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Presentation Topics

Please discuss the paper provided in more detail and include at least one other paper on the topic in your presentation. Your presentation should take at least 15 and no longer than 20 minutes.

 

Day 5 14.11.2022

Bioinformatics and Covid - Basics concerning SARS-CoV-2 analysis in bioinformatics

  • General information regarding SARS-CoV-2
  • Genome information
  • Gene important for infection
  • General overview of Covid discovery and surveillance

https://academic.oup.com/bib/article/22/2/631/6067880

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Sequencing Technologies - Illumina, Nanopore etc.

  • Briefly explain NGS
  • Briefly explain Illumina sequencing (Sequencing by synthesis)
  • Paired-end vs single-end reads

https://pubmed.ncbi.nlm.nih.gov/30478097/

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Quality Control (QC) - Checking of data reliability

  • Explain Phred score
  • Explain FASTQ format
  • Importance
  • Mention typical problems that occur
  • good vs bad data

https://doi.org/10.1093/bioinformatics/btw354

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Day 6 21.11.2022

Trimming & Filtering - Bias and error reduction

  • Explain trimming & filtering and their differences
  • Coverage
  • Read length vs read quality

https://doi.org/10.1093/bioinformatics/bty560

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Alignment - Sequence analysis - Algorithms

  • Explain alignment
  • Explain the underlying algorithms
  • local vs global
  • pairwise vs multi-sequence

https://pubmed.ncbi.nlm.nih.gov/2231712/

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Alignment 2 - Sequence analysis - Implementation

  • Explain the implementation
  • Compare tools
  • Use cases

https://doi.org/10.1093/bioinformatics/btp324

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Day 7 28.11.2022

Assembly - Reconstructing sequences - Algorithms

  • Explain different approaches (de-novo, reference-guided; short read, long read, hybrid)
  • Explain the problem with repetitive sequence segments (repeats)
  • Explain contigs
  • Goals

https://www.nature.com/articles/nmeth.1935

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Assembly 2 - Reconstructing sequences - Implementation

  • Explain superior tool
  • Compare different approaches

https://academic.oup.com/bib/article/22/5/bbab102/6210065

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Scaffolding - Linking of genomic sequences

  • Importance
  • Reference-guided vs reference-free
  • Compare different approaches

https://doi.org/10.1186/s13059-019-1829-6

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Day 8 05.12.2022

Assembly control - Ranking of assemblies

  • Decision heuristic for best assembly
  • reference-guided vs reference-free
  • Completeness

https://doi.org/10.1093/bioinformatics/btt086

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Variant calling - Identification of represented variants

  • Genomic variants (SNPs, SNVs, indels)
  • Special features
  • Compare to other tools

https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-01993-6

Include information about your topic from at least one other peer reviewed paper in your presentation.

 

Lineage Assignment - Identification of represented lineages

  • Explain variant
  • Explain different types of variants (VOC, VOI, VUM)
  • GISAID
  • Pango nomenclature

https://doi.org/10.1093/ve/veab064

Include information about your topic from at least one other peer reviewed paper in your presentation.