FRED 2: an immunoinformatics framework for Python']Python

被引：26

作者：

Schubert, Benjamin ^{[1
,2
]}

Walzer, Mathias ^{[1
,2
]}

Brachvogel, Hans-Philipp ^{[1
]}

Szolek, Andras ^{[1
,2
]}

Mohr, Christopher ^{[1
,2
]}

Kohlbacher, Oliver ^{[1
,2
,3
,4
,5
]}

机构：

[1] Univ Tubingen, Ctr Bioinformat, D-72076 Tubingen, Germany

[2] Dept Comp Sci Appl Bioinformat, D-72076 Tubingen, Germany

[3] Quantitat Biol Ctr, D-72076 Tubingen, Germany

[4] Univ Tubingen, Fac Med, D-72076 Tubingen, Germany

[5] Max Planck Inst Dev Biol, Biomol Interact, D-72076 Tubingen, Germany

来源：

BIOINFORMATICS | 2016年 / 32卷 / 13期

基金：

欧盟地平线“2020”;

关键词：

PEPTIDES; VACCINES;

D O I：

10.1093/bioinformatics/btw113

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

A Summary: Immunoinformatics approaches are widely used in a variety of applications from basic immunological to applied biomedical research. Complex data integration is inevitable in immunological research and usually requires comprehensive pipelines including multiple tools and data sources. Non-standard input and output formats of immunoinformatics tools make the development of such applications difficult. Here we present FRED 2, an open-source immunoinformatics framework offering easy and unified access to methods for epitope prediction and other immunoinformatics applications. FRED 2 is implemented in Python and designed to be extendable and flexible to allow rapid prototyping of complex applications.

引用

页码：2044 / 2046

页数：3

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