Bioinformatics

Descrição

Quiz sobre Bioinformatics, criado por lauren beck em 19-01-2020.
lauren beck
Quiz por lauren beck, atualizado more than 1 year ago
lauren beck
Criado por lauren beck mais de 4 anos atrás
48
0

Resumo de Recurso

Questão 1

Questão
Which of the following are sequence elements that algorithms can exploit to search for genes in a prokaryotic genome?
Responda
  • TFIIB recognition element
  • TATA box at -10
  • ATG start codon
  • STOP codon
  • downstream core promoter element at +30
  • initiator element around transcription start site

Questão 2

Questão
[blank_start]Sanger sequencing[blank_end] is an example of a first generation sequencing technology
Responda
  • Sanger sequencing

Questão 3

Questão
Sanger sequencing has been automated by fluorescent labelling
Responda
  • True
  • False

Questão 4

Questão
Which of the following are advantages of sanger sequencing?
Responda
  • high accuracy
  • good for short sequences
  • high throughput
  • cheap
  • long read length

Questão 5

Questão
select the technologies that are second generation sequencing methods
Responda
  • Sanger
  • 454 pyrosequencing
  • Ilumina
  • Ion torrent
  • nanopore
  • PacBio

Questão 6

Questão
Which of the following are limitations of 454 pyrosequencing?
Responda
  • slow sample preparation
  • lower throughput than sanger
  • shorter read lengths than sanger
  • homopolymer errors

Questão 7

Questão
A homopolymer error is a problem with base calling which there are multiple bases in a row as the signal does not increase with linearity
Responda
  • True
  • False

Questão 8

Questão
454 pyrosequencing and ion torrent use solid-phase bridge PCR
Responda
  • True
  • False

Questão 9

Questão
Ion torrent detects the incorporation of a base based on [blank_start]light[blank_end] whereas 454 pyrosequencing detects the incorporation of a base based on [blank_start]pH[blank_end]
Responda
  • pH
  • light

Questão 10

Questão
What are the advantages of third generation sequencing technologies?
Responda
  • High accuracy
  • high throughput
  • longer read length
  • Low cost
  • minimal sample preparation

Questão 11

Questão
[blank_start]human[blank_end] [blank_start]genome[blank_end] [blank_start]project[blank_end] [blank_start]encode[blank_end] and [blank_start]1000[blank_end] [blank_start]genomes[blank_end] [blank_start]project[blank_end] are all examples of large scale genome sequencing projects
Responda
  • human
  • genome
  • project
  • encode
  • 1000
  • genomes
  • project

Questão 12

Questão
[blank_start]shotgun[blank_end] [blank_start]sequencing[blank_end] is the most common sequencing approach for whole genomes
Responda
  • shotgun
  • sequencing

Questão 13

Questão
a [blank_start]contig[blank_end] is a set of overlapping DNA fragments that together represent a consensus region of DNA
Responda
  • contig
  • scaffold
  • read
  • coverage

Questão 14

Questão
the de bruijn graph method is a greedy method of assembly
Responda
  • True
  • False

Questão 15

Questão
[blank_start]k[blank_end] is the parameter used in the de bruijn graph assembly algorithm
Responda
  • k

Questão 16

Questão
sequence assembly can be...
Responda
  • ab initio
  • de novo
  • read mapping

Questão 17

Questão
Which of the following are de bruijn graph sequence assemblers?
Responda
  • Celera
  • GigAssembler
  • Velvet
  • SPAdes

Questão 18

Questão
Genomes always need to be finished
Responda
  • True
  • False

Questão 19

Questão
hybrid sequencing is an effective way of closing gaps in genome assembly as different technologies are biased in sequencing in different ways
Responda
  • True
  • False

Questão 20

Questão
in the equation N = (a x g) / L N is the [blank_start]reads[blank_end] a is the [blank_start]coverage[blank_end] g is the genome length and L is the read length
Responda
  • reads
  • coverage
  • genome length
  • read length
  • coverage
  • reads
  • genome length
  • read length

Questão 21

Questão
Which of the following are examples of challenges faced during sequence assembly?
Responda
  • sequencing errors
  • shotgun fragmenting is not random
  • repeated regions
  • computational power
  • throughput
  • cost

Questão 22

Questão
Why can't BLAST be used for short read mapping to assemble our reads using a reference genome?
Responda
  • it costs too much and is highly inaccurate
  • it is not compatible
  • it takes too long and is not good at finding close matches

