The sudden exponential increase of biological data concerning genome structure and functionalities, also fostered by the advent of Next Generation Sequencing (NGS) technologies, while expanding the opportunity to highlight still uncovered molecular aspects, challenges bioinformatics in several repects. Data management, processing, updating, dissemination and integration are the major areas of concern. The rapid increase in various omics technologies causes two major issues, which may even appear contrasting: the dissemination of poorly curated datasets, still in the form of raw collections or preliminary draft results, and the fast updating of information that, as a consequence, affects the establishment of stable reliable resources. These issues are mainly caused by the lower rate of bioinformatics in extracting added value information from the large amount of data, when compared to the faster technologies involved in data production. This review describes main bioinformatics resources for plants genomics to underline the heterogeneity of the available collections, coherent with the multifaceted complexity of plant sciences. It aims to provide an in-depth report highlighting bottlenecks that may significantly affect a fluent progress in the field and attempts to suggest possible solutions to the various issues.

中文翻译：

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植物基因组学的生物信息学资源：组学时代的机遇和瓶颈。

下一代测序 (NGS) 技术的出现也促进了有关基因组结构和功能的生物数据的突然指数增长，同时扩大了突出尚未发现的分子方面的机会，这在几个方面对生物信息学提出了挑战。数据管理、处理、更新、传播和整合是关注的主要领域。各种组学技术的快速增长导致了两个主要问题，甚至可能出现对比：传播管理不善的数据集，仍然以原始集合或初步草稿结果的形式，以及信息的快速更新，结果影响建立稳定可靠的资源。与数据生产中涉及的更快技术相比，这些问题主要是由于生物信息学从大量数据中提取增值信息的速度较低。这篇综述描述了植物基因组学的主要生物信息学资源，以强调可用集合的异质性，与植物科学的多方面复杂性相一致。它旨在提供一份深入的报告，突出可能显着影响该领域流畅进展的瓶颈，并尝试就各种问题提出可能的解决方案。与植物科学的多方面复杂性相一致。它旨在提供一份深入的报告，突出可能显着影响该领域流畅进展的瓶颈，并尝试就各种问题提出可能的解决方案。与植物科学的多方面复杂性相一致。它旨在提供一份深入的报告，突出可能显着影响该领域流畅进展的瓶颈，并尝试就各种问题提出可能的解决方案。