WORKSHOPS AND TUTORIALS

9:00 - 11:30am

Session Chair:
Kin-Fai Au

Dr. Sudhir Kumar and team

Temple University

A Live Tutorial on Molecular Evolutionary Genetics Analysis (MEGA)

10:00 - 11:30am

Session Chair:
Yulin Dai

Drs. Jiaxin Fan and Rui Xiao

The University of Pennsylvania Perelman School of Medicine 

Statistical Methods for Allele-Specific Expression Analysis Using RNA Sequencing Data 

11:30am - 2:00pm

 Break

2:00 - 4:30pm

Session Chair:
Kin-Fai Au

Drs. Yulin Dai and Hyun-Hwan Jeong

The University of Texas Health Science Center at Houston

Advanced Computational Analyses of Single-Cell RNA Sequencing Data

3:00 - 4:30pm

Session Chair:
Kin-Fai Au

Drs. Scott Williams, Weihua Guan, Steven F. Jennings, Philip R.O. Payne, and Jonathan Stubblefield

Case Western Reserve University; The University of Minnesota; University of Arkansas at Little Rock; Washington University in St. Louis; Arkansas State University

No Boundary Thinking in Bioinformatics

4:30pm

  Adjourn

8:15-8:30am

Opening Remarks (Mindy Shi, Li Shen)

8:30-9:10am

Session Chair:

Li Shen

Keynote Lecture

James S. Duncan, Ph.D.     

Fellow of IEEE and AIMBE, Fellow and former President of MICCAI society.

Ebenezer K. Hunt Professor of Electrical Engineering & Radiology and Biomedical Imaging

Yale University, USA

  Title: Neuroimage Analysis in Autism: from Model-Based Estimation to Data-driven Learning

 9:10-9:30am

Session Chair: Mindy Shi

Eminent Scholar Talk

Feng Yue, Ph.D.

Director, Center for Cancer Genomics, Robert H. Lurie Comprehensive Cancer Center

Director, Institute for Augmented Intelligence in Medicine - Center for Advanced Molecular Analysis

Duane and Susan Burnham Professor of Molecular Medicine

Associate Professor, Department of Biochemistry and Molecular Genetics

Feinberg School of Medicine, Northwestern University, USA

Title: Genome-Wide Detection and Functional Characterization of Enhancer Hijacking in Cancer Genomes

9:30-9:45am

Break

PAPER PRESENTATION SESSIONS

       I.            Genomics and Networks

Session Chairs: Li Liu, Jim Havrilla

 9:45-10:00am

pHisPred: A Tool for the Identification of Histidine Phosphorylation Sites by Integrating Amino Acid Patterns and Properties 6

Jian Zhao, Minhui Zhuang, Jingjing Liu, Meng Zhang, Cong Zeng, Bin Jiang, Jing Wu, Xiaofeng Song

10:00-10:15am

Mining Functional Gene Modules by Multi-View NMF of Phenome-Genome Association 104

Xu Jin, WenQian He, MingMing Liu, Lin Wang, YaoGong Zhang, YingJie Xu, Ling Ma, YaLou Huang, MaoQiang Xie

10:15-10:30am

Signaling Interaction Link Prediction Using Deep Graph Neural Networks Integrating Protein-Protein Interactions and Omics Data 31

Jiarui Feng, Amanda Zeng, Yixin Chen, Philip Payne, Fuhai Li

10:30-10:45am

eSMC: A Statistical Model to Infer Admixture Events from Individual Genomics Data

Yonghui Wang, Zicheng Zhao, Xinyao Miao, Yinan Wang, Xiaobo Qian, Lingxi Chen, Changfa Wang, Shuaicheng Li

10:45-11:00am

Identifying Genes Associated with Brain Bolumetric Differences Through Tissue Specific Transcriptomic Inference from GWAS Summary Data

Hung Mai, Jingxuan Bao, Paul M. Thompson, Dokyoon Kim, Li Shen

11:00-11:15am

Break

11:15-11:30am

SCSilicon: a Tool for Synthetic Single-Cell DNA Sequencing Data Generation103

Xikang Feng, Lingxi Chen

11:30-11:45am

McSNAC: A Software to Approximate First-Order Signaling Networks from Mass Cytometry Data