Questão 23

Questão
when might short-read mapping be beneficial to use?
Responda
  • for RNA-sequencing experiments
  • for chipping experiments
  • to assemble a whole genome
  • to find open reading frames

Questão 24

Questão
[blank_start]Burrows[blank_end]-[blank_start]wheeler[blank_end] is the name of the algorithm which is used by mapping alignment packages such as Bowtie in order to convert the genome into a different format so matches can be easily found
Responda
  • Burrows
  • wheeler

Questão 25

Questão
We always need to assemble the genome in metagenomics experiments
Responda
  • True
  • False

Questão 26

Questão
raw sequencing data from sequencing experiments are saved in the sequence read archive
Responda
  • True
  • False

Questão 27

Questão
annotated sequence data from sequencing experiments are saved in GenBank and EMBL
Responda
  • True
  • False

Questão 28

Questão
Which of the following are legitimate methods of assessing a sequence assembly?
Responda
  • the N50 statistic
  • principle component analysis
  • average gap size
  • average number of gaps per scaffold
  • coverage
  • hierarchical clusterin

Questão 29

Questão
the N50 statistic is the length of the smallest contig in the set that contains the fewest contigs whose combined length represents 50% of the assembly
Responda
  • True
  • False

Questão 30

Questão
sequence annotation involves identifying...
Responda
  • read lengths
  • coverage
  • CDSs
  • promoters
  • ribosome binding sites
  • introns
  • exons

Questão 31

Questão
gene prediction involves finding UTRs and alternative splice isoforms
Responda
  • True
  • False

Questão 32

Questão
what are the 2 major approaches for gene finding?
Responda
  • ab initio
  • comparative proteomics
  • comparative genomics
  • de novo

Questão 33

Questão
ab initio gene finding approaches are more accurate for eukaryotes than prokaryotes
Responda
  • True
  • False

Questão 34

Questão
the gene finding tools Glimmer and GeneScan use [blank_start]hidden[blank_end] [blank_start]markov[blank_end] models
Responda
  • hidden
  • markov

Questão 35

Questão
which of the following make eukaryotic gene finding more difficult than prokaryotic gene finding?
Responda
  • high number of repeats
  • introns
  • exons
  • highly compact
  • alternative splicing

Questão 36

Questão
What measures can be used to assess gene prediction?
Responda
  • sensitivity
  • specificity
  • accuracy
  • N50 statistic

Questão 37

Questão
There is a trade-off when it comes to the specificity and sensitivity of gene prediction tools
Responda
  • True
  • False

Questão 38

Questão
[blank_start]prokka[blank_end] is a genome annotation pipeline good for prokaryotes and small eukaryotes
Responda
  • prokka
  • genescan
  • glimmer
  • genie

Questão 39

Questão
order the types of mutation in terms of relative frequency: 1. [blank_start]point[blank_end] 2. [blank_start]deletion[blank_end] 3. [blank_start]duplication[blank_end] 4. [blank_start]inversion[blank_end] 5. [blank_start]insertion[blank_end] 6. [blank_start]translocation[blank_end]
Responda
  • point
  • deletion
  • inversion
  • insertion
  • translocation
  • duplication
  • deletion
  • point
  • insertion
  • inversion
  • duplication
  • translocation
  • duplication
  • point
  • deletion
  • inversion
  • insertion
  • translocation
  • inversion
  • insertion
  • point
  • deletion
  • translocation
  • duplication
  • insertion
  • inversion
  • translocation
  • duplication
  • point
  • deletion
  • translocation
  • inversion
  • insertion
  • duplication
  • point
  • deletion

Questão 40

Questão
silent, missense and nonsense are all types of [blank_start]point[blank_end] mutation
Responda
  • point

Questão 41

Questão
nonsense mutations can be conservative or non-conservative (similar AA or not)
Responda
  • True
  • False

Questão 42

Questão
introns, intergenic regions and pseudogenes are highly conserved and intolerant to change
Responda
  • True
  • False

Questão 43

Questão
Gene duplicates experience relaxed evolutionary constraints
Responda
  • True
  • False

Questão 44

Questão
when does gene duplication occur in bacteria?
Responda
  • in response to favourable conditions
  • in response to stress
  • in response to an internal stimulus
  • linearly over evolutionary time

