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Which of the following are sequence elements that algorithms can exploit to search for genes in a prokaryotic genome?
Antworten
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TFIIB recognition element
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TATA box at -10
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ATG start codon
-
STOP codon
-
downstream core promoter element at +30
-
initiator element around transcription start site
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[blank_start]Sanger sequencing[blank_end] is an example of a first generation sequencing technology
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Sanger sequencing has been automated by fluorescent labelling
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Which of the following are advantages of sanger sequencing?
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-
high accuracy
-
good for short sequences
-
high throughput
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cheap
-
long read length
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select the technologies that are second generation sequencing methods
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-
Sanger
-
454 pyrosequencing
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Ilumina
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Ion torrent
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nanopore
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PacBio
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Which of the following are limitations of 454 pyrosequencing?
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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
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454 pyrosequencing and ion torrent use solid-phase bridge PCR
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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]
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What are the advantages of third generation sequencing technologies?
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[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
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-
human
-
genome
-
project
-
encode
-
1000
-
genomes
-
project
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[blank_start]shotgun[blank_end] [blank_start]sequencing[blank_end] is the most common sequencing approach for whole genomes
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a [blank_start]contig[blank_end] is a set of overlapping DNA fragments that together represent a consensus region of DNA
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contig
-
scaffold
-
read
-
coverage
Frage 14
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the de bruijn graph method is a greedy method of assembly
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[blank_start]k[blank_end] is the parameter used in the de bruijn graph assembly algorithm
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sequence assembly can be...
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-
ab initio
-
de novo
-
read mapping
Frage 17
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Which of the following are de bruijn graph sequence assemblers?
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Celera
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GigAssembler
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Velvet
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SPAdes
Frage 18
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Genomes always need to be finished
Frage 19
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hybrid sequencing is an effective way of closing gaps in genome assembly as different technologies are biased in sequencing in different ways
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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
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-
reads
-
coverage
-
genome length
-
read length
-
coverage
-
reads
-
genome length
-
read length
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Which of the following are examples of challenges faced during sequence assembly?
Frage 22
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Why can't BLAST be used for short read mapping to assemble our reads using a reference genome?
Frage 23
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when might short-read mapping be beneficial to use?
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for RNA-sequencing experiments
-
for chipping experiments
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to assemble a whole genome
-
to find open reading frames
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[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
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We always need to assemble the genome in metagenomics experiments
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raw sequencing data from sequencing experiments are saved in the sequence read archive
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annotated sequence data from sequencing experiments are saved in GenBank and EMBL
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Which of the following are legitimate methods of assessing a sequence assembly?
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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
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sequence annotation involves identifying...
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read lengths
-
coverage
-
CDSs
-
promoters
-
ribosome binding sites
-
introns
-
exons
Frage 31
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gene prediction involves finding UTRs and alternative splice isoforms
Frage 32
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what are the 2 major approaches for gene finding?
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-
ab initio
-
comparative proteomics
-
comparative genomics
-
de novo
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ab initio gene finding approaches are more accurate for eukaryotes than prokaryotes
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the gene finding tools Glimmer and GeneScan use [blank_start]hidden[blank_end] [blank_start]markov[blank_end] models
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which of the following make eukaryotic gene finding more difficult than prokaryotic gene finding?
Antworten
-
high number of repeats
-
introns
-
exons
-
highly compact
-
alternative splicing
Frage 36
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What measures can be used to assess gene prediction?
Antworten
-
sensitivity
-
specificity
-
accuracy
-
N50 statistic
Frage 37
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There is a trade-off when it comes to the specificity and sensitivity of gene prediction tools
Frage 38
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[blank_start]prokka[blank_end] is a genome annotation pipeline good for prokaryotes and small eukaryotes
Antworten
-
prokka
-
genescan
-
glimmer
-
genie
Frage 39
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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]
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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
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silent, missense and nonsense are all types of [blank_start]point[blank_end] mutation
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nonsense mutations can be conservative or non-conservative (similar AA or not)
Frage 42
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introns, intergenic regions and pseudogenes are highly conserved and intolerant to change
Frage 43
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Gene duplicates experience relaxed evolutionary constraints
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when does gene duplication occur in bacteria?
