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基因组软件研发与资金投入的挑战:根源与对策。

Challenges in funding and developing genomic software: roots and remedies.

机构信息

Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA.

出版信息

Genome Biol. 2019 Jul 29;20(1):147. doi: 10.1186/s13059-019-1763-7.

DOI:10.1186/s13059-019-1763-7
PMID:31358028
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6664559/
Abstract

The computer software used for genomic analysis has become a crucial component of the infrastructure for life sciences. However, genomic software is still typically developed in an ad hoc manner, with inadequate funding, and by academic researchers not trained in software development, at substantial costs to the research community. I examine the roots of the incongruity between the importance of and the degree of investment in genomic software, and I suggest several potential remedies for current problems. As genomics continues to grow, new strategies for funding and developing the software that powers the field will become increasingly essential.

摘要

用于基因组分析的计算机软件已成为生命科学基础设施的重要组成部分。然而,基因组软件通常仍然是采用特别的方式、以不足的资金、由没有接受过软件开发培训的学术研究人员开发的,这给研究界带来了巨大的成本。我研究了基因组软件的重要性与投资程度之间不匹配的根源,并为当前的问题提出了几种可能的补救措施。随着基因组学的持续发展,为该领域提供支持的软件提供资金和开发的新策略将变得越来越重要。

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