Program - The University of Texas at San Antonio

Program

(update 11/4)


December
4,
2011

Tutorial Sessions












Tim
e
:

1:00 am to 5:3
0 am


6:30 pm to 9:00 pm

Reception









December
5,
2011

7:50 am

Opening remark

8:00 am to 9:30 am

Plenary talks

9:30 am to 9:50 am

Break & posters


S
ession: 1




Next Generation Sequencing for Epigenetic Research

Tim
e
: 9:50 am to 11:50 am

1.

A Scalable, Flexible Workflow for MethylCap
-
Seq Data Analysis

Benjamin Rodriguez
1
, Hok
-
Hei Tam
1
, David Frankhouser
1
, Michael Trimarchi
1
, Mark Murphy
1
,

Chris Kuo
1
,
Deval Parikh
1
, Bryan
Ball
1
, Sebastian Schwind
1
, John Curfman
1
, William Blum
1
, Guido Marcucci
1
, Pearlly Yan
1
,

Ralf Bundschuh
2

1.

The

Ohio State University Comprehensive Cancer Center Columbus, Ohio, USA,

2.

Departments of Physics and Biochemistry, Center for RNA Biology, The Ohio State University Columbus, Ohio, USA.


2.

An ERα/Modulator Regulatory Network in the Breast Cancer Cells

Hen
g
-
Yi Wu
1
, Yu Wang
1
, P. Zheng
1
, G. Jiang
1
,

Yunlong Liu
1
,

Kenneth P. Nephew
2
,

Tim H. M. Huang
3
,
Lang Li
4

1.

Center for Computational Biology and Bioinformatics Indiana University Indianapolis, Indiana USA

2.

Medical Sciences, School of Medicine Indiana
University Bloomington, Indiana USA

3.

Department of Molecular Virology, Immunology, and Medical Genetics The Ohio State University Columbus, Ohio USA

4.

Department of Medical and Molecular Genetics Indiana University Indianapolis, Indiana USA.


3.

Empirical
Bayes Model Comparisons for Differential Methylation Analysis

Mingxiang Teng
1
, Yadong Wang
1
,

Curt Balch
2
, Kenneth P. Nephew
2
,

Yunlong Liu
3
,

Lang Li
4
,
Seongho Kim
5


1.

School of Computer Science and Technology Harbin Institute of Technology Harbin,
Heilongjiang, China

2.

Medical Sciences Indiana University Bloomington, Indiana, USA

3.

Department of Medicine, Indiana University Indianapolis, Indiana, USA

4.

Department of Medical and Molecu
-
lar Genetic, Indiana University Indianapolis, Indiana, USA

5.

Department of Bioinformatics and Biostatistics University of Louisville
,

Louisville, Kentucky, USA.



4.

Chromatin signature analysis and prediction of genome
-
wide novel promoters using finite mixture model

Cenny Taslim
1
, Shili Lin
1
, Kun Huang
2
, Tim Huang
3


1
.

Department of Statistics

Columbus, OH 43210, USA
.

2
.

Department of Biomedical Informatics
,
Columbus, OH 43210, USA.

3
.

Department of Molecular Virology, Immunology and Medical Genetics

Columbus, OH 43210, USA.




5.

Enabling Atlas2 Personal Genome Analysis o
n the Cloud


Uday S. Evani
1,4
, Danny Challis
1
, Jin Yu
1
, Andrew R. Jackson
2,3
, Sameer Paithankar
2,3
, Matthew N. Bainbridge
1
, Cristian Coar
-
fa
2,3
,
Aleksandar Milosavljevic
2,3,4
,
Fuli Yu
1,3,4


1
.

The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA.

2
.
Bioinformatics Research Laboratory, Epigenome Center, Department of Molecular and Human Genetics.

3
.

Department of Molecular and Human Genetics, Baylor College of
Medicine, TX 77030, USA.

4
.

Corresponding authors.


6.

A Novel Approach for Alignments Output Storage Problem Facing Clinical Scenarios

Yiqi Lu
1
,

Yaoliang Chen
2
,

Fuli Yu
3
,

Yanghua Xiao
4
,

Danfeng Xu
5


1
.

