The Idea is to analyze the big data collection from specific geographical location. contact me via email: nima.rashvand@gmail.com

1. Application of Data Science In
Evolutionary Biology
Presented by: Nima Rashvand
Product Developer

2. What is Data Science:
• Data science is an interdisciplinary field that uses scientific methods,
processes, algorithms and systems to extract knowledge and insights
from data in various forms, both structured and unstructured similar to data
mining. [1],[2]
• Data science is a "concept to unify statistics, data analysis, machine learning
and their related methods" in order to "understand and analyze actual
phenomena" with data. [3]
• Data science seeks actionable and consistent pattern for predictive uses.

3. What is Evolutionary Biology:
• Evolutionary biology is the subfield of biology that studies the evolutionary
processes that produced the diversity of life on Earth, starting from a single
common ancestor. These processes include natural selection, common
descent, and speciation.[4]
• Variation exists within all populations of organisms. This occurs partly
because random mutations arise in the genome of an individual organism,
and offspring can inherit such mutations. [5]

4. What is DNA Sequencing:
• DNA sequencing is the process of determining the precise order
of nucleotides within a DNA molecule. It includes any method or technology
that is used to determine the order of the four bases-A-T-G-C—in a strand of
DNA.[6]
• Since DNA is an informative macromolecule in terms of transmission from one
generation to another, DNA sequencing is used in evolutionary biology to
study how different organisms are related and how they evolved. [7]
• Short-Read -DNA sequencing is commercially available now at a very low
price around 1000$ for each person!

5. Cost of DNA Sequencing:

6. Genetic ID:

7. Pattern of Genetic Inheritance:

8. Case of Study: (Breast Cancer)
• Female: Women who have a BRCA1 mutation or BRCA2 mutation (or both)
can have up to an 80% risk of being diagnosed with breast cancer during their
lifetimes. [8]
• Male: Men who inherit abnormal BRCA1 or BRCA2 genes have an increased
risk of male breast cancer. The lifetime risk of developing breast cancer is
approximately 1% with the BRCA1 gene mutation and 6% with the
BRCA2 gene mutation. [8]
• Aging [Trigger]
• Life style [Trigger]
• Living Condition [Trigger]

9. Case of Study: (Diabetes)
• Family History: Since type 1 or 2 diabetes involves an inherited susceptibility
to developing the disease, if a family member has (or had) type 1 or 2, you are
at a higher risk. If both parents have (or had) type 1 or 2, the likelihood of
their child developing type 1 or 2 is higher than if just one parent has
(or had) diabetes.
• Obesity [Trigger]
• Aging [Trigger]
• Life Style [Trigger]
• Living Condition [Trigger]

10. Decoding of DNA sequencing:
• Digitalization of human factors
• Understandable for Machine
• Prediction of vulnerability of Disease inheritance to the next Generation
• Simulation of Human Appearance and physical specifications based on an standard Coding
System.

11. Data Privacy and Challenges:
• Personal Identity & Data
Privacy
• National Security & law
makers
• Big Data Collection
• Big Data Analysis
• Religion

12. Benefits:
• Identification of Abnormal Genes
• Reducing of National Health System cost and increasing of well
being of Society by Prediction
• Prediction of Geographical dispersions of Population based on
Genetic mapping

13. References:
1. Dhar, V. (2013). "Data science and prediction“
2. Jeff Leek (2013-12-12). "The key word in "Data Science" is not Data, it is Science“
3. Hayashi, Chikio (1998-01-01). "What is Data Science? Fundamental Concepts and a Heuristic Example“
4. Smocovitis, Vassiliki Betty (1996). Unifying Biology: The Evolutionary Synthesis and Evolutionary
Biology. Princeton, NJ: Princeton University Press
5. esse Love Hendrikse; Trish Elizabeth Parsons; Benedikt Hallgrímsson (2007). "Evolvability as the proper
focus of evolutionary developmental biology“
6. "Introducing 'dark DNA' – the phenomenon that could change how we think about evolution“
7. Pettersson E, Lundeberg J, Ahmadian A (February 2009). "Generations of sequencing technologies“
8. Kotsopoulos J, Kim YI, Narod SA. Folate and breast cancer: what about high-risk women? Canc Causes
Contr.
9. Das AK, Shah S. History of diabetes: from ants to analogs. J Assoc Physicians India. 2011