Tsung-Yu Lu

ORCID: 0000-0001-7110-3937
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About
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Research Areas
  • Genetic Associations and Epidemiology
  • Genomics and Phylogenetic Studies
  • Genomic variations and chromosomal abnormalities
  • Genetic Mapping and Diversity in Plants and Animals
  • CRISPR and Genetic Engineering
  • Genomics and Rare Diseases
  • Chromosomal and Genetic Variations
  • Insurance and Financial Risk Management
  • Image Processing and 3D Reconstruction
  • RNA modifications and cancer
  • Genetic Neurodegenerative Diseases
  • Handwritten Text Recognition Techniques
  • Vehicle License Plate Recognition
  • Genetics, Bioinformatics, and Biomedical Research
  • Traffic Prediction and Management Techniques
  • Natural Language Processing Techniques
  • Facility Location and Emergency Management
  • Genetic factors in colorectal cancer
  • Evolution and Genetic Dynamics
  • Emergency and Acute Care Studies
  • Genomics and Chromatin Dynamics
  • Forecasting Techniques and Applications
  • Evacuation and Crowd Dynamics
  • Traffic and Road Safety
  • RNA and protein synthesis mechanisms

University of Southern California
2020-2023

Southern California University for Professional Studies
2021-2023

LAC+USC Medical Center
2021

National Tsing Hua University
2021

Ministry of Transportation and Communications
2015

National Taiwan University
2014-2015

Wen‐Wei Liao Mobin Asri Jana Ebler Daniel Doerr Marina Haukness and 95 more Glenn Hickey Shuangjia Lu Julian Lucas Jean Monlong Haley Abel Silvia Buonaiuto Xian Chang Haoyu Cheng Justin Chu Vincenza Colonna Jordan M. Eizenga Xiaowen Feng Christian Fischer Robert S. Fulton Shilpa Garg Cristian Groza Andrea Guarracino William T. Harvey Simon Heumos Kerstin Howe Miten Jain Tsung-Yu Lu Charles Markello Fergal J. Martin Matthew W. Mitchell Katherine M. Munson Moses Njagi Mwaniki Adam M. Novak Hugh E. Olsen Trevor Pesout David Porubský Pjotr Prins Jonas A. Sibbesen Jouni Sirén Chad Tomlinson Flavia Villani Mitchell R. Vollger Lucinda Antonacci-Fulton Gunjan Baid Carl Baker Anastasiya Belyaeva Konstantinos Billis Andrew Carroll Pi-Chuan Chang Sarah Cody Daniel E. Cook Robert Cook‐Deegan Omar E. Cornejo Mark Diekhans Peter Ebert Susan Fairley Olivier Fédrigo Adam L. Felsenfeld Giulio Formenti Adam Frankish Yan Gao Nanibaa’ A. Garrison Carlos García Girón Richard E. Green Leanne Haggerty Kendra Hoekzema Thibaut Hourlier Hanlee P. Ji Eimear E. Kenny Barbara A. Koenig Alexey Kolesnikov Jan O. Korbel Jennifer Kordosky Sergey Koren HoJoon Lee Alexandra P. Lewis Hugo Magalhães Santiago Marco‐Sola Pierre Marijon Ann M. Mc Cartney Jennifer McDaniel Jacquelyn Mountcastle Maria Nattestad Sergey Nurk Nathan D. Olson Alice B. Popejoy Daniela Puiu Mikko Rautiainen Allison Regier Arang Rhie Samuel Sacco Ashley D. Sanders Valérie Schneider Baergen I. Schultz Kishwar Shafin Michael W. Smith Heidi J. Sofia Ahmad Abou Tayoun Françoise Thibaud‐Nissen Francesca Floriana Tricomi

Abstract Here the Human Pangenome Reference Consortium presents a first draft of human pangenome reference. The contains 47 phased, diploid assemblies from cohort genetically diverse individuals 1 . These cover more than 99% expected sequence in each genome and are accurate at structural base pair levels. Based on alignments assemblies, we generate that captures known variants haplotypes reveals new alleles structurally complex loci. We also add 119 million pairs euchromatic polymorphic...

