BIOINFORMATICS SEMINAR SERIES: SPRING 2014

BIOINFORMATICS SEMINAR SERIES: SPRING 2014 STATISTICAL BIOINFORMATICS SEMINAR SERIES
STAT 598B is a 1 credit seminar course (public is welcome)
4:30pm on Tuesdays in Smith (SMTH) Hall 108
Past Seminars (scroll down for current)

FALL	SPRING
Fall 2000 seminar series speakers	Spring 2001 seminar series speakers
Fall 2001 seminar series speakers	Spring 2002 seminar series speakers
Fall 2002 seminar series speakers	Spring 2003 seminar series speakers
Fall 2003 seminar series speakers	Spring 2004 seminar series speakers
Fall 2004 seminar series speakers	Spring 2005 seminar series speakers
Fall 2005 seminar series speakers	Spring 2006 seminar series speakers
Fall 2006 seminar series speakers	Spring 2007 seminar series speakers
Fall 2007 seminar series speakers	Spring 2008 seminar series speakers
Fall 2008 seminar series speakers	Spring 2009 seminar series speakers
Fall 2009 seminar series speakers	Spring 2010 seminar series speakers
Fall 2010 seminar series speakers	Spring 2011 seminar series speakers
Fall 2011 seminar series speakers	Spring 2012 seminar series speakers
Fall 2012 seminar series speakers	Spring 2013 seminar series speakers
Fall 2013 seminar series speakers

Tuesday, January 14, 2014; 4:30pm, Smith (SMTH) Hall 108: No Seminar
CANCELLED (this seminar will be rescheduled):=> Tuesday, January 21, 2014; 4:30pm, Smith (SMTH) Hall 108: RW Doerge , Department of Statistics and Department of Agronomy, Purdue University; "Robust Adjustment of Sequence Tag Abundance in Next-Generation Sequencing Data"; Associated reading:
D. Baumann and R.W. Doerge. 2013. Robust Adjustment of Sequence Tag Abundance. Bioinformatics. Nov 7. [Epub ahead of print]
Tuesday, January 28, 2014; 4:30pm, Smith (SMTH) Hall 108: Hyonho Chun , Department of Statistics, Purdue University; "Joint Conditional Gaussian Graphical Models with Multiple Sources of Genomic Data"; Associated reading:
1. H Chun, M Chen, B Li and H Zhao (2013) Joint conditional Gaussian graphical models with multiple sources of genomic data, Frontiers in Genetics-Bioinformatics and Computational Biology.

2. B Li, H Chun and H Zhao (2012) Sparse Estimation of Conditional Graphical Models with Application to Gene Networks, Journal of the American Statistical Association 107.
Tuesday, February 4, 2014; 4:30pm, Smith (SMTH) Hall 108: Ping Ma, Department of Statistics, University of Georgia, Athens, GA; "Leveraging in Big Data Regression"; Associated reading:
Ping Ma, Michael W. Mahoney, Bin Yu. 2013. A Statistical Perspectiv e on Algorithmic Leveraging
Tuesday, February 11, 2014; 4:30pm, Smith (SMTH) Hall 108: RW Doerge , Department of Statistics and Department of Agronomy, Purdue University; "Robust Adjustment of Sequence Tag Abundance in Next-Generation Sequencing Data"; Associated reading:
D. Baumann and R.W. Doerge. 2013. Robust Adjustment of Sequence Tag Abundance. Bioinformatics. Nov 7. [Epub ahead of print]
Tuesday, February 18, 2014; 4:30pm, Smith (SMTH) Hall 108: RW Doerge , Department of Statistics and Department of Agronomy, Purdue University; **Sponsored by the Purdue University Postdoc Association; "Part 1: Beginning a Job Search: Academic, Industry, Government.."; Associated reading:
1. Center for Career Opportunities (CCO), Purdue University

2. Applying for a Job (U.S. Department of Labor)

3a. How to write a cover letter.
3b. How to write an academic cover letter.

4. Academic Job Application Checklist

5. Academic Job Interview Advice

6. Academic Interview Questions

7. Tricky (Industry) Interview Questions
Tuesday, February 25, 2014; 4:30pm, Smith (SMTH) Hall 108: RW Doerge , Department of Statistics and Department of Agronomy, Purdue University; **Sponsored by the Purdue University Postdoc Association; "Part 2: The job interview and what to do when you get an offer (academic, industry, etc.)"; Associated reading:
1. Center for Career Opportunities (CCO), Purdue University

2. Preparing for an Academic Career
Tuesday, March 4, 2014; 4:30pm, Smith (SMTH) Hall 108: Zhaonan Sun, Department of Statistics, Purdue University; "Statistical calibration for high-throughput gene expression data with measurement error models"; Associated reading:
Zhaonan Sun, Thomas Kuczek, and Yu Zhu (2014): Statistical calibration for qRT-PCR, microarray and RNA-Seq expression data with measurement error models. To appear in Annals of Applied Statistics.
Tuesday, March 11, 2014; 4:30pm, Smith (SMTH) Hall 108: Han Wu, Eli Lilly, Indianapolis, IN, and formerly Purdue Statistics; "Statistical Models for Transcripts Quantification Using RNA-Seq"
Tuesday, March 18, 2014; 4:30pm, Smith (SMTH) Hall 108: No Seminar. Spring Break
Tuesday, March 25, 2014; 4:30pm, Smith (SMTH) Hall 108: Shizhong Xu,Department of Botany and Plant Sciences, UC Riverside, Riverside, CA; "Control Type I Error in Genome-wide Association Studies"; Associated reading:
S. Xu. 2013.Mapping Quantitative Trait Loci by Controlling Polygenic Background Effects. Genetics. 195: 1209-1222.
Tuesday, April 1, 2014; 4:30pm, Smith (SMTH) Hall 108: Lingling An, Department of Agricultural and Biosystems Engineering, University of Arizona, Tucson, AZ; "A Two-Stage Statistical Procedure for Feature Selection and Comparison in Functional Analysis of Metagenomes"; Associated reading:
L. Chistoserdova. 2009. Functional Metagenomics: Recent Advances and Future Challenges. Biotechnology and Genetic Engineering Reviews. 26:335-352.
Tuesday, April 8, 2014; 4:30pm, Smith (SMTH) Hall 108: Karen Sachs , Stanford University School of Medicine, Stanford, CA; "Learning drug and disease networks from single cell data"; Associated reading:
Karen Sachs, Omar Perez, Dana Pe'er, Douglas A. Lauffenburger, and Garry P. Nolan, Causal Protein-Signaling Networks Derived from Mul tiparameter Single-Cell Data, Science 22 April 2005; 308: 523-529
Tuesday, April 15, 2014; 4:30pm, Smith (SMTH) Hall 108: Yun Li, Department of Genetics and Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC; "A Novel Method for Size Control in Partially Sequenced Data for Rare Variant Association Testing"; Associated reading:
Song Yan and Yu Li. 2014. BETASEQ: a powerful novel method to control type-I error inflation in partially sequenced data for rare variant association testing. Bioinformatics. Advanced Access
Tuesday, April 22, 2014; 4:30pm,: No Seminar; and we are done for the semester. Thank you everyone, and good luck on finals!,; See you Fall 2014 Semester...

Please contact doerge@purdue.edu if there is a speaker (including yourself) you would like to invite for this series, or if you would like to be added to the weekly email list.

SPRING 2014 Bioinformatics Unique Hits