Darren Wethington, Sayak Mukherjee, Jayajit Das

11:45am -12:00pm

FSF-GA: A Feature Selection Framework for Phenotype Prediction Using Genetic Algorithms

Mohammad Erfan Mowlaei, Xinghua Shi

12:00-12:15pm

Deciphering the Role of RNA Structure in Translation Efficiency

Jianan Lin, Yang Chen1, Yuping Zhang, Haifan Lin, Zhengqing Ouyang

12:15-12:30pm

Integrative Analysis of Summary Data from GWAS and eQTL Studies Implicates Genes Differentially Expressed in Alzheimer’s Disease

Brian Lee, Xiaohui Yao, Li Shen

12:30 - 2:30pm

Break

    II.            Deep Learning

Session Chairs: Cong Liu, Lanjing Zhang

 2:30-2:45pm

CAISC: A Software to Integrate Copy Number Variation and Single Nucleotide Mutations for Genetic Heterogeneity Profiling and Subclone Detection by Single-cell RNA Sequencing

Jeerthi Kannan, Liza Mathews, Zhjie Wu, Neal S Young, Shouguo Gao

2:45-3:00pm

The Versatile Alignment Tool (VAT): A High-Performance Multi-Purpose Short Sequence Mapping Toolkit

Cuncong Zhong, Xiangtao Liu

3:00-3:15pm

Neural Representations of Cryo-EM Maps and a Graph-Based Interpretation

Nathan Ranno, Dong Si

3:15-3:30pm

LENRM: A New Noise Reduction Method Based on Local Expansion for Detecting Overlapping Protein Complexes

Lei Xue, Xu Qing Tang

3:30-3:45pm

CrisprVi: A Software for Visualizing and Analyzing CRISPR Sequences of Prokaryotes

Lei Sun, Fu Yan, Gongming Wang, Jinbiao Wang, Yun Li, Jinlin Huang

3:45-4:00pm

Break

4:00-4:15pm

Deep Multiview Learning to Identify Imaging-driven Subtypes in Mild Cognitive Impairment

Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen for the Alzheimer’s Disease Neuroimaging Initiative

4:15-4:30pm

B-assembler: A Circular Bacterial Genome Assembler

Fengyuan Huang,  Li Xiao, Min Gao, Ethan J. Vallely, Kevin Dybvig, Prescott Atkinson, Ken B. Waites, Zechen Chong

4:30-4:45pm

DISTEMA: Distance Map-Based Estimation of Single Protein Model Accuracy with Attentive 2D Convolutional Neural Network

Xiao Chen, Jianling Cheng

4:45-5:00pm

BVMHC: Bilateral and Variable Long Short Term Memory Networks Based Major Histocompatibility Complex Binding Prediction

Limin Jiang, Hui Yu, Jijun Tang, Fei Guo, Yan Guo

5:00-5:15pm

Integrative Analysis of eQTL and GWAS Summary Statistics Reveals Transcriptomic Alteration in Alzheimer Brains

Pradeep Varathan, Priyanka Gorijala, Tanner Jacobson, Danai Chasioti, Kwangsik Nho, Shannon L Risacher, Andrew J Saykin, Jingwen Yan

5:15-5:45pm

 Session Chair:
 Jim Havrilla

Flash Talk – Machine Learning and Bioinformatics

1.      Contribution of Transposable Elements to Tissue-Specific Gene Regulation in Human

            Arsala Ali, Ping Liang

2.      Analysis of Factors Impacting the Quality of de novo Genome Assemblies.

            Haimeng (Jerry) Tang, Ping Liang, Adonis Skandalis, Miriam Richards

3.      DRAGOM: Classification and Quantification of Noncoding RNA in Metagenomic Data

            Ben Liu, Sirisha Thippabhotla, Jun Zhang, Cuncong Zhong

4.      iMPP: Integrated De Novo Gene Prediction for Metagenomics Data

            Sirisha Thippabhotla, Ben Liu, Cuncong Zhong

5.      Bayesian Mixed-Effect Higher-Order Hidden Markov Models with Applications to Predictive Healthcare Using Electronic Health Record

            Ying Liao, Yisha Xiang, Zhigen Zhao, Di Ai

6.      Gene Regulatory Networks and Biomarkers Jointly Inferred by Genome-Wide Genetic, Epigenetic, and Regulatory Factors in Multiple Sclerosis

