Qiu Lab Meetings
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School Year 2015
Aug 28, 2015
- Journal Club (12:30-1:30): an recent paper claiming wide-spread gene loss & pseudogenization in bacterial pathogens. [1]. Presenter: Roy
- Key terms/concepts: pan-genome, pan-genes (core/"near core"/rare), normalized identity (NI), genomic fluidity, pseudogene conservation percent (PCP), AAI (aa identity), effective population size (Ne), Muller's Ratchet
- Key methods: FASTA for ortholog/paralog identification, PHI (pairwise homoplasy index) for detecting recombination, TFASTA for HGT (gene gain), RAST for gene calls and genome annotation
- Key findings: bi-modal distribution of pangenes; two clonal species has high genomic fluidity, despite being closely related; little HGT ("rare") but lots of losses ("near core") in clonal species; maintenance of pseudogenes (small Ne)
- Pluses: large number of genomes; results broadly convincing; rigorous interpretations and discussion
- Flaws: No phylogenetic reconstruction; no synteny verification; no gene function analysis; bad presentation (figures should be tables and tables should be figures)
- My overall rating: 3.5/5.0
- Project updates & plans (1:30-2)
- Saymon: pcr is working for positive controls; need to start testing for nymphs
- John & Rayyes: pa2 database cleaning nearly done; start polymorphism-by-genome-location analysis
- Amanda & Roy: Treponema project has a working database, pipeline, and preliminary validated results; start documenting protocals, tabulating results, and prepare functional analysis
Sept 4, 2015
- Journal Club: a nice review of bacterial population genetics (E.coli model), from protein polymorphisms to whole-genome variations. [2]. Presenter: Amanda
Sept 11, 2015
- Journal Club: an in-depth analysis of Staphylococcus aureus genomes. [3] Presenter: John
Sept 18, 2015
- Journal Club: latest statistics in detecting population admixture and genome intragression (d3, f4, h4, ChromosomePainter).[4]. Presenter: Saymon
Summer 2014
Projects & Goals
Name | Goal/Description | Team |
---|---|---|
Pseudomonas |
|
Example |
Borrelia intergenics | Clean up start-codon positions | Example |
SNP pipeline | Example | Example |
Gain/Loss pipeline | Example | Example |
- Frequency distribution of ospC types in wild tick populations (Fall 2013) Project page
- Mutual information
Summer 2013
Projects & Goals
- Borrelia population genomics: Recombination & Natural Selection (Published)
- Borrelia pan-genomics (Submitted as of 5/25/2013)
- Positive and negative selection in Borrelia ORFs and IGS (Submitted as of 6/15/2013)
- Dr Bargonetti's project (Summer 2013)
- A population genomics pipeline using MUGSY-FastTree (Summer 2013): Project page
- Borrelia Genome Database & Browser (Summer 2013) Version 2 screen shot
- Pseudomonas population genomics (Summer 2013) Project page
- Hypothesis Testing: Do host-interacting genes show adaptive codon usage? (Summer 2013): Project page
- Phylogenomics browsing with JavaScript/JQuery, Ajax, and jsPhylosvg
- Frequency distribution of ospC types in wild tick populations (Fall 2013) Project page
Lab meeting: June 13, 2013
- Weigang: IGS paper submission should be done by Thursday.
- Che/Slav: Workshop update (Meeting at 3:30pm?)
- Che: SILAC project (Meeting at 4pm?)
- Zhenmao: Tick processing & paired-end Illumina sequencing
- Pedro: Updates on "ncbi-orf" table
- Girish: phyloSVG extension; QuBi video
- Saymon and Deidre: consensus start-codons
- Reeyes and Raymond: Pseudomonas DB; fleN alignment and phylogeny
- Valentyna: BLASTn results (4:30pm?)
Lab meeting: May 23, 2013
- May 24, Friday: End of School Year Party in the Park (we leave from Hunter @ 1:30pm)
- Recommended reading of the week: Detecting Neanderthal genes using the D' homoplasy statistic
- Weigang: IGS paper submission
- Che: Thesis update/SILAC project/Summer teaching
- Zhenmao: Manuscript update: Material & Methods; Results (Tables and Figures)
- Pedro: Catlyst web framework
- Girish: cp26 phylogenomic analysis
- Saymon and Deidre: consensus start-codons
Lab meeting: May 16, 2013
- Weigang: IGS paper submitted yet?
- Che: Thesis update. Chapter 3. Evolution of ospA/ospB gene family
- Pedro/Zhenmao: Can we wrap up the BLAST identification of ospC types?
- Girish: Fetch cp26 sequences from DB; Run MUGSY & FastTree
- Saymon/Deidre: Identification of consensus start-codon positions
- Pedro/Girish: orth_get/orth_igs website development. Catalyst. Implement graphics (genome map & phylogeny) query interface
- Raymond: start the Pseudomonas summer project
Foundational papers for working in Qiu Lab
- A recent review by Qiu lab: Evolutionary genomics of Lyme bacteria
- Phylogeography of Borrelia burgdorferi sensu lato. A review by Margos et al. 2011
- A short tutorial on molecular phylogenetics: Phylogeny for the faint of heart: a tutorial
- The Ka/Ks test of natural selection: The Ka/Ks ratio: diagnosing the form of sequence evolution
Informatics Architecture
- Operating Systems: Linux OS/Ubuntu, Mac OS
- Programming languages: BASH, Perl/BioPerl, R
- Relational Databases: PostgreSQL
- Software architecture
- bb3: Borrelia Genome Database. To access:
psql -h borreliabase.org -U lab bb3
- Pseudomonas Genome Database. To access:
psql -h ortholog -U lab paerug
- DNATweezer: Perl wrappers of most frequently used BioPerl modules, including Bio::Seq, Bio::SimpleAlign, and Bio::Tree [5]
- SimBac: A Perl/Moose package for simulating bacterial genome evolution [6]
- BorreliaBase
- bb3: Borrelia Genome Database. To access:
Perl Challenges
Problem | Input | Output |
---|---|---|
DNA transcription | A DNA sequence, in 5'-3' direction (e.g., aaatttaaaagacaaaaagactgctctaagtcttgaaaatttggttttcaaagatgat) | An RNA sequence, in 5'-3' direction |
Genetic code | None | 64 codons, one per line (using loops) |
Count amino acids | A protein sequence | Frequency counts of individual amino acids |
Count codons | A protein-coding DNA sequence | Frequency counts of individual codons |
Random sequence 1 | None | Generate a random DNA sequence (e.g., 1000 bases) with equal base frequencies |
Random sequence 2 | None | Generate a random DNA sequence with biased base frequencies, e.g., 10% G, 10% C, 40% T, and 40% A. |
Graphics I | a categorical dataset, e.g., Biology | a bar graph & a pie char, using GD::Simple or Postscript::Simple |