Questão 45

Questão
[blank_start]duplication[blank_end] is an essential mutation for evolutionary change to occur in eukaryotes
Responda
  • duplication
  • point mutation
  • inversion
  • insertion
  • deletion

Questão 46

Questão
gene duplication can lead to [blank_start]nonfunctionalisation[blank_end] [blank_start]neofunctionalisation[blank_end] or [blank_start]subfunctionalisation[blank_end]
Responda
  • nonfunctionalisation
  • neofunctionalisation
  • subfunctionalisation

Questão 47

Questão
which of the following are sources of variation in prokaryotes?
Responda
  • lateral gene transfer
  • endosymbiosis
  • mutations

Questão 48

Questão
genes that share a common ancestor are said to be what?
Responda
  • homologs
  • paralogs
  • orthologs
  • xenologs

Questão 49

Questão
genes that have diverged as a result of speciation are said to be what?
Responda
  • homologs
  • orthologs
  • paralogs
  • xenologs

Questão 50

Questão
genes within the same genome created as a result of gene duplication are said to be what?
Responda
  • homologs
  • orthologs
  • paralogs
  • xenologs

Questão 51

Questão
homology is a measure of similarity
Responda
  • True
  • False

Questão 52

Questão
which of the following are simplistic measure of similarity when it comes to measuring sequence similarity?
Responda
  • hamming distance
  • sequence identity
  • levenshtein distance
  • PAM250
  • BLOSUM62

Questão 53

Questão
what kind of mutations are more common?
Responda
  • point mutations
  • translocation mutations
  • amino acid substitutions tend to be conservative
  • single nucleotide or amino acid deletions
  • successive deletions of bases or amino acids
  • transversion mutations
  • transition mutations

Questão 54

Questão
PAM and BLOSUM are example of [blank_start]substitution[blank_end] [blank_start]matrices[blank_end]
Responda
  • substitution
  • matrices

Questão 55

Questão
1 PAM is 1% similarity
Responda
  • True
  • False

Questão 56

Questão
PAM is better for [blank_start]global[blank_end] alignments whilst BLOSUM is better for [blank_start]local[blank_end] alignments
Responda
  • global
  • local

Questão 57

Questão
BLOSUM matrices are derived from the [blank_start]BLOCKS[blank_end] database
Responda
  • BLOCKS

Questão 58

Questão
A higher PAM matrix will find weaker, longer alignments and a BLOSUM matrix with a higher number are better for similar sequences
Responda
  • True
  • False

Questão 59

Questão
A local alignment tries to align all the residues in a sequence
Responda
  • True
  • False

Questão 60

Questão
Dynamic programming is used for [blank_start]exact[blank_end] alignment methods
Responda
  • exact

Questão 61

Questão
Needleman-Wunsch is a [blank_start]global[blank_end] alignment algorithm
Responda
  • global

Questão 62

Questão
Smith-waterman is a local alignment algorithm
Responda
  • True
  • False

Questão 63

Questão
The trajectory refers to the traceback arrows in a trajectory table
Responda
  • True
  • False

Questão 64

Questão
BLAST and FASTA are examples of [blank_start]heuristic[blank_end] alignment methods
Responda
  • heuristic

Questão 65

Questão
Exact alignment methods are not guaranteed to find an optimal solution
Responda
  • True
  • False

Questão 66

Questão
K-tuple alignment methods are a family of approximate alignment methods, and BLAST is part of the family
Responda
  • True
  • False

Questão 67

Questão
a [blank_start]heuristic[blank_end] approach is taken with multiple sequence alignment because an exact approach has complexity O(L^N)
Responda
  • heuristic

Questão 68

Questão
progressive, iterative and statistical are all approaches used for [blank_start]MSA[blank_end]
Responda
  • MSA

Questão 69

Questão
Which of the following are examples of progressive alignment algorithms?
Responda
  • T-coffee
  • Clustal omega
  • Clustal W
  • Muscle

Questão 70

Questão
Which of the following algorithms takes a hybrid approach for multiple sequence alignment?
Responda
  • T-coffee
  • Muscle
  • Clustal omega
  • Clustal W

Questão 71

Questão
A [blank_start]motif[blank_end] is part of a protein sequence associated with a particular biological function
Responda
  • motif