            Astrid M Manuel, Yulin Dai, Hyun-Hwan Jeong, Zhongming Zhao

7.      Charting the Proteome Landscape in Major Psychiatric Disorders: From Biomarkers to Biological Pathways

            Brisa S. Fernandes, Yulin Dai, Peilin Jia, Zhongming Zhao

8.      A Graph Neural Network Model to Estimate Cell-Wise Metabolic Flux Using Single Cell RNA-seq Data

            Wennan Chang,Norah Alghamdi, Pengtao Dang, Xiaoyu Lu, Changlin Wan, Silpa Gampala, Yong Zang, Melissa Fishel, Sha Cao, Chi Zhang

5:45-8:00pm

Break

8:00-8:40pm

Session Chair: Kai Wang

Keynote Lecture

Chunhua Weng, Ph.D., FACMI, FIAHSI

Professor of Biomedical Informatics, Member of Data Science Institute

Co-Director for Biomedical Informatics, Irving Institute for Clinical and Translational Research

Columbia University Irving Medical Center, New York, NY, USA

  Title: Augmented Intelligence for Clinical Trials: from Participant Selection to Evidence Appraisal

 8:40-9:00pm

Session Chair:

Li Shen

Eminent Scholar Talk

Graciela Gonzalez-Hernandez, Ph.D.

Associate Professor of Informatics 

The Perelman School of Medicine, University of Pennsylvania, USA  

Title: Challenges in Digital Epidemiology: Using Social Media Mining for Health Research

9:00-9:15pm

Break

PAPER PRESENTATION SESSIONS

 III.            Medical Informatics and Decision Making

Session Chairs: Yunyun Zhou, Tianle Ma

 9:15-9:30pm

AEDNav: Indoor Navigation for Locating Automated External Defibrillator 6

Gaurav Rao, Vijay Mago, Pawan Lingras, David W. Savage

9:30-9:45pm

Estimating the Optimal Linear Combination of Predictors Using Spherically Constrained Optimization

Priyam Das, Debsurya De, Raju Maiti, Mona Kamal, Katherine A. Hutcheson, Clifton D. Fuller, Bibhas Chakraborty, Christine B. Peterson

9:45-10:00pm

DENSEN: a Convolutional Neural Network for Estimating Chronological Ages from Panoramic Radiographs

Xuedong Wang, Xinyao Miao, Yanle Liu, Yin Chen, Xiao Cao, Yuchen Zhang, ShuaichengLi and Qin Zhou

10:00-10:15pm

Identification of Multimodal Brain Imaging Association via A Parameter Decomposition based Sparse Multi-view Canonical Correlation Analysis Method

Jin Zhang, Huiai Wang, Ying Zhao, Lei Guo, Lei Du, the Alzheimer’s Disease Neuroimaging Initiative

10:15-10:30pm

An Integrated Interactive COVID-19 Dashboard for Individual Risk Analysis and Real-time Trend Analysis

Josh Voytek, Maria Maltepes, Anna Lengner, Jay S. Patel, Huanmei Wu

10:30-10:45pm

Mining Comorbidities of Opioid Use Disorder from FDA Adverse Event Reporting System and Patient Electronic Health Records

Yiheng Pan, Rong Xu

10:45-11:00pm

Break

11:00-11:15pm

PheNominal: An EHR-Integrated Web Application for Structured Deep Phenotyping at the Point of Care

James M. Havrilla, Anbumalar Singaravelu, Dennis M. Driscoll, Leonard Minkovsky, Ingo Helbig, Livija Medne, Kai Wang, Ian Krantz, Bimal R. Desai

11:15-11:30pm

Natural Language Processing to Identify Lupus Nephritis Phenotype in Electronic Health Records

Yu Deng, Jennifer A. Pacheco, Anh Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel Kho, Rosalind Ramsey- Goldman, Theresa Walunas, Yuan Luo

11:30-11:45pm

Expediting Knowledge Acquisition by a Web Framework for Knowledge Graph Exploration and Visualization (KGEV): a Case Study on COVID-19

Jacqueline Peng, David Xu, Ryan Lee, Siwei Xu, Yunyun Zhou, Kai Wang

11:45pm-12:00am

Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients

Hanyin Wang, Yikuan Li, Andrew Naidech, and Yuan Luo

12:00-12:15am

On the Role of Deep Learning Model Complexity in Adversarial Robustness for Medical Images