10.1038/s41586-023-05896-x article EN cc-by Nature 2023-05-10

Long-read and strand-specific sequencing technologies together facilitate the de novo assembly of high-quality haplotype-resolved human genomes without parent-child trio data. We present 64 assembled haplotypes from 32 diverse genomes. These highly contiguous haplotype assemblies (average minimum contig length needed to cover 50% genome: 26 million base pairs) integrate all forms genetic variation, even across complex loci. identified 107,590 structural variants (SVs), which 68% were not...

10.1126/science.abf7117 article EN Science 2021-02-25
Glenn Hickey Jean Monlong Jana Ebler Adam M. Novak Jordan M. Eizenga and 95 more Yan Gao Haley Abel Lucinda Antonacci-Fulton Mobin Asri Gunjan Baid Carl Baker Anastasiya Belyaeva Konstantinos Billis Guillaume Bourque Silvia Buonaiuto Andrew Carroll Mark Chaisson Pi-Chuan Chang Xian Chang Haoyu Cheng Justin Chu Sarah Cody Vincenza Colonna Daniel E. Cook Robert Cook‐Deegan Omar E. Cornejo Mark Diekhans Daniel Doerr Peter Ebert Jana Ebler Evan E. Eichler Susan Fairley Olivier Fédrigo Adam L. Felsenfeld Xiaowen Feng Christian Fischer Paul Flicek Giulio Formenti Adam Frankish Robert S. Fulton Shilpa Garg Erik Garrison Nanibaa’ A. Garrison Carlos García Girón Richard E. Green Cristian Groza Andrea Guarracino Leanne Haggerty Ira M. Hall William T. Harvey Marina Haukness David Haussler Simon Heumos Kendra Hoekzema Thibaut Hourlier Kerstin Howe Miten Jain Erich D. Jarvis Hanlee P. Ji Eimear E. Kenny Barbara A. Koenig Alexey Kolesnikov Jan O. Korbel Jennifer Kordosky Sergey Koren HoJoon Lee Alexandra P. Lewis Wen‐Wei Liao Shuangjia Lu Tsung-Yu Lu Julian Lucas Hugo Magalhães Santiago Marco‐Sola Pierre Marijon Charles Markello Tobias Marschall Fergal J. Martin Ann M. Mc Cartney Jennifer McDaniel Karen H. Miga Matthew W. Mitchell Jacquelyn Mountcastle Katherine M. Munson Moses Njagi Mwaniki Maria Nattestad Sergey Nurk Hugh E. Olsen Nathan D. Olson Trevor Pesout Adam M. Phillippy Alice B. Popejoy David Porubský Pjotr Prins Daniela Puiu Mikko Rautiainen Allison Regier Arang Rhie Samuel Sacco Ashley D. Sanders Valérie Schneider

10.1038/s41587-023-01793-w article EN Nature Biotechnology 2023-05-10
Andrea Guarracino Silvia Buonaiuto Leonardo Gomes de Lima Tamara Potapova Arang Rhie and 95 more Sergey Koren Boris Rubinstein Christian Fischer Haley Abel Lucinda Antonacci-Fulton Mobin Asri Gunjan Baid Carl Baker Anastasiya Belyaeva Konstantinos Billis Guillaume Bourque Andrew Carroll Mark Chaisson Pi-Chuan Chang Xian Chang Haoyu Cheng Justin Chu Sarah Cody Daniel E. Cook Robert Cook‐Deegan Omar E. Cornejo Mark Diekhans Daniel Doerr Peter Ebert Jana Ebler Evan E. Eichler Jordan M. Eizenga Susan Fairley Olivier Fédrigo Adam L. Felsenfeld Xiaowen Feng Paul Flicek Giulio Formenti Adam Frankish Robert S. Fulton Yan Gao Shilpa Garg Nanibaa’ A. Garrison Carlos García Girón Richard E. Green Cristian Groza Leanne Haggerty Ira M. Hall William T. Harvey Marina Haukness David Haussler Simon Heumos Glenn Hickey Kendra Hoekzema Thibaut Hourlier Kerstin Howe Miten Jain Erich D. Jarvis Hanlee P. Ji Eimear E. Kenny Barbara A. Koenig Alexey Kolesnikov Jan O. Korbel Jennifer Kordosky HoJoon Lee Alexandra P. Lewis Heng Li Wen‐Wei Liao Shuangjia Lu Tsung-Yu Lu Julian Lucas Hugo Magalhães Santiago Marco‐Sola Pierre Marijon Charles Markello Tobias Marschall Fergal J. Martin Ann M. Mc Cartney Jennifer McDaniel Karen H. Miga Matthew W. Mitchell Jean Monlong Jacquelyn Mountcastle Katherine M. Munson Moses Njagi Mwaniki Maria Nattestad Adam M. Novak Sergey Nurk Hugh E. Olsen Nathan D. Olson Benedict Paten Trevor Pesout Alice B. Popejoy David Porubský Pjotr Prins Daniela Puiu Mikko Rautiainen Allison Regier Samuel Sacco Ashley D. Sanders

