Introduction to Computational Biology Flashcards

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1
Q

the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological, behavioral, and social systems (Pevsner, 2015)

A

Computational Biology

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2
Q

▪ is a broad term, which covers all efforts of scientific investigations on or related to biology that involves mathematics and computation (Jianget. al., 2013)

A

Computational Biology

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3
Q

▪ an emerging discipline that draws upon the strengths of computer sciences, mathematics, and information technology to determine and analyze genetic information (Singh, 2015)

A

Bioinformatics

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4
Q

▪ research, development, or application of computational tools and approaches for expanding the use of biological, medical, behavioral, or health data, including those to acquire, store, organize, analyze, or visualize such data (Pevsner, 2015)

A

Bioinformatics

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5
Q

one-by-one cleavage of N-terminal amino acid residues with phenylisothiocyanate

A

Edman sequencing

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6
Q

first protein to be sequenced

A

Insulin

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7
Q

the first bioinformatician

pioneered the application of computational methods

Developed the3-letter and 1-letter amino acid code

A

Margaret Dayhoff

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8
Q

‘a complete computer program for the IBM 7090’ designed to determine protein primary structure

A

COMPROTEIN

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9
Q

first-ever biological sequence database

A

Atlas of Protein Sequence and Structure

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10
Q

▪ Coined the term ‘Paleogenetics’
▪ hypothesized that orthologous proteins evolved through divergence from a common ancestor

A

Emile Zuckerkandl & Linus Pauling

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11
Q

▪ developed the first dynamic programming algorithm for pairwise protein sequence alignments

A

Saul B. Needleman & Christian D. Wunsch

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12
Q

became the basis for the first published MSA algorithm

A

Needleman–Wunsch algorithm

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13
Q

developed the first truly practical approach to MSA

A

Da-Fei Feng & Russell F. Doolitle

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14
Q

became the basis for the now popular CLUSTALMSA software

A

Feng–Doolittle algorithm

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15
Q

what sequencing is this: radioactive reagents

A

Maxam–Gilbert sequencing

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16
Q

‘plus and minus’ DNA sequencing; first to rely on primed synthesis with DNA polymerase

A

Sanger Sequencing

17
Q

first sequence analysis software to include additional characters
▪ search + contigs assembly + annotate and manipulate sequence file

A

Staden Package

18
Q

The least number of changes as the main mechanism driving evolutionary change

Usually, for protein sequence
based phylogeny

A

Maximum Parsimony

19
Q

Who proposed Maximum Parsimony

A

Walter M. Fitch

20
Q

finding the evolutionary tree that yields the highest probability of evolving

Usually, for nucleic acid sequence-based phylogeny

A

Maximum Likelihood

21
Q

Who proposed Maximum Likelihood

A

Joseph Felsenstein

22
Q

promoted the freedom to run, copy, distribute, study, change and improve the software

A

Richard Stallman

23
Q

first complete genome that was sequenced

A

Haemophilus influenzae

24
Q

turning point of the genomic era

A

Human Genome Project

25
Q

Human Genome Project from Public

A

National Institute of Health

26
Q

Human Genome Project from Private

A

Celera Genomics

27
Q

first 3D structure experimentally determined

A

Myoglobin

28
Q

▪ Effect of lowering the cost of massively
parallel sequencing technologies
▪ New repositories being made for model
organisms

A

‘Biological Big Data’

29
Q

▪ Started with the ‘454 pyrosequencing
technology’
▪ Availability of a multitude of platforms

A

Second-generation sequencing or NGS

30
Q

Central dogma of genomics

A

Genome -> Transcriptome -> Proteome -> Cellular phenotyppe

31
Q

A main culture in bioinformatics that do not require knowledge of programming and are immediately accessible

A

Web-based or Graphical User Interface (GUI)

32
Q

2 main culture of bioinformatics

A
  1. Web-based or Graphical User Interface (GUI)
  2. Command Line (often Linux)
33
Q

A main culture in bioinformatics that has high‐throughput approaches that is more appropriate for analyzing large‐scale datasets

A

Command Line (often Linux)

34
Q

(1) A workflow should be well documented.
(2) Information should be well organized.
(3) Data should be made available to others.
(4) Metadata can be equally as crucial as data.
(5) Databases that are used should be documented.
(6) Software should be documented

A