School of Computer Science, Fudan Unive
rsity Shanghai 200433, PR China.

2
.

School of Computer Science, Fudan Unive
rsity Shanghai 200433, PR China.

3
.

The Human Genome Sequencing Center, Baylor Coll
ege of
Medicine, Houston, TX 77030 USA.

4
.

School of Computer Science, Fudan Unive
rsity Shanghai 200433, PR China. (
Corresponding Author
)

5
.

School of Computer Science, Fudan University Shanghai 200433, PR China.


S
ession:
2





Gene Regulation Network I











Time: 9:50 am to 11:50 am


1.

Uncertainty
-
based Essentiality in Gene Regulatory Networks

Xiaoning Qian
1
, Byung
-
Jun Yoon
2

and Edward R. Dougherty
2,3,4
,

1
.

Dept. of Computer Science & Engineering, University of South Florida, Tampa, FL 33620


2
.

Dept. of Electrical & Computer Engineering, Texas A&M University, College Station, TX 77843


3
.

Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ 85004

4
.

Dept. of Bioinformatics and Computational Biology,University of

Texas M. D. Anderson Cancer Center, Houston, TX 77030





2.

The effect of certain Boolean functions in stability of networks with varying topology

Vitor H. P. Louzada
1
,
Ronaldo F. Hashimoto
1
,
Fabr´ıcio M. Lopes
y
2
.


1
.

Institute of Mathematics and Statistics of
the University of S˜ao Paulo, Brazil

2
.

Federal University of Technology
-

Paran´a, Brazil


3.

Modelling Oxidative Stress Response Pathways

Sriram Sridharan
1
, Ritwik Layek
1
, Aniruddha Datta
1
, Jijayanagaram Venkatraj
2

1
.

Texas A & M University, Electrical and
Computer Engineering, College Station, TX, 77843
-
3128, USA.


2
.

Texas A & M University, Vet Integrative Biosciences, College Station, TX, 77843
-
4458, USA.


4.

A novel critical time analysis approach for Genetic Regulatory Networks

Sonal Bhattacharya, Ranadip
Pal

Electrical and Computer Engineeirng Department, Texas Tech University, Lubbock, TX, USA


5.

Inference of a Genetic Regulatory Network model from limited time series data

Saad Haider
,

Ranadip Pal

Texas Tech UniversityLubbock, TX, 79409, USA
.


6.

A Cubature
Kalman Filter Approach for Inferring Gene Regulatory Networks Using Time Series Data

Amina Noor
1
, Erchin Serpedin
1
, Mohamed Nounou
2

and Hazem Nounou
2

1
.

Department of Electrical and Computer Engineering

Texas A&M University, College Station, Texas 77843
.

2
.

Texas A&M University at Qatar, Doha, Qatar 23874
.



1:20 pm to 2:00 pm

Round Table with funding agencies
.










Session: 3






Computational Methods for Therapeutic


Time 2:00 pm to 4:00 pm








1.

Efficient Combinatorial Drug Optimization Through
Stochastic Search


Mansuck Kim,

Byung
-
Jun Yoon

Department of Electrical and Computer Engineering Texas A&M University
.


2.

A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs

Noah Berlow
,

Ranadip Pal
.

Texas Tec
h University

Lubbock, TX, 79409, USA
.



3.

Modeling Cyclic and Acyclic Therapeutic Methods with Persistent Intervention Effect i
n Probabilistic Boolean
Networks

Mohammadmahdi R. Yousefi
1
, Aniruddha Datta
1
,
Edward R. Dougherty
1,2,3

1
.

Dept. of Electrical and
Computer Engineering, Texas A&M University, College Station, TX, USA
.


2
.

Comp. Biology Division, Translational Genomics Research Institute, Phoenix, AZ, USA
.

3
.

Dept. of Bioinf. and Comp. Biology, University of Texas M. D. Anderson Cancer Center, Houston,

TX, USA
.


4.


Predicting Drug Efficacy Based on the Integrated Breast Cancer Pathway Model


Hui Huang
1
, Xiaogang Wu
1
,

Sara Ibrahim
2

, Marianne McKenzie
3
,
Jake Y. Chen
4

1
.
School of Informatics, Indiana University
.