Abstract The short arms of the human acrocentric chromosomes 13, 14, 15, 21 and 22 (SAACs) share large homologous regions, including ribosomal DNA repeats extended segmental duplications 1,2 . Although resolution these regions in first complete assembly a genome—the Telomere-to-Telomere Consortium’s CHM13 (T2T-CHM13)—provided model their homology 3 , it remained unclear whether patterns were ancestral or maintained by ongoing recombination exchange. Here we show that contain...

10.1038/s41586-023-05976-y article EN cc-by Nature 2023-05-10

Abstract The Human Pangenome Reference Consortium (HPRC) presents a first draft human pangenome reference. contains 47 phased, diploid assemblies from cohort of genetically diverse individuals. These cover more than 99% the expected sequence and are accurate at structural base-pair levels. Based on alignments assemblies, we generated that captures known variants haplotypes, reveals novel alleles structurally complex loci, adds 119 million base pairs euchromatic polymorphic 1,529 gene...

10.1101/2022.07.09.499321 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-07-09
Mitchell R. Vollger Philip C. Dishuck William T. Harvey William S. DeWitt Xavi Guitart and 95 more Michael E. Goldberg Allison N. Rozanski Julian Lucas Mobin Asri Haley Abel Lucinda Antonacci-Fulton Gunjan Baid Carl Baker Anastasiya Belyaeva Konstantinos Billis Guillaume Bourque Silvia Buonaiuto Andrew Carroll Mark Chaisson Pi-Chuan Chang Xian Chang Haoyu Cheng Justin Chu Sarah Cody Vincenza Colonna Daniel E. Cook Robert Cook‐Deegan Omar E. Cornejo Mark Diekhans Daniel Doerr Peter Ebert Jana Ebler Jordan M. Eizenga Susan Fairley Olivier Fédrigo Adam L. Felsenfeld Xiaowen Feng Christian Fischer Paul Flicek Giulio Formenti Adam Frankish Robert S. Fulton Yan Gao Shilpa Garg Erik Garrison Nanibaa’ A. Garrison Carlos García Girón Richard E. Green Cristian Groza Andrea Guarracino Leanne Haggerty Ira M. Hall Marina Haukness David Haussler Simon Heumos Glenn Hickey Thibaut Hourlier Kerstin Howe Miten Jain Erich D. Jarvis Hanlee P. Ji Eimear E. Kenny Barbara A. Koenig Alexey Kolesnikov Jan O. Korbel Jennifer Kordosky Sergey Koren HoJoon Lee Heng Li Wen‐Wei Liao Shuangjia Lu Tsung-Yu Lu Julian Lucas Hugo Magalhães Santiago Marco‐Sola Pierre Marijon Charles Markello Tobias Marschall Fergal J. Martin Ann M. Mc Cartney Jennifer McDaniel Karen H. Miga Matthew W. Mitchell Jean Monlong Jacquelyn Mountcastle Moses Njagi Mwaniki Maria Nattestad Adam M. Novak Sergey Nurk Hugh E. Olsen Nathan D. Olson Benedict Paten Trevor Pesout Adam M. Phillippy Alice B. Popejoy Pjotr Prins Daniela Puiu Mikko Rautiainen Allison Regier Arang Rhie

