igemuoftATG / bioinformatics

Bioinformatics and Computational Biology Topics, DBs, Challenges, etc.

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bioinformatics

Bioinformatics and Computational Biology Topics, DBs, Challenges, etc.

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The Cycle

  1. data -> interpreation via "tool"
  2. tool -> interpret
  3. self -> tool
  4. go back to 1.

Criteria

  • submitting code/plots to github before the presentation
  • code inputs and outputs
  • explanation related to interpretation of results
  • references
  • innovation

Workshops

  • R (Bioconductor)
  • Python
  • bionode/R - Tutorial

Databases

  • ENSEMBL
  • NCBI
  • UniProt, Pfam
  • RNACentral, rfam
  • SGD, other species specific DBs
  • ontology DBs, FANTOM, GO
  • microarray DBs
  • RNASeq
  • SWISS Model
  • STRING, IntAct, MARA

Undeveloped Ideas

  • "data modeling", SQL relations
  • "FBA"
  • "structure analysis" (+ ramachandran plots)
  • "PPI"

Web Tools

  • EMBOSS explorer

Challenges

[5] finding secondary structure of RNA

CSC373 6.5

[1~3] multiple sequence alignment

Tutorial here

  • (cancer) cell lines
  • similar proteins across species
  • domain, family

[3] expression analysis with GEO2R

Link to BCH441 assignment

[4] mass spec -> protein

Frequency -> amino acid

[3] Phylogenetic Tree

A -> B Tools

Simple, one step tools, that can be used together in an analysis pipeline.

  • BLAST
  • PSI-BLAST (iterative though)
  • bowtie
  • tophat2
  • ~

Visualization Tools

  • phylip
  • d3
  • plotly
  • cytoscape.js
  • R's plot()

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Bioinformatics and Computational Biology Topics, DBs, Challenges, etc.

License:MIT License