Bioconda: sustainable and comprehensive software distribution for the life sciences - Nature Methods
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AAAI 2019 Highlights: Dialogue, reproducibility, and more
AAAI 2019 Highlights: Dialogue, reproducibility, and more This post discusses highlights of AAAI 2019. It covers dialogue, reproducibility, question answering, the Oxford style debate, invited talks, and a diverse set of research papers. This post discusses highlights of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). I attended AAAI 2019 in Honolulu, Hawaii last week. Overa
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2018 10/2 誤å—ä¿®æ£ 2018 11/4 追記 2019 6/2 ãƒªãƒ³ã‚¯è¿½åŠ 2020 4/7 è£œè¶³èª¬æ˜Žè¿½åŠ 2020 11/4 ãƒ„ã‚¤ãƒ¼ãƒˆè¿½åŠ 2021 6/13 ã‚³ãƒžãƒ³ãƒ‰è¿½åŠ ãƒã‚¤ã‚ªã‚¤ãƒ³ãƒ•ã‚©ãƒžãƒ†ã‚£ã‚¯ã‚¹ã¯ã€æ–°ã—ã„アルゴリズムã®é–‹ç™ºã€è¤‡é›‘ãªãƒ‘イプラインã¸ã®æ§˜ã€…ãªãƒ„ールã®æŽ¥ç¶šï¼ˆPerez-Riverol et alã€2014）ã€ãれらã®è“„ç©ã¨æ™®åŠã«ã‚ˆã‚Šã€ã‚·ã‚¹ãƒ†ãƒ 生物å¦ã®æ©Ÿèƒ½ã¨æŒ¯ã‚‹èˆžã„ã®ç†è§£ã¸ã®é‡è¦ãªè²¢çŒ®ã‚’ã—ã¦ã„る。ã“れらã®é–‹ç™ºã¯ã€å˜ä¸€ã®ãƒ„ールã¨å€‹åˆ¥ãƒ„ールã‹ã‚‰OpenMS（Röstet alã€2016）ã€Taverna（Wolstencroft et alã€2013）ã€Galaxy（Afgan et alã€2016）ãªã©ã®è¤‡é›‘ã‹ã¤çµ±åˆã•ã‚ŒãŸãƒ¯ãƒ¼ã‚¯ãƒ•ãƒãƒ¼ã‚·ã‚¹ãƒ†ãƒ ã«ç§»è¡Œã—ã¦ãã¦ã„ã‚‹ãŒã€ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢é–‹ç™ºè€…ã‚„ãƒã‚¤ã‚ªã‚¤ãƒ³ãƒ•ã‚©ãƒžãƒ†ã‚£ã‚¯ã‚¹ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã«ã¨ã£ã¦ã®ä¸»ãªï¼’ã¤ã®èª²é¡Œã¯ã€ï¼ˆi）ソフトウェアãŒåˆ©ç”¨
Reproducible Data Dependencies for Python [Guest Post]
This article is the first in a series of guest blog posts about open source projects in the Jupyter ecosystem and the problems they attempt to solve. If you would like to submit a guest post to highlight a specific tool or project, please get in touch with us. Jupyter Notebooks go a long way towards making computations reproducible and sharable. Nevertheless, for many Jupyter users, it remains a c
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2018 å¹´ 5 月 28 日追記: ヒューマンインタフェースå¦ä¼šã®ä¼šèªŒ Vol.20 No.1 ã«ãƒ’ãƒ¥ãƒ¼ãƒžãƒ³ã‚¤ãƒ³ã‚¿ãƒ•ã‚§ãƒ¼ã‚¹ç ”ç©¶ã«ãŠã‘ã‚‹å†ç¾æ€§å‘上ã«å‘ã‘ãŸå–り組ã¿ã¨é¡Œã—ãŸå¯„稿ãŒæŽ²è¼‰ã•ã‚Œã¾ã—ãŸã€‚本記事ã¨åˆã‚ã›ã¦ã©ã†ãžã€‚ 昨年 IPSJ-ONE ã«ç™»å£‡ã—ãŸéš›ã®è¨˜äº‹ã€Œæƒ…å ±å‡¦ç†ãŒç§‘å¦ã‚’æ›´æ–°ã™ã‚‹ã€ã§ã¯ã€ŒScience as a Serviceã€ã¨ã„ã†ã‚³ãƒ³ã‚»ãƒ—トを解説ã—ã€ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ç’°å¢ƒæŠ€è¡“を伸ã°ã—ã¦ã„ã£ãŸå…ˆã«ã€åŠ¹çŽ‡çš„ã§å†ç¾æ€§ã®æ‹…ä¿ã•ã‚ŒãŸç§‘å¦ç ”究ãŒã‚ã‚‹ã¨ã„ã†æ—¨ã‚’è°è«–ã—ã¾ã—ãŸã€‚ ã“ã†ã—ãŸæµã‚Œã«ã¤ã„ã¦ã¯ã‚‚ã¯ã‚„æ¢ã‚られるもã®ã§ãªãã€å®Ÿéš›ã«ã„ã‚ã„ã‚ãªäº‹ä¾‹ã‚’見èžãã™ã‚‹ã‚ˆã†ã«ãªã£ã¦ãã¾ã—ãŸã€‚ã“ã“ã§ã„ã£ãŸã‚“ã€è‡ªåˆ†ã‹ã‚‰è¦‹ãˆã¦ã„ã‚‹ç¾çŠ¶ã‚’ã¾ã¨ã‚ã¦ãŠã“ã†ã¨æ€ã„ã¾ã™ã€‚ä»–ã«ã‚‚äº‹ä¾‹ã‚„ç ”ç©¶ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã‚’ã”å˜çŸ¥ã®æ–¹ãŒã„らã£ã—ゃã„ã¾ã—ãŸã‚‰ã€ãœã²ãŠçŸ¥ã‚‰ã›ãã ã•ã„。 å†ç¾ã§ããªã„ï¼ ä»¥å‰ã®è¨˜äº‹ã§å¼•ã„ãŸã®ã¯2016 å¹´åˆé ã®ã€Œç”Ÿç‰©åŒ»ç§‘å¦è«–
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Reproducibility: A cautionary tale from data journalism
Revolutions Milestones in AI, Machine Learning, Data Science, and visualization with R and Python since 2008 Timo Grossenbacher, data journalist with Swiss Radio and TV in Zurich, had a bit of a surprise when he attempted to recreate the results of one of the R Markdown scripts published by SRF Data to accompany their data journalism story about vested interests of Swiss members of parliament. Upo
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GitHub - ToniWestbrook/repeatfs: RepeatFS
The Role of Containers in Reproducibility
Anaconda | Conda: Best Practices, Tips, and Tricks
Using interactive digital notebooks for bioscience and informatics education
Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks
PiGx: reproducible genomics analysis pipelines with GNU Guix
Scientific Data Analysis Pipelines and Reproducibility
GitHub - ypriverol/containers-rules-manuscript: Recommendations to contenarized your bioinformatics software
useR! 2017
Reproducible Science: Cancer Researchers Embrace Containers in the Cloud
Tools and techniques for computational reproducibility - GigaScience
AVOCADO: Visualization of Workflow-Derived Data Provenance for Reproducible Biomedical Research
Reproducible Research: Many Dimensions and Shared Responsibilities
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