从在线资源到全球神经科学合作研究:我们将走向何方?

Q4 Neuroscience
P. Cheah, K. Ling, Eric Tatt Wei Ho
{"title":"从在线资源到全球神经科学合作研究:我们将走向何方?","authors":"P. Cheah, K. Ling, Eric Tatt Wei Ho","doi":"10.31117/neuroscirn.v3i3.51","DOIUrl":null,"url":null,"abstract":"Neuroscience has emerged as a richly transdisciplinary field, poised to leverage potential synergies with information technology. To investigate the complex nervous system in its normal function and the disease state, researchers in the field are increasingly reliant on generating, sharing and analyzing diverse data from multiple experimental paradigms at multiple spatial and temporal scales. There is growing recognition that brain function must be investigated from a systems perspective. This requires an integrated analysis of genomic, proteomic, anatomical, functional, topological and behavioural information to arrive at accurate scientific conclusions. The integrative neuroinformatics approaches for exploring complex structure-function relationships in the nervous system have been extensively reviewed. To support neuroscience research, the neuroscientific community also generates and maintains web-accessible databases of experimental and computational data and innovative software tools. Neuroinformatics is an emerging sub-field of neuroscience which focuses on addressing the unique technological and computational challenges to integrate and analyze the increasingly high-volume, multi-dimensional, and fine-grain data generated from neuroscience experiments. The most visible contributions from neuroinformatics include the myriad reference atlases of brain anatomy (human and other mammals such as rodents, primates and pig), gene and protein sequences and the bioinformatics software tools for alignment, matching and identification. Other neuroinformatics initiatives include the various open-source preprocessing and processing software and workflows for data analysis as well as the specifications for data format and software interoperability that allow seamless exchange of data between labs, software tools and modalities.","PeriodicalId":36108,"journal":{"name":"Neuroscience Research Notes","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From online resources to collaborative global neuroscience research: where are we heading?\",\"authors\":\"P. Cheah, K. Ling, Eric Tatt Wei Ho\",\"doi\":\"10.31117/neuroscirn.v3i3.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Neuroscience has emerged as a richly transdisciplinary field, poised to leverage potential synergies with information technology. To investigate the complex nervous system in its normal function and the disease state, researchers in the field are increasingly reliant on generating, sharing and analyzing diverse data from multiple experimental paradigms at multiple spatial and temporal scales. There is growing recognition that brain function must be investigated from a systems perspective. This requires an integrated analysis of genomic, proteomic, anatomical, functional, topological and behavioural information to arrive at accurate scientific conclusions. The integrative neuroinformatics approaches for exploring complex structure-function relationships in the nervous system have been extensively reviewed. To support neuroscience research, the neuroscientific community also generates and maintains web-accessible databases of experimental and computational data and innovative software tools. Neuroinformatics is an emerging sub-field of neuroscience which focuses on addressing the unique technological and computational challenges to integrate and analyze the increasingly high-volume, multi-dimensional, and fine-grain data generated from neuroscience experiments. The most visible contributions from neuroinformatics include the myriad reference atlases of brain anatomy (human and other mammals such as rodents, primates and pig), gene and protein sequences and the bioinformatics software tools for alignment, matching and identification. Other neuroinformatics initiatives include the various open-source preprocessing and processing software and workflows for data analysis as well as the specifications for data format and software interoperability that allow seamless exchange of data between labs, software tools and modalities.\",\"PeriodicalId\":36108,\"journal\":{\"name\":\"Neuroscience Research Notes\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuroscience Research Notes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31117/neuroscirn.v3i3.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Neuroscience\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroscience Research Notes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31117/neuroscirn.v3i3.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Neuroscience","Score":null,"Total":0}
引用次数: 0

摘要

神经科学已经成为一个丰富的跨学科领域,准备利用潜在的协同效应与信息技术。为了研究复杂的神经系统的正常功能和疾病状态,研究人员越来越依赖于在多个时空尺度上生成、共享和分析来自多个实验范式的各种数据。越来越多的人认识到,必须从系统的角度来研究大脑功能。这需要对基因组学、蛋白质组学、解剖学、功能学、拓扑学和行为学信息进行综合分析,以得出准确的科学结论。综合神经信息学方法用于探索神经系统中复杂的结构-功能关系已经得到了广泛的回顾。为了支持神经科学研究,神经科学界还生成并维护了可通过网络访问的实验和计算数据数据库以及创新的软件工具。神经信息学是神经科学的一个新兴子领域,它专注于解决独特的技术和计算挑战,以整合和分析神经科学实验产生的越来越多的高容量,多维度和细粒度数据。神经信息学最显著的贡献包括大量的脑解剖学参考图谱(人类和其他哺乳动物,如啮齿动物、灵长类动物和猪)、基因和蛋白质序列以及用于比对、匹配和鉴定的生物信息学软件工具。其他神经信息学计划包括各种开源预处理和处理软件以及用于数据分析的工作流程,以及数据格式和软件互操作性规范,这些规范允许在实验室、软件工具和模式之间无缝交换数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From online resources to collaborative global neuroscience research: where are we heading?
Neuroscience has emerged as a richly transdisciplinary field, poised to leverage potential synergies with information technology. To investigate the complex nervous system in its normal function and the disease state, researchers in the field are increasingly reliant on generating, sharing and analyzing diverse data from multiple experimental paradigms at multiple spatial and temporal scales. There is growing recognition that brain function must be investigated from a systems perspective. This requires an integrated analysis of genomic, proteomic, anatomical, functional, topological and behavioural information to arrive at accurate scientific conclusions. The integrative neuroinformatics approaches for exploring complex structure-function relationships in the nervous system have been extensively reviewed. To support neuroscience research, the neuroscientific community also generates and maintains web-accessible databases of experimental and computational data and innovative software tools. Neuroinformatics is an emerging sub-field of neuroscience which focuses on addressing the unique technological and computational challenges to integrate and analyze the increasingly high-volume, multi-dimensional, and fine-grain data generated from neuroscience experiments. The most visible contributions from neuroinformatics include the myriad reference atlases of brain anatomy (human and other mammals such as rodents, primates and pig), gene and protein sequences and the bioinformatics software tools for alignment, matching and identification. Other neuroinformatics initiatives include the various open-source preprocessing and processing software and workflows for data analysis as well as the specifications for data format and software interoperability that allow seamless exchange of data between labs, software tools and modalities.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Neuroscience Research Notes
Neuroscience Research Notes Neuroscience-Neurology
CiteScore
1.00
自引率
0.00%
发文量
21
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信