Team:UTP-Software/HumanPractice
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In order to do so, we decided to make a introductory Presentation. | In order to do so, we decided to make a introductory Presentation. | ||
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+ | Note: Please when you are in the presentation fill free to use the mouse scroll wheel to make zoom in or out, and clic to move up and down if you need it. To begin the presentation clic in the play > button or < to go backwards. | ||
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[http://prezi.com/tuvrabgowboo/utp-software-2012-team/ <font face="verdana" style="color:#663366"> '''UTP SOFTWARE TEAM 2012 HUMAN PRACTICES PRESENTATION '''] | [http://prezi.com/tuvrabgowboo/utp-software-2012-team/ <font face="verdana" style="color:#663366"> '''UTP SOFTWARE TEAM 2012 HUMAN PRACTICES PRESENTATION '''] | ||
<div align="center"> | <div align="center"> | ||
- | == Human Practices Project An Introduction== | + | == Human Practices Project. An Introduction== |
<div align="justify"> | <div align="justify"> | ||
- | Bioinformatics is a new discipline that addresses the need to manage and interpret the data | + | Bioinformatics is a relatively new discipline that addresses the need to manage and interpret the data |
that in the past decade was massively generated by genomic research. This discipline | that in the past decade was massively generated by genomic research. This discipline | ||
represents the convergence of genomics, biotechnology and information technology, and | represents the convergence of genomics, biotechnology and information technology, and | ||
encompasses analysis and interpretation of data, modeling of biological phenomena, and | encompasses analysis and interpretation of data, modeling of biological phenomena, and | ||
- | development of algorithms and statistics. | + | development of algorithms and statistics.<br> |
Bioinformatics is by nature a cross-disciplinary | Bioinformatics is by nature a cross-disciplinary | ||
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myself, it is still a nebulous term that encompasses molecular evolution, biological modeling, | myself, it is still a nebulous term that encompasses molecular evolution, biological modeling, | ||
biophysics, and systems biology. For others, it is plainly computational science applied to a | biophysics, and systems biology. For others, it is plainly computational science applied to a | ||
- | biological system. | + | biological system. <br> |
Bioinformatics is also a thriving field that is currently in the forefront of | Bioinformatics is also a thriving field that is currently in the forefront of | ||
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living world. It is currently a hot commodity, and students in bioinformatics will benefit from | living world. It is currently a hot commodity, and students in bioinformatics will benefit from | ||
employment demand in government, the private sector, and academia. | employment demand in government, the private sector, and academia. | ||
- | + | <br> | |
With the advent of computers, humans have become ‘data gatherers’, measuring every aspect | With the advent of computers, humans have become ‘data gatherers’, measuring every aspect | ||
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finance and social stability), and clear understanding of chemical, biological and | finance and social stability), and clear understanding of chemical, biological and | ||
cosmological processes. Ultimately, we expect a better life. Unfortunately, data brings clutter | cosmological processes. Ultimately, we expect a better life. Unfortunately, data brings clutter | ||
- | and noise and its interpretation cannot keep pace with its accumulation. | + | and noise and its interpretation cannot keep pace with its accumulation.<br> |
One problem with data is its multi-dimensionality and how to uncover underlying signal (patterns) in the most | One problem with data is its multi-dimensionality and how to uncover underlying signal (patterns) in the most | ||
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we do with the data. Scientific discovery is driven by falsifiability and imagination and not by | we do with the data. Scientific discovery is driven by falsifiability and imagination and not by | ||
purely logical processes that turn observations into understanding. Data will not generate | purely logical processes that turn observations into understanding. Data will not generate | ||
- | knowledge if we use inductive principles. | + | knowledge if we use inductive principles. <br> |
- | + | ||
- | + | ||
The gathering, archival, dissemination, modeling, and analysis of biological data falls within | The gathering, archival, dissemination, modeling, and analysis of biological data falls within | ||
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crystallography) and were used in high-throughput combinatorial approaches (such as DNA | crystallography) and were used in high-throughput combinatorial approaches (such as DNA | ||
microarrays) to study patterns of gene expression. Inferences from sequences and | microarrays) to study patterns of gene expression. Inferences from sequences and | ||
- | biochemical data were used to construct metabolic networks. | + | biochemical data were used to construct metabolic networks.<br> |
These activities have generated terabytes of data that are now being analyzed with computer, statistical, and machine learning techniques. The sheer number of sequences and information derived from these endeavors | These activities have generated terabytes of data that are now being analyzed with computer, statistical, and machine learning techniques. The sheer number of sequences and information derived from these endeavors |
Latest revision as of 03:50, 27 September 2012
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