David Rodriguez, Tapsya Nayak, Yidong Chen, Ram Krishnan, Yufei Huang

12:15-12:30am

Application of Unsupervised Deep Learning Algorithms for Identification of Specific Clusters of Chronic Cough Patients from EMR Data

Wei Shao, Xiao Luo, Zuoyi Zhang, Zhi Han, Vasu Chandrasekaran, Vladimir Turzhitsky, Vishal Bali, Anna R. Roberts, Megan Metzger, Jarod Baker, Carmen La Rosa, Jessica Weaver, Paul Dexter, Kun Huang

12:30am

Adjourn

8:25-8:30am

    Introduction (Mindy Shi, Li Shen)

8:30-9:10am

Session Chair: Mindy Shi

Keynote Lecture

Ben Raphael, Ph.D.            

Professor of Computer Science

Princeton University, USA

  Title: Quantifying Tumor Heterogeneity across Time and Space

 9:10-9:30am

Session Chair: Kai Wang

Eminent Scholar Talk

Kai Tan, Ph.D.

Professor of Pediatrics

Children's Hospital of Philadelphia

Perelman School of Medicine

The University of Pennsylvania, USA

Title: Leverage Systems Biology and Single-Cell Analysis to Discover Novel Therapeutic Targets

9:30-9:45am

Break

PAPER PRESENTATION SESSIONS

 IV.            Genomics, RNA Biology and Diseases

Session Chairs: Jinchuan Xing, Yong Cheng

 9:45 -10:00am

Identifying Genetic Markers Enriched by Brain Imaging Endophenotypes in Alzheimer's Disease

Mansu Kim, Ruiming Wu, Xiaohui Yao, Andrew J. Saykin, Jason H. Moore, Li Shen for the Alzheimer's Disease Neuroimaging Initiative

10:00-10:15am

AutoCoV: Tracking the Early Spread of COVID-19 in Terms of the Spatial and Temporal Dynamics from Embedding Space by K-mer Based Deep Learning

Inyoung Sung, Sangseon Lee, Minwoo Pak, Yunyol Shin, Sun Kim

10:15-10:30am

A Framework to Trace Microbial Engraftment at the Strain Level During FMT

Yiqi Jiang, Shuai Wang, Xianglilan Zhang, Shuaicheng Li

10:30-10:45am

Exploration of Chemical Space with Partial Labeled Noisy Student Self-Training and Self-Supervised Graph Embedding: Application to Drug Metabolism

Yang Liu, Hansaim Lim, Lei Xie

10:45-11:00am

Novel lincRNA Discovery and Tissue-Specific Gene Expression across 30 Normal Human Tissues

Xianfeng Chen, Zhifu Sun

11:00-11:15am

Break

11:15-11:30am

Bioinformatics Analysis Revealed that Functional Important miRNA Targeted Genes are Associated with Child Obesity Trait in Genome-wide Association Studies

Melinda Song, Jiaqi Yu, Binze Li, Julian Dong, Jeslyn Gao, Lulu Shang, Xiang Zhou, Yongsheng Bai

11:30-11:45am

MSPCD: Predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network

Lei Deng, Dayun Liu, Yizhan Li, Runqi Wang, Junyi Liu, Jiaxuan Zhang, Hui Liu

11:45am-12:00pm

Gene Co-Expression Changes Underlying the Functional Connectomic Alterations in Alzheimer’s Disease

Bing He, Priyanka Gorijala, Linhui Xie, Sha Cao, Jingwen Yan

12:00-12:15pm

Prioritization of Risk Genes in Multiple Sclerosis by a Refined Bayesian Framework Followed by Tissue-Specificity and Cell Type Feature Assessment

Andi Liu, Astrid M Manual, Yulin Dai, Zhongming Zhao

12:15-12:30pm

SARS-COV-2 as Potential microRNA Sponge in COVID-19 Patients

Chang Li, Rebecca Wang, Aurora Wu, Tina Yuan, Kevin Song, Yongsheng Bai, Xiaoming Liu

