Bioinformatics Flashcards

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1
Q

What is bioinformatics?

A

Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to analyze biological data, particularly genomic data, using computational tools and techniques.

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2
Q

What does bioinformatics typically involve in the context of agricultural microbiology?

A

Bioinformatics in agricultural microbiology involves studying bacteria, fungi, or viruses using molecular techniques to analyze genomic composition, transcriptomes, metabolomics, and microbiomes.

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3
Q

What is sequencing?

A

Sequencing is the process of determining the precise order of nucleotides (A, T, C, G for DNA; A, U, C, G for RNA) in a DNA or RNA molecule.

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4
Q

Describe Sanger sequencing.

A

Sanger sequencing uses labeled dideoxy nucleotides (ddNTPs) to sequence DNA. It involves PCR amplification, separation of fragments by gel electrophoresis, and visual reading of a chromatogram to determine the sequence.

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5
Q

What is the key advantage of Sanger sequencing?

A

Sanger sequencing provides accurate sequencing results for smaller DNA fragments (up to ~1000 bases) and is useful for confirming PCR products or genotyping.

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6
Q

What is next generation sequencing (NGS)?

A

Next generation sequencing refers to modern sequencing technologies that allow for high-throughput sequencing of millions of DNA fragments simultaneously, providing more comprehensive genomic data compared to Sanger sequencing.

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7
Q

Differentiate between short read and long read sequencing.

A

Short read sequencing generates sequences up to ~300 base pairs, providing high accuracy and throughput, whereas long read sequencing produces longer sequences (>1000 bp), which can span repetitive regions and complex genomes.

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8
Q

Name a market leader in short read sequencing.

A

Illumina is a prominent company in short read sequencing, known for its high-throughput and accuracy in sequencing DNA fragments.

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9
Q

What are the main advantages of long read sequencing?

A

Long read sequencing allows for sequencing of longer DNA fragments, enabling better resolution of complex genomic regions, structural variants, and direct RNA sequencing.

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10
Q

Describe how nanopore sequencing works.

A

Nanopore sequencing involves passing DNA or RNA through a protein nanopore, where changes in electrical current are used to detect the sequence of bases, allowing for real-time sequencing.

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11
Q

What applications does nanopore sequencing excel in?

A

Nanopore sequencing is useful for real-time field sequencing, detection of methylation patterns, and sequencing native RNA without prior conversion to cDNA.

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12
Q

How is sequencing used in diagnostics and surveillance?

A

Sequencing is crucial in diagnosing pathogens rapidly, identifying antimicrobial resistance, and discovering novel infectious agents, enhancing public health responses.

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13
Q

Explain the process of characterizing a pathogen using genomics.

A

Genomic characterization involves sequencing the pathogen’s genome, assembling the fragmented DNA into a complete or partial genome, and identifying genes related to virulence and antimicrobial resistance.

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14
Q

What is genomic epidemiology?

A

Genomic epidemiology uses genomic data to track disease outbreaks, determine transmission routes, and understand pathogen evolution by analyzing genetic variations among pathogens.

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15
Q

How does comparative genomics contribute to understanding pathogen virulence?

A

Comparative genomics compares genomes of different strains to identify genetic variations associated with differences in disease severity or virulence among pathogens.

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16
Q

What is metagenomics?

A

Metagenomics involves sequencing genetic material directly from environmental samples to study microbial communities without prior culturing, providing insights into microbial diversity and function.

17
Q

How does metagenomics differ from microbiome analysis?

A

Metagenomics involves sequencing all genetic material in a sample to identify individual genomes, whereas microbiome analysis focuses on specific genes (e.g., 16S rRNA) to study microbial composition.

18
Q

What is transcriptomics?

A

Transcriptomics studies the complete set of RNA transcripts produced by the genome in a specific cell or tissue at a given time, revealing gene expression patterns and responses to pathogens.

19
Q

How can transcriptomics help understand host-pathogen interactions?

A

Transcriptomics identifies genes expressed by the host in response to infection, revealing immune responses and pathogen manipulation of host gene expression.

20
Q

What computational methods are used to analyze genomic data?

A

Computational tools for genomic analysis include genome assembly algorithms, gene prediction software, and tools for comparative genomics and metagenomics analysis.