Questão 72

Questão
A [blank_start]pattern[blank_end] is a qualitative description of a motif A [blank_start]profile[blank_end] is a quantitative description of a motif
Responda
  • profile
  • pattern
  • pattern
  • profile

Questão 73

Questão
Which of the following databases describe motifs in terms of pattern and profile?
Responda
  • Pfam
  • PROSITE
  • InterPro
  • GeneBank
  • EMBL
  • BLOCKS

Questão 74

Questão
PSI-BLAST is more powerful than BLAST for picking up distant relationships between sequences
Responda
  • True
  • False

Questão 75

Questão
in phylogenetics, masking an alignment involved looking for regions or conservation and removing data that does not appear homologous
Responda
  • True
  • False

Questão 76

Questão
Which of the following are examples of distance-based tree building methods?
Responda
  • Maximum likelihood
  • Maximum parsimony
  • UPGMA
  • WPGMA
  • Bayesian inference

Questão 77

Questão
[blank_start]Bootstrap[blank_end] [blank_start]values[blank_end] can be added to branches in phylogenetic trees to summarise the degree of certainty for a given branching
Responda
  • Bootstrap
  • values

Questão 78

Questão
[blank_start]WPGMA[blank_end] uses a flat average whilst UPGMA uses a weighted average that takes into account the number of taxa in a group
Responda
  • WPGMA

Questão 79

Questão
microarrays and RNA-sequencing are examples of what kind of experiments?
Responda
  • genomics
  • transcriptomics
  • proteomics
  • phylogenetics

Questão 80

Questão
[blank_start]normalisation[blank_end] aims to remove technical variation existing in microarray experiments
Responda
  • normalisation

Questão 81

Questão
Which of the following are methods for quality control to remove outliers from microarray experiments?
Responda
  • N50 statistic
  • hierarchical clustering
  • normalisation
  • principle component analysis
  • probeset QC
  • multiple testing correction

Questão 82

Questão
following a microarray experiment, probeset QC removes noise and uninformative data points (i.e close to the background level of detection)
Responda
  • True
  • False

Questão 83

Questão
[blank_start]Benjamin[blank_end]-[blank_start]Hochberg[blank_end] [blank_start]FDR[blank_end] is the most common multiple testing correction used in microarray, RNA-seq and proteomics experiments
Responda
  • Benjamin
  • Hochberg
  • FDR

Questão 84

Questão
Benjamin-Hochberg FDR modifies [blank_start]P[blank_end]-values
Responda
  • P

Questão 85

Questão
Which of the following are not advantages for RNA-seq experiments over microarrays?
Responda
  • can search for unknown genes
  • can detect very scarce transcripts
  • lower technical variation
  • lower background noise
  • can sequence whole proteome

Questão 86

Questão
[blank_start]Poly[blank_end]-[blank_start]A[blank_end] [blank_start]selection[blank_end] gets rid of uninteresting, abundant RNA such as rRNA and haemoglobin RNA in blood samples in preparation for RNA-seq experiment
Responda
  • Poly
  • A
  • selection

Questão 87

Questão
RNA-sequencing relies on reverse transcription
Responda
  • True
  • False

Questão 88

Questão
RNA-sequencing experiments are quantifiable - the sequencing reads in the library are proportional to the abundance of RNA
Responda
  • True
  • False

Questão 89

Questão
RPKM and FPKM are examples of [blank_start]normalisation[blank_end] tools used following an RNA-sequencing experiment
Responda
  • normalisation

Questão 90

Questão
T-tests can be used to analyse microarray and RNA-seq data as both are continuous
Responda
  • True
  • False

Questão 91

Questão
microarrays can be used to discover novel transcripts
Responda
  • True
  • False

Questão 92

Questão
transcriptomics is used instead of proteomics as the transcript level always correlates to the protein abundance
Responda
  • True
  • False

Questão 93

Questão
the two main approaches in expression proteomics experiments are [blank_start]bottom[blank_end] up and [blank_start]top[blank_end] down experiments
Responda
  • bottom
  • top

Questão 94

Questão
Which of the following are experimental strategies used in proteomics?
Responda
  • liquid chromatography tandem MS
  • 2DGE
  • Microarrays
  • RNA-sequencing

Questão 95

Questão
Which of the following are disadvantages of 2DGE?
Responda
  • expensive
  • time-consuming
  • limited sensitivity
  • limited resolution
  • low reproducibility

