An Open-Source Sandbox for Increasing the Accessibility of Functional Programming to the Bioinformatics and Scientific Communities.

An Open-Source Sandbox for Increasing the Accessibility of Functional Programming to the Bioinformatics and Scientific Communities.
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一个开源沙箱,用于提高生物信息学和科学界函数式编程的可访问性。

DOI:
10.1109/itng.2012.21
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发表时间:
2012
期刊:
Proceedings of the ... International Conference on Information Technology: New Generations. International Conference on Information Technology: New Generations
影响因子:
--
通讯作者:
Gryk,MichaelR
Gryk,MichaelR
中科院分区:
--
文献类型:
--
作者:
Fenwick,Matthew;Sesanker,Colbert;Schiller,MartinR;Ellis,HeidiJc;Hinman,MLee;Vyas,Jay;Gryk,MichaelR

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科学家们一直面临着用代码表达复杂数学概念的需求。函数式语言(如LISP和Haskell)的复兴通常归功于它们以表达性和自然的习惯用法实现复杂数据操作和数学构造的能力。然而,函数计算在科学界的缓慢采用并不反映这些领域的适宜性。不幸的是,采用函数式编程技术的学习曲线比科学界中更传统的语言(如Python和Java)更陡峭,这部分是由于可用的学习资源相对稀少。为了填补这一空白,我们展示并提供了应用的,科学的大量的函数式编程的例子,我们提出了一个多语言的源代码库的软件集成和算法开发,它通常集中在机器学习,数据处理,生物信息学领域。我们鼓励有兴趣学习函数式编程基础知识的科学家采用、重用这些示例并从中学习。源代码可在以下网址获得:https://github.com/CONNJUR/CONNJUR-Sandbox(另见http://www.connjur.org)。
Scientists are continually faced with the need to express complex mathematical notions in code. The renaissance of functional languages such as LISP and Haskell is often credited to their ability to implement complex data operations and mathematical constructs in an expressive and natural idiom. The slow adoption of functional computing in the scientific community does not, however, reflect the congeniality of these fields. Unfortunately, the learning curve for adoption of functional programming techniques is steeper than that for more traditional languages in the scientific community, such as Python and Java, and this is partially due to the relative sparseness of available learning resources. To fill this gap, we demonstrate and provide applied, scientifically substantial examples of functional programming, We present a multi-language source-code repository for software integration and algorithm development, which generally focuses on the fields of machine learning, data processing, bioinformatics. We encourage scientists who are interested in learning the basics of functional programming to adopt, reuse, and learn from these examples. The source code is available at: https://github.com/CONNJUR/CONNJUR-Sandbox (see also http://www.connjur.org).
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