BIF401 Midterm Highlighted and Short Handouts 2022 by Muhammad Zaman
- Type
- Highlighted handout
- Course
- BIF401 Bioinformatics I
- Size
- PDF 3.5 MB
- Updated
- 23 Oct 2026
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(I just highlight the main and important topics for midterm.
If you found any mistake please correct it and tell me also.)
Bioinformatics is an interdisciplinary science at the cross-roads of biology, mathematics, computer science, chemistry and physics. With the digitalization of the biological information, doors have been wide opened towards the analysis of this information using computer algorithms and software. Now we know well that the human genome has over 25,000 genes and these genes code for thousands of different proteins which perform day-to-day functions in the living cell
EXPERIMENTS IN BIOLOGY
We have several next generation instruments and techniques available for obtaining digitalized biological information on genes and proteins etc. These instruments include:
- Next Generation Sequencers (NGS) for whole genome sequencing
- High Resolution Mass Spectrometry for whole proteome profiling
- Nuclear Magnetic Resonance Spectroscopy for structural studies
DIGITALIZATION OF BIOLOGY
In today’s world, when a biologist performs an experiment in the wet-lab, he or she in fact produces digital data which is continuously being stored on computer disks. The data may include text, numbers, symbols or images.
SPEED OF DATA GROWTH
Due to advancement in instrumentation used in biological experiments, data is being accumulated at exponentially increasing rates. For example; genome sequences in genome databases are doubling every few years.
MOTIVATION
It is an interdisciplinary field as it covers the information of biological digital information including human, plants, animals and microorganisms. Although it is a new field but it is rapidly developing field. It demands a very low cost infrastructure and hardly any lab equipment. It presents us with plenty of opportunities in scientific discovery.
SCOPE OF BIOINFORMATICS
Storage of data Organization data Analysis of many experiments For representation of biological information
ACTIVITIES
In modern biological sciences, bioinformatics is used for activities such as: Developing algorithms for organizing data collected from experiments Writing software and tools for data analysis Data processing to determine the role of underlying biomolecules Statistical evaluation of data using methods such as t-test and ANOVA Data visualization for meaningful presentation of biological information
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