Questão 96

Questão
[blank_start]DIGE[blank_end] is a variation of 2DGE whereby multiple samples are ran on one gel but are differentially labelled to eliminate running difference between gels
Responda
  • DIGE

Questão 97

Questão
Technical variation is higher in microarrays and RNA-seq than 2DGE and liquid chromatography tandem MS
Responda
  • True
  • False

Questão 98

Questão
in 2DGE, proteins are separated based first on [blank_start]charge[blank_end] then on [blank_start]size[blank_end]
Responda
  • charge
  • size

Questão 99

Questão
progenesis is a software used in [blank_start]2DGE[blank_end] experiments
Responda
  • 2DGE
  • microarray
  • RNA-seq
  • HPLC

Questão 100

Questão
[blank_start]peptide[blank_end]-[blank_start]mass[blank_end] [blank_start]fingerprinting[blank_end] is used to identify which proteins are contained within spots on a gel from a 2DGE experiment
Responda
  • peptide
  • mass
  • fingerprinting

Questão 101

Questão
2DGE can be used to identify membrane proteins
Responda
  • True
  • False

Questão 102

Questão
2DGE cannot be used to show post-translational modifications
Responda
  • True
  • False

Questão 103

Questão
in a proteomics experiment, proteins are first isolated then digested using an enzyme such as [blank_start]trypsin[blank_end] as it cuts in a predictable ways
Responda
  • trypsin

Questão 104

Questão
in a peptide-mass fingerprinting experiment, resulting peak-lists can be the same for very similar proteins
Responda
  • True
  • False

Questão 105

Questão
in tandem MS, when fragments are introduced they are broken up by argon gas, which preferentially breaks peptide bonds
Responda
  • True
  • False

Questão 106

Questão
Which of the following databases of hypothetical spectra is used to identify peptides from an MS experiment?
Responda
  • Genescan
  • InterPro
  • MASCOT
  • BLOCKS
  • PRINTS
  • iTRAQ

Questão 107

Questão
the intensity of peaks in MS can be used to quantify proteins
Responda
  • True
  • False

Questão 108

Questão
[blank_start]hydrophobicity[blank_end] is the main driving force of protein folding process
Responda
  • hydrophobicity

Questão 109

Questão
secondary structure refers to global interactions within a protein
Responda
  • True
  • False

Questão 110

Questão
[blank_start]alpha[blank_end] helix, [blank_start]beta[blank_end] sheet and [blank_start]coil[blank_end] are the 3 secondary structure states
Responda
  • coil
  • alpha
  • beta

Questão 111

Questão
protein [blank_start]domains[blank_end] are subunits within a protein with quasi-independent folding stability
Responda
  • domains

Questão 112

Questão
the [blank_start]quaternary[blank_end] structure refers to proteins formed from several subunits or monomers
Responda
  • quaternary

Questão 113

Questão
protein structures solved by NMR or crystallography are saved as [blank_start]PBD[blank_end] files
Responda
  • PBD

Questão 114

Questão
a [blank_start]Ramachandran[blank_end] [blank_start]plot[blank_end] visualises and clusters residues of an amino acid sequence based on psi and phi angles of the residue backbone
Responda
  • Ramachandran
  • plot

Questão 115

Questão
CATH, SCOP and FSSP/DDD are all examples of what?
Responda
  • tertiary structure classification methods
  • protein structure prediction assessment
  • databases containing sequence information
  • protein data banks

Questão 116

Questão
the levels of hierarchy in the CATH system to catalogue proteins are ordered from bottom to top as follows: 1. [blank_start]class[blank_end] 2. [blank_start]architecture[blank_end] 3. [blank_start]fold[blank_end] 4. [blank_start]superfamily[blank_end] 5. [blank_start]domain[blank_end]
Responda
  • class
  • domain
  • architecture
  • superfamily
  • fold
  • architecture
  • class
  • domain
  • fold
  • superfamily
  • fold
  • domain
  • class
  • architecture
  • superfamily
  • superfamily
  • architecture
  • domain
  • class
  • fold
  • domain
  • class
  • architecture
  • fold
  • superfamily

Questão 117

Questão
mainly alpha and mainly beta are examples of CATH folds
Responda
  • True
  • False

Questão 118

Questão
3D protein structure prediction is treated as a machine learning problem
Responda
  • True
  • False