2
.

School of Medicine Indiana University
.

3
.

School of Science Purdue University.

4
.

School of Informatics Indiana University
.


5.

Identifying Genes Associated with Chemotherapy Response in Ovarian Carcinomas Based on DNA Copy Number
and Expression Profiles

Fang
-
Han Hsu
1
, Erchin Serpedin
1
, Tzu
-
Hung
Hsiao
3
, Alexander J.R. Bishop
3
,
4
,

Edward R. Dougherty
1
,
2
,

Yidong Chen
3
,
5

1
.
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX
.

2
.
Computational

Biology Division, Translational Genomics Research Institute, Phoenix, AZ
.

3
.
Greehey Child
ren’s Cancer Research Institute.

4
.
Department of Cellular and Structural Biology
.

5
.
Department of Epidemiology and Biostatistics, University of Texas Health Science C
enter at San Antonio, San Antonio, TX
.



6.

Assessing the Efficacy of Molecularly Targeted Agents by Using Kalman Filter

Xiangfang (Lindsey) Li, Lijun Qian, Michael L. Bittner, and Edward R. Dougherty




Session: 4





Drug Selection Gene Regulation Network
II


Time 2:00 pm to 4:00 pm










1.

Probabilistic consistency transformation for multiple alignment of biological networks

Sayed Mohammad Ebrahim Sahraeian, Byung
-
Jun Yoon

Department of Electrical & Computer Engineering

Texas A&M University,
College Station, TX 77843
-
3128, USA.


2.

Attractor Estimation and Model Refinement for Stochastic Regulatory Network Models

Jason Knight
1,
Edward Dougherty
1,

2

1
.

Dept. of Electrical and Computer Engineering, Texas A&
M University College Station, Texas 77843 USA

2
.

Computational Biology Division, Translational Genomics Research Institute,

Phoenix, Arizona 85004 USA
.


3.

Steady state probability approximation applied to stochastic model of biological network

Md. Shahriar
Karim, David M. Umulis and Gregery T. Buzzard
.


4.

Identification of biomarkers in breast cancer metastasis by integrating protein
-
protein interaction network
and gene expression data

Md Jamiul Jahid, Jianhua Ruan

Department of Computer Science The
University of Texas at San Antonio

San Antonio, USA


5.

Pathway Analysis in the Context of Bayesian Networks
-

Mathematical Modeling of Master and Canalizing Genes

Chen Zhao
1
,
2
, Ivan Ivanov
3
, Michael L. Bittner
2
, Edward R.Dougherty
1
,
2
,
4

1
.

Dept. of
Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
.

2
.

Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ, USA
.

3
.

Dept. of Veterinary Physiology and Pharmacology, Texas A&M University, C
ollege Station, TX, USA
.

4
.

Dept. of Bioinformatics and Computational Biology, University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
.




6.

Gene Network Inference via Sparse Structural Equation Modeling with Genetic Perturbations

Xiaodong Cai
1
,
Ju
an Andr´es Bazerque
2
, Georgios B. Giannakis
2
.

1
.
Dept. of ECE, Univ. of Miami

Coral Gables, FL 33146, USA
.

2
.
Dept. of ECE, Univ. of Minnesota, Minneapolis, MN 55455, USA
.

4:00 pm to 4:20 pm

Break & posters



Session: 5






Data Integration










Time 4:20

pm to 6:20 pm


1.

Improvement of GNs inference through biological data integration

F´abio Fernandes da Rocha Vicente
1
;
2
, Fabr´ıcio M. Lopes
1
,
Ronaldo F. Hashimoto
2

1
.

Federal University of Technology
-

Paran´a, Brazil

2
.

Institute of Mathematics and Statistics, University of S˜ao Paulo, Brazil


2.

Multisource Biological Pathway Consolidation

Mark S. Doderer
1
, Zachry Anguiano
1
, Uthra Suresh
1
, Ravi Dashnamoorthy
1
, Alexander J.R. Bishop
1, 2, 4
, and Yidong Chen
1, 3, 4

1
.
Greehey

Children’s Cancer Research Institute.

