2024Bioinformatics software development: Principles and future directions17 cited

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