Questão 119

Questão
machine learning in the context of protein structure prediction aims to minimise the energy function
Responda
  • True
  • False

Questão 120

Questão
Dynamic programming is an optimisation method
Responda
  • True
  • False

Questão 121

Questão
Which of the following are types of machine learning?
Responda
  • Hidden markov models
  • artificial neural networks
  • rule learning
  • position specific scoring
  • multiple testing correction

Questão 122

Questão
a [blank_start]PSSM[blank_end] is similar to a substitution matrix but specifically tailored to the sequence being aligned
Responda
  • PSSM

Questão 123

Questão
[blank_start]PSIPRED[blank_end] is the most popular secondary structure prediction software
Responda
  • PSIPRED

Questão 124

Questão
PSIPRED uses hidden markov models
Responda
  • True
  • False

Questão 125

Questão
[blank_start]contact[blank_end] [blank_start]number[blank_end] is the number of connections a residue in a protein has
Responda
  • contact
  • number

Questão 126

Questão
[blank_start]solvent[blank_end] [blank_start]accessibility[blank_end] is the amount of surface exposed of each residue
Responda
  • solvent
  • accessibility

Questão 127

Questão
which of the following are the broad approaches for 3D PSP?
Responda
  • De novo
  • Ab initio
  • template-based
  • machine learning

Questão 128

Questão
which 3 ways can a template by identified for 3D PSP?
Responda
  • homology modelling
  • profile-base methods
  • machine learning
  • threading
  • ab initio modelling

Questão 129

Questão
Fold recognition is used to identify a template with high structural similarity but low sequence identity with the target protein, when homology modelling is not an option
Responda
  • True
  • False

Questão 130

Questão
in 3D PSP, profile-based methods make profiles for residues in a sequence based on...
Responda
  • secondary structure
  • hydrophobicity
  • acidity
  • solvent accessibility
  • tertiary structure

Questão 131

Questão
in 3D PSP, fragment assembly combines [blank_start]homology[blank_end] [blank_start]modelling[blank_end] with [blank_start]ab[blank_end] [blank_start]initio[blank_end] methods
Responda
  • homology
  • modelling
  • ab
  • initio

Questão 132

Questão
in fragment assembly, [blank_start]decoys[blank_end] are candidate structure generated from all the possible combinations of fragments. They energy minimisation process is applied to them and they are clustered. The final models are selected from the centre of this cluster,
Responda
  • decoys

Questão 133

Questão
I-Tasser is a [blank_start]pipeline[blank_end] used for protein structure prediction
Responda
  • pipeline

Questão 134

Questão
a network is a graph consisting of a series of [blank_start]nodes[blank_end] connect by [blank_start]edges[blank_end]
Responda
  • nodes
  • edges

Questão 135

Questão
in a biological network, genes, proteins and cell types can be depicted as [blank_start]nodes[blank_end]
Responda
  • nodes

Questão 136

Questão
in a network, sink nodes have high in degree and sources have a high out degree
Responda
  • True
  • False

Questão 137

Questão
Which of the following is not a type of degree distribution in a network?
Responda
  • constant
  • scale-free
  • random
  • betweenness

Questão 138

Questão
In a network, the distance can be defined by Pajek or Watts
Responda
  • True
  • False

Questão 139

Questão
The longest shortest path between all pairs of nodes is...
Responda
  • Pajeks diameter
  • Pajeks distance
  • Watts diameter
  • Watts distance

Questão 140

Questão
the [blank_start]density[blank_end] is defined by the number of edges as a fraction of the number of possible edges
Responda
  • density

Questão 141

Questão
Which of the following are measures of centrality of a network?
Responda
  • degree
  • betweenness
  • closeness
  • distance
  • diameter

Questão 142

Questão
The betweenness centrality is a fraction of the shortest paths of the network for which a certain node is a member of
Responda
  • True
  • False

Questão 143

Questão
[blank_start]closeness[blank_end] [blank_start]centrality[blank_end] rewards nodes from which within a few edges, any node can be accessed
Responda
  • closeness
  • centrality

Questão 144

Questão
a random Boolean network is undirected
Responda
  • True
  • False

Questão 145

Questão
A random Boolean network can be used to study dynamic processes such as gene expression
Responda
  • True
  • False

Questão 146

Questão
an [blank_start]integrated[blank_end] network uses data from high-quality databases such as BioGrid as well as our own experimental data
Responda
  • integrated

