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The anatomy of successful computational biology software
0 references·6 citing·13 second hop
The anatomy of successful computational biology software (2013)The anatomy of successful computational b…Sustained software development, not number of citations or journal choice, is indicative of accurate bioinformatic software (2022)Sustained software developmen…Challenges and recommendations to improve installability and archival stability of omics computational tools (2018)Challenges and recommendation…A Padawan Programmer’s Guide to Developing Software Libraries (2017)A Padawan Programmer’s Guide …The Process of Analyzing Data is the Emergent Feature of Data Science (2016)The Process of Analyzing Data…Sustained software development, not number of citations or journal choice, is indicative of accurate bioinformatic software (2016)Sustained software developmen…A meta-analysis of bioinformatics software benchmarks reveals that publication-bias unduly influences software accuracy (2016)A meta-analysis of bioinforma…Bioconductor: open software development for computational biology and bioinformatics (2004)Defining Data Science by a Data-Driven Quantification of the Community (2018)The Matthew effect in science. The reward and communication systems of science are considered. (1968)An index to quantify an individual's scientific research output (2005)Why Most Published Research Findings Are False (2005)Design Patterns: Elements of Reusable Object-Oriented Software (1994)Ten Simple Rules for the Open Development of Scientific Software (2012)Best Practices for Scientific Computing (2014)Big Data: Astronomical or Genomical? (2015)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)GitHub Statistics as a Measure of the Impact of Open-Source Bioinformatics Software (2018)The Matthew Effect in Science (1968)How to make big data accessible to plant biologists and beyond: Ten years of lessons from TBtools (2026)
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  • 2016The Process of Analyzing Data is the Emergent Feature of Data Science27 cited
  • 2022Sustained software development, not number of citations or journal choice, is indicative of accurate bioinformatic software22 cited
  • 2018Challenges and recommendations to improve installability and archival stability of omics computational tools18 cited
  • 2016Sustained software development, not number of citations or journal choice, is indicative of accurate bioinformatic software16 cited
  • 2016A meta-analysis of bioinformatics software benchmarks reveals that publication-bias unduly influences software accuracy14 cited
  • 2017A Padawan Programmer’s Guide to Developing Software Libraries12 cited

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