계산생물학

노트

위키데이터

• ID : Q177005

말뭉치

1. Computational biology originated as a tool rather than as its own discipline as it did not embody a set of core questions.
2. Much of the power of computational biology follows from its use in collaboration with experts in other fields.
3. Abstract Here, I argue that computational thinking and techniques are so central to the quest of understanding life that today all biology is computational biology.
4. Computational biology brings order into our understanding of life, it makes biological concepts rigorous and testable, and it provides a reference map that holds together individual insights.
5. I had been trained in mathematics and machine learning but was now interviewing for a computational biology job in a cancer research institute.
6. Computational biology lets you see the big picture Another way computers have reshaped biology is by introducing statistics and data analysis methods.
7. Computational biology, a branch of biology involving the application of computers and computer science to the understanding and modeling of the structures and processes of life.
8. Subscribe today Beginning in the 1980s, computational biology drew on further developments in computer science, including a number of aspects of artificial intelligence (AI).
9. Initially, computational biology focused on the study of the sequence and structure of biological molecules, often in an evolutionary context.
10. The terms bioinformatics and computational biology are often used interchangeably, even by experts, and many feel that the distinctions are not useful.
11. Bioinformatics and Computational Biology have become buzzwords in today’s world of Science.
12. Computational biology involves the development of algorithms used to analyse the biological data.
13. A major application of bioinformatics and computational biology can be found in the fields of precision medicine and preventive medicine.
14. A timely example of the use of knowledge from bioinformatics and computational biology can be seen at present.
15. The terms computational biology and evolutionary computation have a similar name, but are not to be confused.
16. Unlike computational biology, evolutionary computation is not concerned with modeling and analyzing biological data.
17. Sometimes referred to as genetic algorithms, the research of this field can be applied to computational biology.
18. Analysts project that if major medications fail due to patents, that computational biology will be necessary to replace current drugs on the market.
19. Your submission to the Journal of Computational Biology provides you with robust tools and support to ensure maximum impact and readership for your work.
20. If published in JOURNAL OF COMPUTATIONAL BIOLOGY, the paper cannot be published anywhere else in the same form, regardless of language, without the consent of the Publisher.
21. Broadly speaking, computational biology is the application of computer science, statistics, and mathematics to problems in biology.
22. Computational biology spans a wide range of fields within biology, including genomics/genetics, biophysics, cell biology, biochemistry, and evolution.
23. The terms computational biology and bioinformatics are often used interchangeably.
24. Many CB faculty members belong to these graduate fields as well as to Computational Biology.
25. Computational Biology is an active area within IBM Research, and researchers working on Computational Biology are members of a designated CB Professional Interest Community (PIC).
26. Computational Biology research at IBM spans life sciences research at the interface of information technology and biology.
27. The curriculum provides both breadth and depth of training in Computational Biology and is built on a solid foundation of Biology, Computer Science, Statistics, and Machine Learning (Data Sciences).
28. The integrated discipline of computational biology/bioinformatics represents the application of modern computer science, statistics, and mathematics to exploring biological and biomedical problems.
29. The M.S. in Computational Biology program enrolls students who desire a more immediate career in industry or who wish to explore computational biology without committing to a doctoral program.
30. How much their names are similar can be confusing, but biological computing and computational biology are not the same thing.
31. Computational biology is the interdisciplinary science that uses computer tools to help better understand the most complex biological systems.
32. Technological advances have opened the door to a world of innovation in healthcare, where computational biology is gaining strength.
33. Computational genetics is a discipline of computational biology where homology and internal biological mechanism are studied by sequencing the genome.
34. Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences .
35. Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences.
36. The Stony Brook Department of Applied Mathematics and Statistics houses a strong research program in Computational Biology.
37. For more information on computational biology research projects, see Computational Biology projects.
38. The computational biology track also offers a M.S. degree, consisting of 30 credits of graduate coursework with no thesis.
39. The core courses required for the M.S. degree in computational biology are also taken by all PhD students in this track in preparation for the PhD qualifying examinations.
40. This series aims to capture new developments in computational biology, as well as high-quality work summarizing or contributing to more established topics.
41. The research group Computational Biology develops computational models that help to obtain qualitative and quantitative knowledge of diseases, biomedical processes and structures.
42. The OHSU computational biology program leads in the development of innovative computational approaches to a range of programs in basic and translational research throughout OHSU.
43. The computational biology team has advanced training in machine learning, statistical techniques, and a track record of innovation in a biomedical application.
44. We also firmly adhere to the guiding principle that equity, inclusivity, and diversity are central to the progress of science and computational biology.
45. Computational biology merges the algorithmic thinking of the computer scientist with the problem solving approach of physics to address the problems of biology.
46. Computational biology involves the analysis and discovery of biological phenomena using computational tools, and the algorithmic design and analysis of such tools.
47. Students enrolled in the computational biology concentration will complete a research project in their senior year under faculty supervision.
48. Sometimes professors assign graduate students to go off, learn about computational biology, come back, and basically be the "guru" in the lab.
49. Computational biology is a growing field of study in the life sciences.
50. The Department of Biostatistics offers a variety of educational and research opportunities in computational biology and bioinformatics.
51. As the field of biology has become more diverse and complex, so the field of computational biology has grown to support it.
52. IRP Institutes and Centers have embraced computational biology, with many now having a dedicated computing core.
53. At PNNL, computational biology is the organizing framework that reveals fundamental processes and principles.

메타데이터

위키데이터

• ID : Q177005

Spacy 패턴 목록

• [{'LOWER': 'computational'}, {'LEMMA': 'biology'}]