github.com/biogo/biogo@v1.0.4/paper/paper.md (about)

     1  ---
     2  title: 'bíogo: a simple high-performance bioinformatics toolkit for the Go language'
     3  tags:
     4    - bioinformatics
     5    - toolkit
     6    - golang
     7  authors:
     8   - name: R Daniel Kortschak
     9     orcid: 0000-0001-8295-2301
    10     affiliation: 1
    11   - name: Josh Bleecher Snyder
    12     orcid: 0000-0001-8327-7643
    13   - name: Manolis Maragkakis
    14     orcid: 0000-0002-3158-1763
    15     affiliation: 2
    16   - name: David L Adelson
    17     orcid: 0000-0003-2404-5636
    18     affiliation: 1
    19  affiliations:
    20   - name: School of Biological Sciences, The University of Adelaide
    21     index: 1
    22   - name: Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania
    23     index: 2
    24  date: 6 January 2017
    25  bibliography: paper.bib
    26  ---
    27  
    28  # Summary
    29  
    30  bíogo is a framework designed to ease development and maintenance of computationally intensive bioinformatics applications [@biogo].
    31  The library is written in the Go programming language, a garbage-collected, strictly typed compiled language with built in support for concurrent processing, and performance comparable to C and Java.
    32  It provides a variety of data types and utility functions to facilitate manipulation and analysis of large scale genomic and other biological data. bíogo uses a concise and expressive syntax, lowering the barriers to entry for researchers needing to process large data sets with custom analyses while retaining computational safety and ease of code review.
    33  We believe bíogo provides an excellent environment for training and research in computational biology because of its combination of strict typing, simple and expressive syntax, and high performance.
    34  
    35  # References