Informatics Report: Applications in Science and Data Extraction

Verified

Added on  2020/12/18

|5
|761
|217
Report
AI Summary
This report provides an overview of informatics, exploring its sources, applications, and the use of databases for data extraction. It begins by defining informatics and discussing its applications in various fields, including health and science. The report delves into specific sources of informatics, such as biological, chemical, and physical science data, and considers different types of laboratory measurements. It then examines the application of informatics, including predictive modeling, and hypothesizing, with examples from the Human Genome Project. The report highlights the use of the BLAST algorithm for data extraction from databases. The conclusion emphasizes the effectiveness of informatics in healthcare and pharmaceuticals for data analysis and extraction. References include books and journals related to the topic.
Document Page
Informatics
tabler-icon-diamond-filled.svg

Secure Best Marks with AI Grader

Need help grading? Try our AI Grader for instant feedback on your assignments.
Document Page
TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................1
P1 Sources of informatics and considering different types of laboratory and measurements
and relevant data.....................................................................................................................1
P3 Application of informatics and giving example for the knowledge gained from
measurements.........................................................................................................................1
M1 Application of informatics in science..............................................................................2
D1 Use of data bases for extracting data................................................................................2
CONCLUSION................................................................................................................................2
REFERENCES................................................................................................................................3
Document Page
INTRODUCTION
The informatics is applied in various fields in effective way. Present report deals with
importance of informatics and in relation to sources. Furthermore, application of informatics is
also applied. Furthermore, Human Genome Project is taken and BLAST algorithm is applied
quite effectively.
P1 Sources of informatics and considering different types of laboratory and measurements and
relevant data
The sources of informatics are biological, chemical, and related to physical science which
can be used to carry out activities in the best possible manner. Informatics is termed as
engineering which is applied in various fields (Informatics. 2018). It is found in health sector
also and as such, it is known as health informatics. In relation to this, Amino acid sequence is
reliable source of science. It is termed as assembling amino acids and then making protein called
as protein synthesis. Another source is protein structure which is known as arranging atoms in
three dimensional form in amino acid molecules. The structures are different in size ranging
from ten to a thousand amino acids. Physical and chemical scientific constant are another sources
of data (Brown and et.al, 2017).
P3 Application of informatics and giving example for the knowledge gained from measurements
The informatics can be applied to various aspects which are discussed below-
1. Predicting- The Predictive Informatics (PI) is accumulation of modelling based on prediction
and informatics which is applied in health and social care, life sciences and pharmaceutical
industries as well. It helps analysts to effectively analyse data, recognising patterns and thus
make enhanced decisions to achieve future result.
2. Modelling- The modelling is used in science to make certain part of activities easier to define
and understand and even stimulate in the best possible manner. It is done by referencing with the
same to existing or acquired knowledge in effective way. Hence, information can be gathered
quite effectually (Hectors and et.al, 2017).
3. Hypothesising- The scientific model can be hypothesised in a better way in order to derive
outcome in effective way. It is phenomenon proposed for explanation and in relation to scientific
hypothesis, scientific technique is required to test quite effectually.
1
Document Page
M1 Application of informatics in science
The scientific informatics can be applied to Human Genome Project in which goal was to
determine sequence of nucleotide base pairs making DNA (Deoxyribonucleic Acid) and
identifying genes of genome from standpoint of physical and functional. Hypothesising can be
applied in this aspect to explain phenomenon in effective way (Trippe and et.al, 2017).
D1 Use of data bases for extracting data
The data base named as BLAST (Basic Local Alignment Search Tool) is a tool or
algorithm for effectively comparing biological sequence information and as such, it can be
applied to Human Genome Project for extracting data. It is used for carrying out transactional
data bases and as such, it helps in data extraction quite effectually.
CONCLUSION
Hereby it can be concluded that informatics is effectively used in health care,
pharmaceutical so that they may be able to carry out relevant data with much ease. Furthermore,
data application can be used to analyse phenomenon in effective manner.
2
tabler-icon-diamond-filled.svg

Secure Best Marks with AI Grader

Need help grading? Try our AI Grader for instant feedback on your assignments.
Document Page
REFERENCES
Books and Journals
Brown, F. K and et.al, 2017. Data to Decisions: Creating a Culture of Model-Driven Drug
Discovery. The AAPS journal. 19(5). pp.1255-1263.
Hectors, S. J and et.al, 2017. DCE‐MRI of the prostate using shutter‐speed vs. Tofts model for
tumor characterization and assessment of aggressiveness. Journal of Magnetic Resonance
Imaging. 46(3). pp.837-849.
Trippe, E. D and et.al, 2017. A vision for health informatics: Introducing the sked framework. an
extensible architecture for scientific knowledge extraction from data. arXiv preprint
arXiv:1706.07992.
Online
Informatics. 2018 [Online] Available Through:
<https://www.techopedia.com/definition/30332/informatics>
3
chevron_up_icon
1 out of 5
circle_padding
hide_on_mobile
zoom_out_icon
logo.png

Your All-in-One AI-Powered Toolkit for Academic Success.

Available 24*7 on WhatsApp / Email

[object Object]