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@@ -24,16 +24,6 @@ Sounds cool but you know very little biology? So did many of us, when we got sta
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### Why Lisp?
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1. [The myth of the Lisp genius](https://www.johndcook.com/blog/2011/04/26/the-myth-of-the-lisp-genius/)
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2. [How the strengths of Lisp-family languages facilitate building complex and flexible bioinformatics applications](https://doi.org/10.1093/bib/bbw130)
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3. [Beating the Averages](http://www.paulgraham.com/avg.html)
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4. [Lisp Bot Wins Google AI Challenge](http://www.dataversity.net/lisp-bot-wins-google-ai-challenge-will-lisp-win-in-the-semantic-web-too/)
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5. [The Bipolar Lisp Programmer](http://web.archive.org/web/20150308085419/http://www.lambdassociates.org/blog/bipolar.htm)
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6. [Performance and efficiency](http://www.iaeng.org/IJCS/issues_v32/issue_4/IJCS_32_4_19.pdf)
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7. [Common Lisp](http://lisp-lang.org/)
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### Lisp quotes
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> "Lisp is worth learning for the profound enlightenment
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> experience you will have when you finally get it; that
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> experience will make you a better programmer for the
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> a fair share of 'aha' moments."
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> --Bohdan Khomtchouk, Postdoctoral Research Scholar at Stanford University
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### Still not convinced?
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1. [The myth of the Lisp genius](https://www.johndcook.com/blog/2011/04/26/the-myth-of-the-lisp-genius/)
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2. [How the strengths of Lisp-family languages facilitate building complex and flexible bioinformatics applications](https://doi.org/10.1093/bib/bbw130)
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3. [Beating the Averages](http://www.paulgraham.com/avg.html)
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4. [Lisp Bot Wins Google AI Challenge](http://www.dataversity.net/lisp-bot-wins-google-ai-challenge-will-lisp-win-in-the-semantic-web-too/)
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5. [The Bipolar Lisp Programmer](http://web.archive.org/web/20150308085419/http://www.lambdassociates.org/blog/bipolar.htm)
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6. [Performance and efficiency](http://www.iaeng.org/IJCS/issues_v32/issue_4/IJCS_32_4_19.pdf)
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7. [Common Lisp](http://lisp-lang.org/)
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### Recent News
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- Stanford University scientists use Common Lisp to begin organizing the world's biological information through natural language processing and machine learning algorithms: [Biochat](https://github.com/Bohdan-Khomtchouk/Biochat)

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