Antworten
-
in response to favourable conditions
-
in response to stress
-
in response to an internal stimulus
-
linearly over evolutionary time
Frage 45
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[blank_start]duplication[blank_end] is an essential mutation for evolutionary change to occur in eukaryotes
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duplication
-
point mutation
-
inversion
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insertion
-
deletion
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gene duplication can lead to [blank_start]nonfunctionalisation[blank_end] [blank_start]neofunctionalisation[blank_end] or [blank_start]subfunctionalisation[blank_end]
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nonfunctionalisation
-
neofunctionalisation
-
subfunctionalisation
Frage 47
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which of the following are sources of variation in prokaryotes?
Antworten
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lateral gene transfer
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endosymbiosis
-
mutations
Frage 48
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genes that share a common ancestor are said to be what?
Antworten
-
homologs
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paralogs
-
orthologs
-
xenologs
Frage 49
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genes that have diverged as a result of speciation are said to be what?
Antworten
-
homologs
-
orthologs
-
paralogs
-
xenologs
Frage 50
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genes within the same genome created as a result of gene duplication are said to be what?
Antworten
-
homologs
-
orthologs
-
paralogs
-
xenologs
Frage 51
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homology is a measure of similarity
Frage 52
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which of the following are simplistic measure of similarity when it comes to measuring sequence similarity?
Antworten
-
hamming distance
-
sequence identity
-
levenshtein distance
-
PAM250
-
BLOSUM62
Frage 53
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what kind of mutations are more common?
Antworten
-
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
Frage 54
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PAM and BLOSUM are example of [blank_start]substitution[blank_end] [blank_start]matrices[blank_end]
Frage 55
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1 PAM is 1% similarity
Frage 56
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PAM is better for [blank_start]global[blank_end] alignments whilst BLOSUM is better for [blank_start]local[blank_end] alignments
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BLOSUM matrices are derived from the [blank_start]BLOCKS[blank_end] database
Frage 58
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A higher PAM matrix will find weaker, longer alignments and a BLOSUM matrix with a higher number are better for similar sequences
Frage 59
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A local alignment tries to align all the residues in a sequence
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Dynamic programming is used for [blank_start]exact[blank_end] alignment methods
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Needleman-Wunsch is a [blank_start]global[blank_end] alignment algorithm
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Smith-waterman is a local alignment algorithm
Frage 63
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The trajectory refers to the traceback arrows in a trajectory table
Frage 64
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BLAST and FASTA are examples of [blank_start]heuristic[blank_end] alignment methods
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Exact alignment methods are not guaranteed to find an optimal solution
Frage 66
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K-tuple alignment methods are a family of approximate alignment methods, and BLAST is part of the family
Frage 67
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a [blank_start]heuristic[blank_end] approach is taken with multiple sequence alignment because an exact approach has complexity O(L^N)
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progressive, iterative and statistical are all approaches used for [blank_start]MSA[blank_end]
Frage 69
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Which of the following are examples of progressive alignment algorithms?
Antworten
-
T-coffee
-
Clustal omega
-
Clustal W
-
Muscle
Frage 70
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Which of the following algorithms takes a hybrid approach for multiple sequence alignment?
Antworten
-
T-coffee
-
Muscle
-
Clustal omega
-
Clustal W
Frage 71
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A [blank_start]motif[blank_end] is part of a protein sequence associated with a particular biological function
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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
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-
profile
-
pattern
-
pattern
-
profile
Frage 73
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Which of the following databases describe motifs in terms of pattern and profile?