2
.
Department of Cellular and Structural Biology.

3
.

Department of Epidemiology and Biostatistics, and

4
.
Cancer Therapy & Research Center,

The University of Texas Health Science Center at San Antonio San Antonio, USA
.


3.

A Method For Finding Novel Associations Between Genome
-
Wide Copy Number And DNA Methylation Patterns


Man
-
Hung Eric Tang
1
, Vinay Varadan
2
, Sid Kamalakaran
2
, Michael Q. Zhang
3

,

Nevenka Dimitrova
2
, James Hicks
1


1
.

Cold Spring Harbor Laboratory, 1 Bungtown Rd, NY 12724, USA

2
.

Philips Research North America, 345 Scarborough Rd, Briarcliff Manor, NY 10510, USA

3
.

The University of Texas at Dallas, Richardson TX 75080, USA and Tsinghua University, Beijing, 100084 China
.


4.

Stochastic Modeling of Dynamic Effects of Copy Number Alterations upon Gene Expression Levels

Fang
-
Han Hsu
1
, Erchin Serpedin
1
, Yidong Chen
2
,
3
, and

Edward R. Dougherty
1, 4

1
.

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX.


2
.

Department of Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio, San Antonio, TX.

3
.

Greehey

Children’s Cancer Research Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX.

4
.

Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ.



5.

Efficient Cancer Therapy using Boolean Networks a
nd Max
-
SAT
-
based ATPG

Pey
-
Chang Kent Lin, Sunil P. Khatri

Department of ECE, Texas A&M University, College Station TX 77843


6.

Designing Enhanced Classifiers Using Prior Process Knowledge: Regularized Maximum
-
Likelihood

Mohammad Shahrokh Esfahani
1
, Amin
Zollanvari
2
, Byung
-
Jun Yoon
1
, and Edward R. Dougherty
1
,
3

1
.
Department of Electrical and Computer Engineering, Texas A&M University.

2
.

Childrens Hospital Informatics Program at Harvard
-
MIT Division of Health Sciences and Technology, Harvard Medical School,

Brigham and Womens Hospital.

3
.

Computational Biology Division, Translational Genomics Research Institute (TGen), Phoenix, Arizona, USA
.


Session: 6






Proteomics data processing









Time 4:20

pm to 6:20 pm




1.

Finding Effective Subnetwork Markers
for Cancer by Passing Messages

Byung
-
Jun Yoon

Department of Electrical and Computer Engineering Texas A&M University, College Station, TX
.


2.

Application of Survival Analysis Methodology to the Quantitative Analysis of LC
-
MS Proteomics Data

Carmen D. Tekwe,
Alan R. Dabney, Raymond J. Carroll

Department of Statistics Texas A & M University College Station, TX 77843
-
3143


3.

Mapping of International Protein Index to Affymetrix Probe
-
Set Identifier for Correlating Genomics and
Proteomics Expression Profiles in Mult
iple Myeloma


Shweta S. Chavan

1,2
, John D. Shaughnessy Jr.
1
, Bart Barlogie
1
, Ricky D. Edmondson
1

1
.
Myeloma Institute for Research and Therapy, University of Arkansas Medical Sciences (UAMS), 4301 W. Markham Street,
Slot#776, Little Rock, AR 72205, USA.


2
.

University of Arkansas Little Rock
–
UAMS Joint Bioinformatics Program,


2801 S. University Avenue, Little Rock, AR 72204, USA.



4.

Multiple Reaction Monitoring: Modeling and Systematic Analysis

Esmaeil Atashpaz
-
Gargari
1
, Ulisses M. Braga
-
Neto
1
, and Edward
R. Dougherty
1
;
2
;
3

1
.

Dept. of Electrical and Computer Engineering, Texas A&M University.

2
.

Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ.

3
.

Dept. of Bioinformatics and Computational Biology, University of Texas M.

D. Anderson Cancer Center, Houston, TX.


5.

Joint Corresponding Feature Identification and Alignment for Multiple LC/MS Replicates

Jian Cui, Xuepo Ma, Jianqiu(Michelle) Zhang

Department of Electrical and Computer Engineering University of Texas at san Antoni
o San Antonio, Texas 78249
.


