Computational biology in the 21st century
Computational biologists answer biological and biomedical questions by using computation in support of—or in place of—laboratory procedures, hoping to obtain more accurate answers at a greatly reduced cost. The past two decades have seen unprecedented technological progress with regard to generating...
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| Format: | Article |
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Association for Computing Machinery (ACM)
2018
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| Online Access: | http://hdl.handle.net/1721.1/116419 https://orcid.org/0000-0002-2724-7228 https://orcid.org/0000-0002-9538-825X https://orcid.org/0000-0002-8275-9576 |
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| author | Berger Leighton, Bonnie Daniels, Noah Yu, Yun William |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Berger Leighton, Bonnie Daniels, Noah Yu, Yun William |
| author_sort | Berger Leighton, Bonnie |
| collection | MIT |
| description | Computational biologists answer biological and biomedical questions by using computation in support of—or in place of—laboratory procedures, hoping to obtain more accurate answers at a greatly reduced cost. The past two decades have seen unprecedented technological progress with regard to generating biological data; next-generation sequencing, mass spectrometry, microarrays, cryo-electron microscopy, and other highthroughput approaches have led to an explosion of data. However, this explosion is a mixed blessing. On the one hand, the scale and scope of data should allow new insights into genetic and infectious diseases, cancer, basic biology, and even human migration patterns. On the other hand, researchers are generating datasets so massive that it has become difficult to analyze them to discover patterns that give clues to the underlying biological processes. |
| first_indexed | 2024-09-23T13:50:32Z |
| format | Article |
| id | mit-1721.1/116419 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:50:32Z |
| publishDate | 2018 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1164192022-09-28T16:33:43Z Computational biology in the 21st century Berger Leighton, Bonnie Daniels, Noah Yu, Yun William Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Department of Mathematics Berger Leighton, Bonnie Daniels, Noah Yu, Yun William Computational biologists answer biological and biomedical questions by using computation in support of—or in place of—laboratory procedures, hoping to obtain more accurate answers at a greatly reduced cost. The past two decades have seen unprecedented technological progress with regard to generating biological data; next-generation sequencing, mass spectrometry, microarrays, cryo-electron microscopy, and other highthroughput approaches have led to an explosion of data. However, this explosion is a mixed blessing. On the one hand, the scale and scope of data should allow new insights into genetic and infectious diseases, cancer, basic biology, and even human migration patterns. On the other hand, researchers are generating datasets so massive that it has become difficult to analyze them to discover patterns that give clues to the underlying biological processes. National Institutes of Health. (U.S.) ( grant GM108348) Hertz Foundation 2018-06-19T18:04:45Z 2018-06-19T18:04:45Z 2016-08 2018-05-16T16:36:46Z Article http://purl.org/eprint/type/JournalArticle 0001-0782 1557-7317 http://hdl.handle.net/1721.1/116419 Berger, Bonnie, Noah M. Daniels, and Y. William Yu. “Computational Biology in the 21st Century.” Communications of the ACM 59, no. 8 (July 22, 2016): 72–80, New York, NY, USA, Association for Computing Machinery (ACM), August 2016. https://orcid.org/0000-0002-2724-7228 https://orcid.org/0000-0002-9538-825X https://orcid.org/0000-0002-8275-9576 http://dx.doi.org/10.1145/2957324 Communications of the ACM Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) PMC |
| spellingShingle | Berger Leighton, Bonnie Daniels, Noah Yu, Yun William Computational biology in the 21st century |
| title | Computational biology in the 21st century |
| title_full | Computational biology in the 21st century |
| title_fullStr | Computational biology in the 21st century |
| title_full_unstemmed | Computational biology in the 21st century |
| title_short | Computational biology in the 21st century |
| title_sort | computational biology in the 21st century |
| url | http://hdl.handle.net/1721.1/116419 https://orcid.org/0000-0002-2724-7228 https://orcid.org/0000-0002-9538-825X https://orcid.org/0000-0002-8275-9576 |
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