Questão 147

Questão
Gene co-expression networks are built using [blank_start]guilt[blank_end] by [blank_start]association[blank_end]
Responda
  • guilt
  • association

Questão 148

Questão
In gene co-expression networks, similarity in expression across samples is usually computed by
Responda
  • pearson's correlation
  • principle component analysis
  • guilt-by-association
  • force

Questão 149

Questão
A gene co-prediction network relies on a set of rules and an edge connects genes that co-predict with high frequency
Responda
  • True
  • False

Questão 150

Questão
PathExpand and TopoGSA are examples of network [blank_start]refinement[blank_end] packages
Responda
  • refinement

Questão 151

Questão
force, arc, circular and hive are all examples of network [blank_start]layout[blank_end]
Responda
  • layout

Questão 152

Questão
An Arc network is more scalable than a Hive network
Responda
  • True
  • False

Questão 153

Questão
community detection is also known as [blank_start]clustering[blank_end]
Responda
  • clustering

Questão 154

Questão
[blank_start]clustering[blank_end] identifies sub-parts of a network with many connections and often reflect meaningful modules within the network organisation i.e cellular machinery or biological processes
Responda
  • clustering

Questão 155

Questão
[blank_start]ontologies[blank_end] represent relationships in a computationally amenable way by providing controlled vocabulary of terms
Responda
  • ontologies

Questão 156

Questão
Which of the following are ontologies used by GO to describe the associations of gene products
Responda
  • biological processes
  • cellular components
  • 3D structure
  • interaction partners
  • molecular functions

Questão 157

Questão
there are [blank_start]20[blank_end] amino acids used in biological systems
Responda
  • 20

Questão 158

Questão
Which of the following is not commonly used to assess sequencing methods?
Responda
  • read length
  • throughput
  • cost per base
  • cost of the machine
  • sample size

Questão 159

Questão
Which of the following is not a database combined in the INSDC major collection point for sequencing data?
Responda
  • EMBL-EBI
  • NCBI
  • NIG
  • GenBank

Questão 160

Questão
Sanger, 454, ion torrent and ilumina sequencing all sequence by [blank_start]synthesis[blank_end]
Responda
  • synthesis

Questão 161

Questão
Third generation sequencing involves a PCR step
Responda
  • True
  • False

Questão 162

Questão
the current gold-standard for shotgun sequencing assembly is a [blank_start]100[blank_end]-fold coverage
Responda
  • 100

Questão 163

Questão
Which of the following is not a reason for making sequence assembly difficult?
Responda
  • biased sequence composition
  • homopolymers
  • repeats
  • long reads

Questão 164

Questão
coverage assumes that DNA is randomly fragmented and all DNA is able to be sequenced.
Responda
  • True
  • False

Questão 165

Questão
the coverage equation often underestimates the number of reads necessary
Responda
  • True
  • False

Questão 166

Questão
silent mutations usually occur in the [blank_start]3rd[blank_end] base of a [blank_start]codon[blank_end]
Responda
  • 3rd
  • codon

Questão 167

Questão
[blank_start]xenologous[blank_end] genes are those which are homologous and have been gained via horizontal gene transfer
Responda
  • xenologous

Questão 168

Questão
in sequence alignments a [blank_start]:[blank_end] represents a perfect match, a [blank_start].[blank_end] represents a similar AA and a blank space represents a larger AA change
Responda
  • :
  • .

Questão 169

Questão
Heuristic alignment methods are better when computational power is not a problem or for a small number of sequences
Responda
  • True
  • False

Questão 170

Questão
in a BLAST search, the number of hits one can expect to see by chance when searching a database of a particular size is defined by the [blank_start]E[blank_end]-[blank_start]value[blank_end]
Responda
  • E
  • value

Questão 171

Questão
in a MSA, the alignment table can be summarised in a single line, a pseudo sequence called the [blank_start]consensus[blank_end]
Responda
  • consensus

Questão 172

Questão
A MSA algorithm which starts with a complete MSA, makes changes, computes score, keeps the MSA if the score is better then repeats is known as an [blank_start]iterative[blank_end] method
Responda
  • iterative

Questão 173

Questão
In a progression MSA, the original mapping can be changed
Responda
  • True
  • False

Questão 174

Questão
progressive multiple sequence alignment strategies use pairwise alignments
Responda
  • True
  • False