6.

Modeling and systematic analysis of LC
-
MS proteomics pipeline

Youting Sun
1
, Ulisses Braga
-
Neto
1
, Edward R. Dougherty
1
;
2
;
3

1
.

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX.

2
.

Compu
tational Biology Division, Translational Genomics Research Institution, Phoenix, AZ.

3
.

Department of Bioinformatics and Computational Biology, University of Texas M.D. Anderson Cancer Center, Houston, TX



6:30 pm to 9:00 pm

Banquet





December
6,
2011

8:00 am to 9:30 am

Plenary talks

9:30 am to 9:50 am

Break & posters






Session: 7






Clustering and Classification Methods

Time 9:50 am to 11:50 am


1.

Classifier Error Estimator Performance in a Bayesian Context

Lori Dalton
1
,
Edward R. Dougherty
1, 2,

3

1
.
Dept. of Electrical and Computer Engineering, Texas A&M University, College Station, TX USA
.

2
.
Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ USA
.

3
.

Dept. of Bioinf. and Computational Biology, University of
Texas M. D. Anderson Cancer Center, Houston, TX USA
.


2.

Sample
-
Based Estimators for the Intrinsically Multivariate Prediction Score

Ting Chen, Ulisses Braga
-
Neto

Department of Electrical Engineering Texas A & M University College Station, Texas 77843


3.

Clustering Gene Expression Data using Probabilistic Non
-
negative Matrix Factorization

Belhassen Bayar
1
,
Nidhal Bouaynaya
2
, Roman Shterenberg
3

1
.
Department of Electrical Engineering Ecole Nationale d’Ing´enieurs de Tunis, Tunisia.

2
.

Department of Systems
Engineering University of Arkansas at Little Rock, USA.

3
.

Department of Mathematics University of Alabama

at Birmingham, USA
.


4.

Relationship between the accuracy of classifier error estimation and distribution complexity

Esmaeil Atashpaz
-
Gargari
1
, Chao
Sima
2
, Ulisses M. Braga
-
Neto
1
, and Edward R. Dougherty
1, 2, 3

1
.

Dept. of Electrical and Computer En
gineering, Texas A&M University.

2
.

Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ
.

3
.

Dept. of Bioinformatics and
Computational Biology, University of Texas M. D. Anderson Cancer Center, Houston, TX
.


5.

Geometrical Modification Of Wavelet SVM Kernels And Its Application In Microarray Analysis

Hong Cai , Yufeng Wang

Department of Biology

University of Texas at San
Antonio, San Antonio, TX 78249, USA
.


6.

S
-
score : a Novel Scoring Method of Gene Signatures for Molecular Classification

Hung
-
I Harry Chen
1
, Tzu
-
Hung Hsiao
1
, Yidong Che
n
1, 2
, Charles Keller
3

1
.
Greehey Children’s Cancer Research Institute

2
.
Department of
Epidemiology and Biostatistics,

University of Texas Health Science Center at San Antonio, San Antonio, Texas



3
.

Pediatric Cancer Biology Program, Pap Papé Family Pediatric Research Institute Family Pediatric Research Institute,Department

of Pediatrics, Or
egon Health and Science University, Portland, Oregon
.



Session:
8



MicroRNA, GWAS, Next
-
Generation Sequencing Methods


Time 9:50 am to 11:50 am












1.

Computational Prediction of microRNA Regulatory Pathways

Dong Yue
1
, Yidong Chen
2
, Shou
-
Jiang Gao
2
,
Yufei Huang
1, 2

1
.

Department of Electrical and Computer Engineering, Universit
y of Texas at San Antonio, U.S.


2
.

Greehey Children’s Cancer Research Institute, University of Texas Health Science Center at San Antonio, U.S.


2.

A Sequential Monte Carlo Base
-
c
alling Method for next
-
generation DNA Sequencing

Xiaohu Shen and Haris Vikalo

Department of Electrical and Computer Engineering, University of Texas at Austin

3.

Personal Genome Privacy Protection with Feature
-
based Hierarchical Dual
-
stage Encryptions

Xukai
Zou
1
, Peng Liu
2
, Jake Y. Chen
3

1
.