12:30-2:30pm

Break

    V.            Cancer Informatics

Session Chairs: Wei Zhang, Zhifu Sun

 2:30-2:45pm

Bi-EB: An Empirical Bayesian Biclustering Algorithm for shared omics patterns between breast cancer tumor samples and breast cancer cell lines

Aida Yazdanparast, Lang Li, Chi Zhang, Lijun Cheng

2:45-3:00pm

Constrained Tensor Factorization for Computational Phenotyping and Mortality Prediction in Patients with Cancer

Francisco Cai, Chengsheng Mao, Yuan Luo

3:00-3:15pm

Small Molecule Modulation of Microbiota: A Systems Pharmacology Perspective

Qiao Liu, Bohyun Lee, Lei Xie

3:15-3:30pm

Cost-effective Low-coverage Whole Genome Sequencing Assay for Glioma Risk Stratification

Jin Fu, Yingfeng Zhu, Xiaofeng Li, Jiajun Qin, Zhongrong Chen, Ziliang Qian, Jiping Sun, Xianzhen Chen

3:30-3:45pm

The Profiling of Gut Microbiota During Colorectal Cancer Development

Jingjing Liu, Wei Dong, Jian Zhao, Jing Wu, Jinqiang Xia, Shaofei Xie, Xiaofeng Song

3:45-4:00pm

Break

4:00-4:15pm

Model Performance and Interpretability of Semi-Supervised Generative Adversarial Networks to Predict Oncogenic Variants with Unlabeled Data

Zilin Ren, Quan Li , Kajia Cao , Marilyn M Li , Yunyun Zhou, Kai Wang

4:15-4:30pm

Copy Number Variation of Urine Exfoliated Cells s by Low-Coverage Whole Genome Sequencing for Diagnosis of Prostate Adenocarcinoma: A Prospective Cohort Study

Youyan Guan, Xiaobing Wang, Kaopeng Guan, Dong Wang, Xingang Bi, Zhendong Xiao, Zejun Xiao, Xingli Shan, Linjun Hu, Jianhui Ma, Changling Li, Yong Zhang, Jianzhong Shou, Baiyun Wang, Ziliang Qian, Nianzeng Xing

4:30-4:45pm

Association of the Tissue Infiltrated and Peripheral Blood Immune Cell Subsets with Response to Radiotherapy for Rectal Cancer

Xueling Li, Min Zhu, Xingjie Li, Xu Cheng, Xingxu Yi, Fang Ye, Xiaolai Li, Zongtao Hu, Liwei Zhang, Jinfu Nie

4:45-5:00pm

Comparison of Four Supervised Feature Selection Algorithms Leading to Top features and Gene Signatures from Multi-Omics Data in Cancer

Tapas Bhadra, Saurav Mallik, Neaj Hasan, Zhongming Zhao

5:00-5:15pm

A Landscape of Immune Cell Types in Tumor Microenvironment Associated with Prognosis and Sensitivity of Radiotherapy

Xingjie Li, Min Zhu, Xueling Li

5:15-5:45pm

Session Chair: Jim Havrilla

Flash Talk – Single Cell Omics and Disease Informatics

9. Converting Tabular Data into Images for Anti-Cancer Drug Response Prediction Using Convolutional Neural Networks

            Yitan Zhu, Thomas Brettin, Fangfang Xia, Alexander Partin, Maulik Shukla, Hyunseung Yoo, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens

10. Functional Screening of 3’-UTR Variants Combined with Genome-wide Association Identifies Causal Regulatory Mechanisms Impacting Alcohol Consumption

            Andy B Chen, Kriti S. Thapa, Hongyu Gao, Jill L Reiter, Hongmei Gu, Junjie Zhang, Xiaoling Xuei, Dongbing Lai, Yue Wang, Howard J. Edenberg, Yunlong Liu

11. A Machine-Learning Classifier for Predicting Aneuploidy Risk in Female IVF Patients

            Siqi Sun, Maximilian Miller, Yanran Wang, Katarzyna M. Tyc, Richard T. Scott, Jr., Xin Tao, Yana Bromberg, Karen Schindler, Jinchuan Xing

12. Single Cell-Based Deconvolution of Liver Diseases Reveals γδ2 T Cells as a Marker in Hepatocellular Carcinoma Development              

