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Computational Systems Biology
BME 211, Spring 2008


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Mini-Review Topics

Below are suggested topics. You are encouraged to fashion your own. Pick at least 2 articles to present during your mini-review.

Data Integration

  1. Integration of Protein-Protein Interaction Networks with Gene Coexpression
  2. Integration of PPI or coexpression networks with Genetic Interaction
  3. Integrating promoter sequence with gene expression analysis
  4. Learning Joint Models

Connecting expression to sequence

  1. Periodicity in Bacteria: Wright et al. 2007 [2M pdf]
  2. Connecting cis-regulatory motifs to expression: Bussemaker et al. 2001 [87K pdf]
  3. Chromosomal patterns: Roy et al. 2002 [458K pdf]
  4. Connecting expression to sequence.
  5. Coregulation to sequence.
  6. Sequence to coregulation.
  7. Chromosomal patterns.
  8. Periodicity in bacteria.

Advanced Computational Methods in Systems Biology

  1. Bayesian Biclustering [Dhollander et al. 2007]
  2. Bayesian Hierarchical Modeling [Gerber et al. 2007]
  3. Dynamic Networks.
  4. Metabolic Networks. Covert et al 2004. [pubmed html], Segre et al 2002 [pubmed html]
  5. Flux Balance Analysis.
  6. Iterative wet-dry refinement of molecular models.

Synthetic Biology
- Drew Endy, MIT. BioBricks.

Network Alignment
Kelley and Ideker 2003. [html]
Bandyopadhyay 2006 [pdf]
Huang et al. 2007 [428K pdf]

Recurrent / Conserved Nets
- Ala et al PLoS Comp Bio 2008 [html] - mouse/human conserved nets for disease
- Hong et al Bioinformatics 2008 [html] - compare meta-analysis methods across arrays
- Edelman et al PLoS Comp Bio 2008 [html] - cancer nets
- Kaleav et al '08 [pubmed] - Network BLAST
- Ideker et al '02 [pubmed] - Explain gene expression data with PPI and protein-DNA networks. Use that Z-score transformation.
- Sharan et al '05 [pubmed] - PPI across species
- Tan et al '07 [pubmed] - Integration of transcription and PPI across species.

High-throughput experimental techniques
- HT expression analysis
- ChIP on chip.
- HT sequencing. ChIP/seq.
- PPI mapping.
- Synthetic lethal mapping.
- mass-spectroscopy - SELDI-TOF-MS
- perturbation/observation methods: RNAi->phenotype, drug->phenotype
- proteomics, protein modification
- SNP (Hapmap)

Drug-Target Identification
- Using DNA microarrays as a signature: Marton and Brown [html], Hughes 2000

Semi-supervised Learning
- Scoring pre-computed classes: PSB paper by Pavlidis.
- Recommender systems. E.g. ClueGene.
- Ihmels '04. Hashimoto '04. Hergaard '03. Dhollander '07.

Function Prediction with Integration
- BN approach. Friedman, Science '04.
- PPI with expression. Chen-Hsiang
- PRMs by Pfeffer and Koller.
- Promoter and expression. Segal '03.
- Combining evidence to predict interactions. Troyanskaya's MAGIC.
- CREAM - community-wide competition in mouse to predict gene function (~100 attendees this year). Califano, Roth, Troyanskaya
- Lee and Marcotte, Science '04 [pubmed]
- AVID from Amy Keating, MIT, BMC Bioinformatics '05 [pubmed]
- MAGIC from Olga, PNAS '03 [pubmed]
- Jansen and Gerstein for PPI, Science '03 [pubmed]
- Tanay and Shamir, PNAS '04 [pubmed]
- STRING: Peer Bork's group, NAR 2000 [pubmed]
- Toward reference networks: Srinivasan et al 2007 [html]


Cross-species
- Orthology prediction: Inparanoid. Sonhammer
- Network alignment: Pathblast. Ideker. PPI across (Tan & Ideker)
- Projecting across species: Ihmels and Barkai.
- Meta-analysis of correlation. Stuart '03.
- Search-engine for gene module expansion. MSGR: Chen '07.
- Aging experiments by Bargman and McCaroll.

Reverse Engineering
- State Space Models - Beal and Wild 2005 [url]
- Probabilistic Graphical Models
- Gene-gene networks from observations and interventions.
- Boolean net approach (REVEAL algorithm)
- Using mutual information. Butte and Kohane.
- Alternative approach - ARACHNE by A Califano.
- Nested Effects models, learning from secondary effects. - Markowetz and Spang, 2004.
- Hughes et al 2000.
- Pe'er et al. 2000.
- Hartemink et al 2001 [245K pdf]
- Jaimovich et al 2006.
- Joint models that incorporate expression and additional information. Segal et al 2003 [1.6M pdf]



Databases, exchange languages, resources, societies
- GO/KEGG/BioCarta/Reactome/BioPAX
- Interactions: BioGRID, DIP, INTACT, BIND, YPD, SGD
- Species databases: SGD, MGD, RatDB, etc,
- Data methodology databases: GEO, ArrayExpress
- Minimum Information About a Microarray Experiment (MIAME) and MGED society

- NCIBI at Univ Michigan

Software Tools for Systems Biology
- GenePattern
- geWorkbench - Andrea Califano, MAGnet
- BioPixie
- Recommenders: ClueGene/GeneRecommender/ISA
- Cytoscape
- TreeView / Java TreeView / MeV
- DAVID - Gene set analysis (url)
- Microsoft's Bayes Nets [url]
- SGI's ML library in C++ [url]
- NASA's AutoClass (unsupervised BNs) in C [url]
- WEKA Java data mining software [url]

Applied Network Analysis to Focused Questions
- Telomere length maintenance network. Unger and Roded Sharan's group. (MSB url)
- Viral Detection: Yves Lussier, Univ Chicago; Joe Derisi, UCSF
- Host-pathogen interactions
- Fraser and Marcotte, Jan 08, Nat Genet - Aging and cancer networks in C. elegans.
- Sayan Mukherjee at Duke, Net analysis of colon cancer
- B cell lymphoma using ARACHNe - Andreas Califano
-
Pathogen Analysis
- Sea Urchin development, Oliveri et al 2008 [pubmed html]

- Investigating DNA damage response pathways, Workman et al 2006 [Science html]


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