Article Commentary: Neuroinformatics: From Bioinformatics to Databasing the Brain
Neuroinformatics seeks to create and maintain web-accessible databases of experimental and computational data, together with innovative software tools, essential for understanding the nervous system in its normal function and in neurological disorders. Neuroinformatics includes traditional bioinform...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2008-01-01
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| Series: | Bioinformatics and Biology Insights |
| Online Access: | https://doi.org/10.4137/BBI.S540 |
| _version_ | 1818516866007564288 |
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| author | Thomas M. Morse |
| author_facet | Thomas M. Morse |
| author_sort | Thomas M. Morse |
| collection | DOAJ |
| description | Neuroinformatics seeks to create and maintain web-accessible databases of experimental and computational data, together with innovative software tools, essential for understanding the nervous system in its normal function and in neurological disorders. Neuroinformatics includes traditional bioinformatics of gene and protein sequences in the brain; atlases of brain anatomy and localization of genes and proteins; imaging of brain cells; brain imaging by positron emission tomography (PET), functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magnetoencephalography (MEG) and other methods; many electrophysiological recording methods; and clinical neurological data, among others. Building neuroinformatics databases and tools presents difficult challenges because they span a wide range of spatial scales and types of data stored and analyzed. Traditional bioinformatics, by comparison, focuses primarily on genomic and proteomic data (which of course also presents difficult challenges). Much of bioinformatics analysis focus on sequences (DNA, RNA, and protein molecules), as the type of data that are stored, compared, and sometimes modeled. Bioinformatics is undergoing explosive growth with the addition, for example, of databases that catalog interactions between proteins, of databases that track the evolution of genes, and of systems biology databases which contain models of all aspects of organisms. This commentary briefly reviews neuroinformatics with clarification of its relationship to traditional and modern bioinformatics. |
| first_indexed | 2024-12-11T00:48:12Z |
| format | Article |
| id | doaj.art-35d2064ab4604b73b6fd6e66a1df0630 |
| institution | Directory Open Access Journal |
| issn | 1177-9322 |
| language | English |
| last_indexed | 2024-12-11T00:48:12Z |
| publishDate | 2008-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Bioinformatics and Biology Insights |
| spelling | doaj.art-35d2064ab4604b73b6fd6e66a1df06302022-12-22T01:26:42ZengSAGE PublishingBioinformatics and Biology Insights1177-93222008-01-01210.4137/BBI.S540Article Commentary: Neuroinformatics: From Bioinformatics to Databasing the BrainThomas M. Morse0Department of Neurobiology, Yale University School of Medicine, 336 Cedar Street, New Haven CT 06510.Neuroinformatics seeks to create and maintain web-accessible databases of experimental and computational data, together with innovative software tools, essential for understanding the nervous system in its normal function and in neurological disorders. Neuroinformatics includes traditional bioinformatics of gene and protein sequences in the brain; atlases of brain anatomy and localization of genes and proteins; imaging of brain cells; brain imaging by positron emission tomography (PET), functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magnetoencephalography (MEG) and other methods; many electrophysiological recording methods; and clinical neurological data, among others. Building neuroinformatics databases and tools presents difficult challenges because they span a wide range of spatial scales and types of data stored and analyzed. Traditional bioinformatics, by comparison, focuses primarily on genomic and proteomic data (which of course also presents difficult challenges). Much of bioinformatics analysis focus on sequences (DNA, RNA, and protein molecules), as the type of data that are stored, compared, and sometimes modeled. Bioinformatics is undergoing explosive growth with the addition, for example, of databases that catalog interactions between proteins, of databases that track the evolution of genes, and of systems biology databases which contain models of all aspects of organisms. This commentary briefly reviews neuroinformatics with clarification of its relationship to traditional and modern bioinformatics.https://doi.org/10.4137/BBI.S540 |
| spellingShingle | Thomas M. Morse Article Commentary: Neuroinformatics: From Bioinformatics to Databasing the Brain Bioinformatics and Biology Insights |
| title | Article Commentary: Neuroinformatics: From Bioinformatics to Databasing the Brain |
| title_full | Article Commentary: Neuroinformatics: From Bioinformatics to Databasing the Brain |
| title_fullStr | Article Commentary: Neuroinformatics: From Bioinformatics to Databasing the Brain |
| title_full_unstemmed | Article Commentary: Neuroinformatics: From Bioinformatics to Databasing the Brain |
| title_short | Article Commentary: Neuroinformatics: From Bioinformatics to Databasing the Brain |
| title_sort | article commentary neuroinformatics from bioinformatics to databasing the brain |
| url | https://doi.org/10.4137/BBI.S540 |
| work_keys_str_mv | AT thomasmmorse articlecommentaryneuroinformaticsfrombioinformaticstodatabasingthebrain |