1. Inform Development of Regenerative Therapies Identify regulatory units for regeneration Identify genes inactivated in animal systems that cannot regenerate Inform Development of Regenerative Therapies Identify regulatory units for regeneration Identify genes inactivated in animal systems that cannot regenerate User-Friendly Interface That Features: Multiple integrated datasets Multiple organisms Needed to Integrate Increasingly Large Datasets Needed to compare different models and tissues Primary publications often limited to individual datasets Comparative Models of Regeneration Database (RegenDB)

2. Expression Data Summary for a Gene in a Single Organism Appendage Regeneration Heart Regeneration Comparative Models of Regeneration Database (RegenDB)

3. Expression Data for a Transcript in a Single Experiment Comparative Models of Regeneration Database (RegenDB)

4. Predicted microRNA Binding Sites for the 3p UTR of a Single Transcript Comparative Models of Regeneration Database (RegenDB)

5. Expression Data Summary for Homologs in Similar Tissues Axolotl Zebrafish

6. Applied Bioinformatics Course at MDI Biological Laboratory FASTQ Files Tertiary Analysis 1.Analysis of Read Counts e.g., Differentially expressed genes 2.Analysis of Gene Lists 1.Enrichment 2.Pathway and networks 3.Analysis of Expression Patterns Tertiary Analysis 1.Analysis of Read Counts e.g., Differentially expressed genes 2.Analysis of Gene Lists 1.Enrichment 2.Pathway and networks 3.Analysis of Expression Patterns Secondary Analysis 1.Read Preprocessing & Diagnostics 2.Align Reads to Reference 3.Analysis of Aligned Reads e.g., Read counts per gene from RNA-Seq Secondary Analysis 1.Read Preprocessing & Diagnostics 2.Align Reads to Reference 3.Analysis of Aligned Reads e.g., Read counts per gene from RNA-Seq Jointly Funded by Maine and New Hampshire IDeA Programs

7. Conceptual Model of Functional Relationships Between Environmental Challenge, Plasticity, and Canalization Shaw JR, Hampton TH, King BL, Whitehead A, Galvez F, Gross RH, Keith N, Notch E, Jung D, Glaholt SP, Chen CY, Colbourne JK, Stanton BA. (2014) Mol Biol Evol 31:3002-3015

8. microRNA Acquisition Consistent With Fossil Record Tarver JE, Sperling EA, Nailor A, Heimberg AM, Robinson JM, King BL, Pisani D, Donoghue PC, Peterson KJ. (2013). Mol Biol Evol. 30(11):2369-82.

9. Evolutionary History of microRNA Genes Across Animal Kingdom Fromm B, Billipp T, Peck LE, Johansen M, Tarver JE, King BL, Newcomb JM, Sempere LF, Flatmark K, Hovig E, Peterson KJ. Ann Rev Genetics (in press)

10. Holocephalan and Elasmobranch Resources in Public Nucleotide and Protein Databases Wyffels J, King BL, Vincent J, Chen C, Wu CH, Polson SW. SkateBase, an elasmobranch genome project and collection of molecular resources for chondrichthyan fishes. (2014) F1000Res. 3:191.

11. Phenotypes Inferred to Diseases Through Shared Chemicals Davis AP, Wiegers TC, Roberts PM, King BL, Lay JM, Lennon-Hopkins K, Sciaky D, Johnson R, Keating H, Greene N, Hernandez R, McConnell KJ, Enayetallah AE, Mattingly CJ. (2013) Database (Oxford). 2013:bat080.

12. Identification of RNA Editing Sites in Normal Lung Samples Analysis Pipeline Soundararajan R, Stearns TM, Griswold AL, Mehta A, Czachor A, Fukumoto J, Lockey RF, King BL, Kolliputi, N. Oncotarget (in press).

13. Skate Mitochondrial Genome Wang Q, Arighi CN, King BL, Polson SW, Vincent J, Chen C, Huang H, Kingham BF, Page ST, Rendino MF, Thomas WK, Udwary DW, Wu CH; North East Bioinformatics Collaborative Curation Team. (2012) Database (Oxford). 2012:bar064. Leucoraja erinacea