Department of Computer & Information Science

Purdue University Indianapolis, IN 46202, USA.

2
.

College of Information Science and Technology Penn State University, University Park, PA 16802, USA.

3
.

School of Informatic
s Indiana University Indianapolis, IN 46202, USA
.


4.

Beyond Seed Match: Improving miRNA Target Prediction using PAR
-
CLIP Data

Mingzhu Lu
1
, C. L. Philip Chen
2
, Yufie Huang
1

1
.

Department of Electrical and Computer Engineering, The

University of Texas at San Antonio, TX, USA.

2
.

Faculty of Science of Technology, University of Macau, China.


5.

Network
-
assisted Causal Gene Detection in Genome
-
wide Association Studies: An Improved Module Search
Algorithm

Peilin Jia
1
, Zhongming Zhao
1, 2,

3

1
.

Department of Biomedical Informatics.

2
.

Department of Psychiatry

3
.

Department of Cancer Biology

Vanderbilt University School of Medicine

Nashville TN 37232, USA.



6.

Comparative Copy Number Variation from Whole Genome Sequencing

Angel Janevski, Vinay

Varadan, Sitharthan Kamalakaran, Nilanjana Banerjee, Nevenka Dimitrova

Philips Research, 345 Scarborough Rd, Briarcliff Manor, NY 10510
.



Session:
9







ISIMB 2011










Time 9:50 am to 11:50 am





1.

ECF sigma factor
-
associated regulatory
networks in Streptomyces colicolor A3(2)

Zhan Zhou
1, 2
, Qi Li
1
, Julie Tudyk
1
, Yong
-
Quan Li
2

and Yufeng Wang
1, 3

1
.

Department of Biology, University of Texas at San Antonio, San Antonio, TX 78249, USA.

2
.

College of Life Sciences, Zhejiang University, Hangzhou 310058, P. R. China.

3
.

South Texas Center for Emerging Infectious Diseases, University of Texas at San Antonio, San Antonio, TX 78249, USA.


2.

A Compton scattering suppression based Image reconstructi
on method for digital brest tomosynthesis

Shiyu Xu and Ying Chen



3.

Effects of slice thickness filter in filtered backprojection reconstruction with parallel breast tomosynthesis
imaging configuration

Linlin Cong
1
, Weihua Zhou
2,
Ying Chen
3

1
.

Biomedical Eng
ineering Graduate Program,

Southern Illinois University.

2
.

Department of Electrical and Computer Engineering, Southern Illinois University, Carbondale, IL 62901.

3
.

Corresponding Author
.


4.

Transcriptomic analysis using svd clustering and svm classification

Hong Cai , Yufeng Wang

Department of Biology

University of Texas at San Antonio, San Antonio, TX 78249, USA


5.

Targeting myocardial infarction
-
specific protein interactions using computational analyses

Nguyen Nguyen
1
, Xiaolin Zhang
1
,

Yunji Wang
1
, Hai
-
Chao
Han
1
, Yufang Jin
1
, Galen Schmidt
2
, Richard A. Lange
3
, Robert J. Chilton
3
,
Merry Lindsey
3

1
.

Dept. of ECE University of Texas at San Antonio San Antonio, TX 78249, USA.

2
.

Dept. of ECE Rice University Houston, TX 77005, USA
.

3
.

Dept. of Medicine University of Texas Health Science Center at San Antonio San Antonio, TX 78229, USA
.



6.

Mathematical modeling of macrophage activation in left ventricular remodeling post
-
myocardial infarction


Yunji
Wang
1
, Yufang Jin
1
, Yonggang Ma
2
, Ganes
h V Halade
2
, Merry L. Linsey
2

1
.

Department of Electrical and Computer Engineering, University of Texas at San Antonio San Antonio, Texas 78249, USA.

2
.

Department of Medicine
-
Cardiology University of Texas Health Science Center at San Antonio San Antonio,

TX 78229, USA




1:00 pm to 5:00 pm

Hands
-
on workshop on next Gen
-
sequencing

By Texas Advanced Computing Center