Antworten
-
Pfam
-
PROSITE
-
InterPro
-
GeneBank
-
EMBL
-
BLOCKS
Frage 74
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PSI-BLAST is more powerful than BLAST for picking up distant relationships between sequences
Frage 75
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in phylogenetics, masking an alignment involved looking for regions or conservation and removing data that does not appear homologous
Frage 76
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Which of the following are examples of distance-based tree building methods?
Antworten
-
Maximum likelihood
-
Maximum parsimony
-
UPGMA
-
WPGMA
-
Bayesian inference
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[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
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[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
Frage 79
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microarrays and RNA-sequencing are examples of what kind of experiments?
Antworten
-
genomics
-
transcriptomics
-
proteomics
-
phylogenetics
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[blank_start]normalisation[blank_end] aims to remove technical variation existing in microarray experiments
Frage 81
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Which of the following are methods for quality control to remove outliers from microarray experiments?
Frage 82
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following a microarray experiment, probeset QC removes noise and uninformative data points (i.e close to the background level of detection)
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[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
Frage 84
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Benjamin-Hochberg FDR modifies [blank_start]P[blank_end]-values
Frage 85
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Which of the following are not advantages for RNA-seq experiments over microarrays?
Antworten
-
can search for unknown genes
-
can detect very scarce transcripts
-
lower technical variation
-
lower background noise
-
can sequence whole proteome
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[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
Frage 87
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RNA-sequencing relies on reverse transcription
Frage 88
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RNA-sequencing experiments are quantifiable - the sequencing reads in the library are proportional to the abundance of RNA
Frage 89
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RPKM and FPKM are examples of [blank_start]normalisation[blank_end] tools used following an RNA-sequencing experiment
Frage 90
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T-tests can be used to analyse microarray and RNA-seq data as both are continuous
Frage 91
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microarrays can be used to discover novel transcripts
Frage 92
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transcriptomics is used instead of proteomics as the transcript level always correlates to the protein abundance
Frage 93
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the two main approaches in expression proteomics experiments are [blank_start]bottom[blank_end] up and [blank_start]top[blank_end] down experiments
Frage 94
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Which of the following are experimental strategies used in proteomics?
Frage 95
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Which of the following are disadvantages of 2DGE?
Antworten
-
expensive
-
time-consuming
-
limited sensitivity
-
limited resolution
-
low reproducibility
Frage 96
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[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
Frage 97
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Technical variation is higher in microarrays and RNA-seq than 2DGE and liquid chromatography tandem MS
Frage 98
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in 2DGE, proteins are separated based first on [blank_start]charge[blank_end] then on [blank_start]size[blank_end]
Frage 99
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progenesis is a software used in [blank_start]2DGE[blank_end] experiments
Antworten
-
2DGE
-
microarray
-
RNA-seq
-
HPLC
Frage 100
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[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
Antworten
-
peptide
-
mass
-
fingerprinting
Frage 101
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2DGE can be used to identify membrane proteins
Frage 102
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2DGE cannot be used to show post-translational modifications
Frage 103
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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
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in a peptide-mass fingerprinting experiment, resulting peak-lists can be the same for very similar proteins
Frage 105
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in tandem MS, when fragments are introduced they are broken up by argon gas, which preferentially breaks peptide bonds
Frage 106
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Which of the following databases of hypothetical spectra is used to identify peptides from an MS experiment?
Antworten
-
Genescan
-
InterPro
-
MASCOT
-
BLOCKS
-
PRINTS
-
iTRAQ
Frage 107
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the intensity of peaks in MS can be used to quantify proteins
Frage 108
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[blank_start]hydrophobicity[blank_end] is the main driving force of protein folding process
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secondary structure refers to global interactions within a protein
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[blank_start]alpha[blank_end] helix, [blank_start]beta[blank_end] sheet and [blank_start]coil[blank_end] are the 3 secondary structure states
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protein [blank_start]domains[blank_end] are subunits within a protein with quasi-independent folding stability
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the [blank_start]quaternary[blank_end] structure refers to proteins formed from several subunits or monomers
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protein structures solved by NMR or crystallography are saved as [blank_start]PBD[blank_end] files
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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
Frage 115
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CATH, SCOP and FSSP/DDD are all examples of what?
