Literature DB >> 30375502

Why Jupyter is data scientists' computational notebook of choice.

Jeffrey M Perkel.   

Abstract

Keywords:  Computational biology and bioinformatics; Computer science

Mesh：

Year:  2018        PMID： 30375502     DOI： 10.1038/d41586-018-07196-1

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  25 in total

1.  Ten computer codes that transformed science.

Authors:  Jeffrey M Perkel
Journal:  Nature       Date:  2021-01       Impact factor: 49.962

2.  micrIO: an open-source autosampler and fraction collector for automated microfluidic input-output.

Authors:  Scott A Longwell; Polly M Fordyce
Journal:  Lab Chip       Date:  2019-11-08       Impact factor: 6.799

3.  Integration of the Rosetta suite with the python software stack via reproducible packaging and core programming interfaces for distributed simulation.

Authors:  Alexander S Ford; Brian D Weitzner; Christopher D Bahl
Journal:  Protein Sci       Date:  2019-12-02       Impact factor: 6.725

4.  HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data.

Authors:  Sára Sáray; Christian A Rössert; Shailesh Appukuttan; Rosanna Migliore; Paola Vitale; Carmen A Lupascu; Luca L Bologna; Werner Van Geit; Armando Romani; Andrew P Davison; Eilif Muller; Tamás F Freund; Szabolcs Káli
Journal:  PLoS Comput Biol       Date:  2021-01-29       Impact factor: 4.475

5.  Microbench: automated metadata management for systems biology benchmarking and reproducibility in Python.

Authors:  Alexander L R Lubbock; Carlos F Lopez
Journal:  Bioinformatics       Date:  2022-10-14       Impact factor: 6.931

6.  Programmatic modeling for biological systems.

Authors:  Alexander L R Lubbock; Carlos F Lopez
Journal:  Curr Opin Syst Biol       Date:  2021-05-24

7.  Transcriptome annotation in the cloud: complexity, best practices, and cost.

Authors:  Roberto Vera Alvarez; Leonardo Mariño-Ramírez; David Landsman
Journal:  Gigascience       Date:  2021-01-29       Impact factor: 6.524

8.  PM4NGS, a project management framework for next-generation sequencing data analysis.

Authors:  Roberto Vera Alvarez; Lorinc Pongor; Leonardo Mariño-Ramírez; David Landsman
Journal:  Gigascience       Date:  2021-01-07       Impact factor: 6.524

9.  New Extensibility and Scripting Tools in the ImageJ Ecosystem.

Authors:  Niklas A Gahm; Curtis T Rueden; Edward L Evans; Gabriel Selzer; Mark C Hiner; Jenu V Chacko; Dasong Gao; Nathan M Sherer; Kevin W Eliceiri
Journal:  Curr Protoc       Date:  2021-08

10.  On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.

Authors:  Dennis Segebarth; Matthias Griebel; Christoph M Flath; Robert Blum; Nikolai Stein; Cora R von Collenberg; Corinna Martin; Dominik Fiedler; Lucas B Comeras; Anupam Sah; Victoria Schoeffler; Teresa Lüffe; Alexander Dürr; Rohini Gupta; Manju Sasi; Christina Lillesaar; Maren D Lange; Ramon O Tasan; Nicolas Singewald; Hans-Christian Pape
Journal:  Elife       Date:  2020-10-19       Impact factor: 8.140
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