Rama Shankar, Mingdian Tan, Joseph W. Zagorski, Austin J. Goodyke, Jeremy Haskins, Shreya Paithankar, Dave Chesla, Samuel So, Mei-Sze Chua, Bin Chen

13. Brain Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder

            Mohammad. S. E. Sendi,, Hossein Dini, Christopher C. Abbott, Vince D Calhoun

14. IPDB: Integrated Pregnancy Database with clinical and omics data

            Parth G Kothiya, Huanmei Wu, David M. Haas, Shelley D. Dowden, Bobbie N Ray, Sara K Quinney

15. Therapeutic Re-Positioning of Amiloride: From Anti- hypertension to Anti-Cancer

            Aleshia Seaton-Terry, Venkataswarup Tiriveedhi

16. Delineating Cell State Heterogeneity in Bladder Cancer

            Antara Biswas, Sivasomasundari Arunarasu, Subhajyoti De

5:45-8:00pm

Break

8:00-8:40pm

Session Chair:

Zhongming Zhao

Keynote Lecture

Ying Xu, Ph.D.       

Fellow of AAAS

Regents-GRA Eminent Scholar Chair

Professor of Bioinformatics and Computational Biology

University of Georgia, USA

  Title: Towards Developing a New Theory of Cancer Evolution

 8:40-9:00pm

Session Chair:

Kong Chen

Eminent Scholar Talk

Wei Chen, Ph.D.

Professor of Pediatrics, Biostatistics, Human Genetics

Director of Statistical Genetics Core

University of Pittsburgh

UPMC Children's Hospital of Pittsburgh

Title: Understanding Age-related Macular Degeneration in the Era of Big Data

9:00-9:15pm

Break

PAPER PRESENTATION SESSIONS

 VI.            Transcriptomics

Session Chairs: Rui Xiao, Xiaoming Liu

 9:15-9:30pm

Revealing the Novel Complexity of Plant Long Non-Coding RNA by Strand-Specific and Whole Transcriptome Sequencing for Evolutionarily Representative Plant Species

Yan Zhu, Longxian Chen, Xiangna Hong, Han Shi, Xuan Li

9:30-9:45pm

Identifying Alzheimer’s Genes via Brain Transcriptome Mapping

Jae Young Baik, Mansu Kim, Jingxuan Bao, Qi Long, Li Shen

9:45-10:00pm

On Triangular Inequalities of Correlation-Based Distances for Gene Expression Profiles

Jiaxing Chen, Yen Kaow Ng, Lu Lin, Xianglilan Zhang, Shuaicheng Li

10:00-10:15pm

Mouse Blood Cells Types and Aging Prediction using Penalized Latent Dirichlet Allocation

Xiaotian Wu, Yee Voan Teo, Nicola Neretti, Zhijin Wu

10:15-10:30pm

Rewired Pathways and Disrupted Pathway Crosstalk in Schizophrenia Transcriptomes by Multiple Differential Coexpression Methods

Hui Yu, Yan Guo, Jingchun Chen, Xiangning Chen, Peilin Jia, Zhongming Zhao

10:30-10:45pm

Break

10:45-11:00pm

kESVR: An Ensemble Model for Drug Response Prediction in Precision Medicine Using Cancer Cell Lines Gene Expression

Abhishek Majumdar,Yueze Liu,Yaoqin Lu, Shaofeng Wu, Lijun Cheng

11:00-11:15pm

Revealing the Hadal Viral Community in the Sediment of New Britain Trench

Hui Zhou, Ping Chen, Mengjie Zhang, Jiawang Chen, Jiasong Fang, Xuan Li

11:15-11:30pm

Alternative Splicing Induces Sample-Level Variation in Gene-Gene Correlations

Yihao Lu, Brandon L. Pierce, Pei Wang, Fan Yang, Lin S. Chen

11:30-11:45pm

APA-Scan: Detection and Visualization of 3'-UTR APA with RNA-seq and 3'-end-seq Data

Naima Ahmed Fahmi, Khandakar Tanvir Ahmed, Jae-Woong Chang, Heba Nassereddeen, DeliangFan, Jeongsik Yong, Wei Zhang

11:45pm-11:55pm

Session Chair:

Jinchuan Xing

Award Ceremony

11:55pm-12:05am

Session Chairs:

Mindy Shi,
Li Shen

Wrap-up and Closing Remarks