Antworten
-
tertiary structure classification methods
-
protein structure prediction assessment
-
databases containing sequence information
-
protein data banks
Frage 116
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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]
Antworten
-
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
Frage 117
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mainly alpha and mainly beta are examples of CATH folds
Frage 118
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3D protein structure prediction is treated as a machine learning problem
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machine learning in the context of protein structure prediction aims to minimise the energy function
Frage 120
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Dynamic programming is an optimisation method
Frage 121
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Which of the following are types of machine learning?
Antworten
-
Hidden markov models
-
artificial neural networks
-
rule learning
-
position specific scoring
-
multiple testing correction
Frage 122
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a [blank_start]PSSM[blank_end] is similar to a substitution matrix but specifically tailored to the sequence being aligned
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[blank_start]PSIPRED[blank_end] is the most popular secondary structure prediction software
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PSIPRED uses hidden markov models
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[blank_start]contact[blank_end] [blank_start]number[blank_end] is the number of connections a residue in a protein has
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[blank_start]solvent[blank_end] [blank_start]accessibility[blank_end] is the amount of surface exposed of each residue
Frage 127
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which of the following are the broad approaches for 3D PSP?
Antworten
-
De novo
-
Ab initio
-
template-based
-
machine learning
Frage 128
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which 3 ways can a template by identified for 3D PSP?
Antworten
-
homology modelling
-
profile-base methods
-
machine learning
-
threading
-
ab initio modelling
Frage 129
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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
Frage 130
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in 3D PSP, profile-based methods make profiles for residues in a sequence based on...
Antworten
-
secondary structure
-
hydrophobicity
-
acidity
-
solvent accessibility
-
tertiary structure
Frage 131
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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
Antworten
-
homology
-
modelling
-
ab
-
initio
Frage 132
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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,
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I-Tasser is a [blank_start]pipeline[blank_end] used for protein structure prediction
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a network is a graph consisting of a series of [blank_start]nodes[blank_end] connect by [blank_start]edges[blank_end]
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in a biological network, genes, proteins and cell types can be depicted as [blank_start]nodes[blank_end]
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in a network, sink nodes have high in degree and sources have a high out degree
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Which of the following is not a type of degree distribution in a network?
Antworten
-
constant
-
scale-free
-
random
-
betweenness
Frage 138
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In a network, the distance can be defined by Pajek or Watts
Frage 139
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The longest shortest path between all pairs of nodes is...
Antworten
-
Pajeks diameter
-
Pajeks distance
-
Watts diameter
-
Watts distance
Frage 140
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the [blank_start]density[blank_end] is defined by the number of edges as a fraction of the number of possible edges
Frage 141
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Which of the following are measures of centrality of a network?
Antworten
-
degree
-
betweenness
-
closeness
-
distance
-
diameter
Frage 142
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The betweenness centrality is a fraction of the shortest paths of the network for which a certain node is a member of
Frage 143
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[blank_start]closeness[blank_end] [blank_start]centrality[blank_end] rewards nodes from which within a few edges, any node can be accessed
Frage 144
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a random Boolean network is undirected
Frage 145
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A random Boolean network can be used to study dynamic processes such as gene expression
Frage 146
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an [blank_start]integrated[blank_end] network uses data from high-quality databases such as BioGrid as well as our own experimental data
Frage 147
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Gene co-expression networks are built using [blank_start]guilt[blank_end] by [blank_start]association[blank_end]
Frage 148
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In gene co-expression networks, similarity in expression across samples is usually computed by
Frage 149
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A gene co-prediction network relies on a set of rules and an edge connects genes that co-predict with high frequency
Frage 150
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PathExpand and TopoGSA are examples of network [blank_start]refinement[blank_end] packages
Frage 151
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force, arc, circular and hive are all examples of network [blank_start]layout[blank_end]
Frage 152
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An Arc network is more scalable than a Hive network
Frage 153
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community detection is also known as [blank_start]clustering[blank_end]
Frage 154
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[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
Frage 155
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[blank_start]ontologies[blank_end] represent relationships in a computationally amenable way by providing controlled vocabulary of terms
Frage 156
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Which of the following are ontologies used by GO to describe the associations of gene products
Antworten
-
biological processes
-
cellular components
-
3D structure
-
interaction partners
-
molecular functions
Frage 157
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there are [blank_start]20[blank_end] amino acids used in biological systems
Frage 158
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Which of the following is not commonly used to assess sequencing methods?