Questão 175

Questão
the muscle MSA alignment method uses the [blank_start]kimura[blank_end] [blank_start]distance[blank_end] matrix to make a global alignment during the improved progressive alignment
Responda
  • kimura
  • distance

Questão 176

Questão
muscle uses WPGMA to make alignments
Responda
  • True
  • False

Questão 177

Questão
a [blank_start]profile[blank_end] can be incorporated into MSA and PSP algorithms to give better results
Responda
  • profile

Questão 178

Questão
PSI-BLAST uses a position-specific scoring matrix
Responda
  • True
  • False

Questão 179

Questão
UPGMA can be fitted with an evolutionary model
Responda
  • True
  • False

Questão 180

Questão
microarrays assay gene expression by quantification of mRNA using hybridisation
Responda
  • True
  • False

Questão 181

Questão
[blank_start]quantile[blank_end] normalisation is a method of normalisation which ranks data, then takes the median value for each rank and replace the original values with the ranked averages
Responda
  • quantile

Questão 182

Questão
principle component analysis reduces multi-dimensional data down to [blank_start]2[blank_end] dimensions
Responda
  • 2

Questão 183

Questão
when analysing microarray data, multiple testing correction controls for the error rate due to false positives being produced by multiple T-tests
Responda
  • True
  • False

Questão 184

Questão
which of the following does not encompass the same methods between microarrays and RNA-seq?
Responda
  • normalisation
  • quality control
  • statistical analysis

Questão 185

Questão
when analysing data from an RNA-seq experiment, DE-seq assumes a [blank_start]negative[blank_end] [blank_start]binomial[blank_end] distribution
Responda
  • negative
  • binomial

Questão 186

Questão
organisms have 1 genome and 1 proteome
Responda
  • True
  • False

Questão 187

Questão
in 2DGE, there is a pH gradient running left to right. Where a protein is positioned depends on its [blank_start]isoelectric[blank_end] [blank_start]point[blank_end]
Responda
  • isoelectric
  • point

Questão 188

Questão
in 2DGE, it is valid to compare spots between gels if the spot is absent on one of the gels
Responda
  • True
  • False

Questão 189

Questão
Sensitivity is good in 2DGE as the dye is linearly incorporated
Responda
  • True
  • False

Questão 190

Questão
LC-MS can be multidimensional, separating proteins based on more than 2 physiochemical properties
Responda
  • True
  • False

Questão 191

Questão
iTRAQ is used to label samples in order to quantify them. Tags are made up of an [blank_start]ester[blank_end] group to tag to the protein, a [blank_start]reporter[blank_end] of varying sizes and a [blank_start]balancer[blank_end] to balance the mass
Responda
  • ester
  • reporter
  • balancer

Questão 192

Questão
when using iTRAQ to quantify proteins during LC-MS, the balancer moiety is measured - when there is a more balancer moiety, there is a higher peak and therefore more peptide.
Responda
  • True
  • False

Questão 193

Questão
iTRAQ is a relative quantification method in LC-MS
Responda
  • True
  • False

Questão 194

Questão
data from LC-MS experiments have been locked in [blank_start]proprietary[blank_end] [blank_start]boxes[blank_end] up until recently, meaning that specialist software was required to view and analyse data depending on the technology used.
Responda
  • proprietary
  • boxes

Questão 195

Questão
spot profiles for LC-MS data can be clustered [blank_start]statistically[blank_end] based on how similar their expression profiles are or [blank_start]functionally[blank_end] based on how similar their function are
Responda
  • statistically
  • functionally

Questão 196

Questão
the function of a protein depends on its [blank_start]structure[blank_end]
Responda
  • structure

Questão 197

Questão
a beta hairpin is an example of a [blank_start]supersecondary[blank_end] structure
Responda
  • supersecondary
  • secondary
  • tertiary
  • CATH
  • primary
  • domain

Questão 198

Questão
which of the following is not an example of a structural property of an individual residue that can be predicted
Responda
  • supersecondary structure
  • secondary structure
  • solvent accessibility
  • contact number
  • whether it is exposed on the surface

Questão 199

Questão
predicting structural aspects of protein residues is generally treated as an optimisation problem
Responda
  • True
  • False

Questão 200

Questão
[blank_start]scaffolding[blank_end] is a technique used to link together non-contiguous series of genomic DNA
Responda
  • scaffolding

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