Antworten
-
read length
-
throughput
-
cost per base
-
cost of the machine
-
sample size
Frage 159
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Which of the following is not a database combined in the INSDC major collection point for sequencing data?
Antworten
-
EMBL-EBI
-
NCBI
-
NIG
-
GenBank
Frage 160
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Sanger, 454, ion torrent and ilumina sequencing all sequence by [blank_start]synthesis[blank_end]
Frage 161
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Third generation sequencing involves a PCR step
Frage 162
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the current gold-standard for shotgun sequencing assembly is a [blank_start]100[blank_end]-fold coverage
Frage 163
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Which of the following is not a reason for making sequence assembly difficult?
Frage 164
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coverage assumes that DNA is randomly fragmented and all DNA is able to be sequenced.
Frage 165
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the coverage equation often underestimates the number of reads necessary
Frage 166
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silent mutations usually occur in the [blank_start]3rd[blank_end] base of a [blank_start]codon[blank_end]
Frage 167
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[blank_start]xenologous[blank_end] genes are those which are homologous and have been gained via horizontal gene transfer
Frage 168
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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
Frage 169
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Heuristic alignment methods are better when computational power is not a problem or for a small number of sequences
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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]
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in a MSA, the alignment table can be summarised in a single line, a pseudo sequence called the [blank_start]consensus[blank_end]
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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
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In a progression MSA, the original mapping can be changed
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progressive multiple sequence alignment strategies use pairwise alignments
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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
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muscle uses WPGMA to make alignments
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a [blank_start]profile[blank_end] can be incorporated into MSA and PSP algorithms to give better results
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PSI-BLAST uses a position-specific scoring matrix
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UPGMA can be fitted with an evolutionary model
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microarrays assay gene expression by quantification of mRNA using hybridisation
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[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
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principle component analysis reduces multi-dimensional data down to [blank_start]2[blank_end] dimensions
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when analysing microarray data, multiple testing correction controls for the error rate due to false positives being produced by multiple T-tests
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which of the following does not encompass the same methods between microarrays and RNA-seq?
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normalisation
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quality control
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statistical analysis
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when analysing data from an RNA-seq experiment, DE-seq assumes a [blank_start]negative[blank_end] [blank_start]binomial[blank_end] distribution
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organisms have 1 genome and 1 proteome
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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]
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in 2DGE, it is valid to compare spots between gels if the spot is absent on one of the gels
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Sensitivity is good in 2DGE as the dye is linearly incorporated
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LC-MS can be multidimensional, separating proteins based on more than 2 physiochemical properties
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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
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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.
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iTRAQ is a relative quantification method in LC-MS
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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.
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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
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statistically
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functionally
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the function of a protein depends on its [blank_start]structure[blank_end]
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a beta hairpin is an example of a [blank_start]supersecondary[blank_end] structure
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supersecondary
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secondary
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tertiary
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CATH
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primary
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domain
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which of the following is not an example of a structural property of an individual residue that can be predicted
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predicting structural aspects of protein residues is generally treated as an optimisation problem
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[blank_start]scaffolding[blank_end] is a technique used to link together non-contiguous series of genomic DNA