Abstract Single-nucleotide variants (SNVs) in segmental duplications (SDs) have not been systematically assessed because of the limitations mapping short-read sequencing data 1,2 . Here we constructed 1:1 unambiguous alignments spanning high-identity SDs across 102 human haplotypes and compared pattern SNVs between unique duplicated regions 3,4 We find that are elevated 60% to estimate at least 23% this increase is due interlocus gene conversion (IGC) with up 4.3 megabase pairs SD sequence...

10.1038/s41586-023-05895-y article EN cc-by Nature 2023-05-10

The objective of prehospital emergency medical services (EMSs) is to have a short response time. By increasing the operational efficiency, survival rate patients could potentially be increased. geographic information system (GIS) introduced in this study manage and visualize spatial distribution demand data forecasting results. A flexible model implemented GIS, through which training are prepared with user-desired sizes for grid discretized temporal steps. We applied moving average,...

10.1109/jbhi.2015.2443799 article EN IEEE Journal of Biomedical and Health Informatics 2015-06-17

Abstract Variable number tandem repeats (VNTRs) are composed of consecutive repetitive DNA with hypervariable repeat count and composition. They include protein coding sequences associations clinical disorders. It has been difficult to incorporate VNTR analysis in disease studies that use short-read sequencing because the traditional approach mapping human reference is less effective for divergent sequences. In this work, we solve short reads a repeat-pangenome graph (RPGG), data structure...

10.1038/s41467-021-24378-0 article EN cc-by Nature Communications 2021-07-12

Understanding the impact of DNA variation on human traits is a fundamental question in genetics. Variable number tandem repeats (VNTRs) make up ∼3% genome but are often excluded from association analysis owing to poor read mappability or divergent repeat content. Although methods exist estimate VNTR length short-read data, it known that VNTRs vary both and (motif) composition. Here, we use repeat-pangenome graph (RPGG) constructed 35 haplotype-resolved assemblies detect We align...

10.1101/gr.276768.122 article EN cc-by-nc Genome Research 2023-04-01
HoJoon Lee Stephanie Greer Dmitri S. Pavlichin Bo Zhou Alexander E. Urban and 95 more Tsachy Weissman Hanlee P. Ji Wen‐Wei Liao Mobin Asri Jana Ebler Daniel Doerr Marina Haukness Glenn Hickey Shuangjia Lu Julian Lucas Jean Monlong Haley Abel Silvia Buonaiuto Xian Chang Haoyu Cheng Justin Chu Vincenza Colonna Jordan M. Eizenga Xiaowen Feng Christian Fischer Robert S. Fulton Shilpa Garg Cristian Groza Andrea Guarracino William T. Harvey Simon Heumos Kerstin Howe Miten Jain Tsung-Yu Lu Charles Markello Fergal J. Martin Matthew W. Mitchell Katherine M. Munson Moses Njagi Mwaniki Adam M. Novak Hugh E. Olsen Trevor Pesout David Porubský Pjotr Prins Jonas A. Sibbesen Chad Tomlinson Flavia Villani Mitchell R. Vollger Lucinda Antonacci-Fulton Gunjan Baid Carl Baker Anastasiya Belyaeva Konstantinos Billis Andrew Carroll Pi-Chuan Chang Sarah Cody Daniel E. Cook Omar E. Cornejo Mark Diekhans Peter Ebert Susan Fairley Olivier Fédrigo Adam L. Felsenfeld Giulio Formenti Adam Frankish Yan Gao Carlos García Girón Richard E. Green Leanne Haggerty Kendra Hoekzema Thibaut Hourlier Hanlee P. Ji Alexey Kolesnikov Jan O. Korbel Jennifer Kordosky HoJoon Lee Alexandra P. Lewis Hugo Magalhães Santiago Marco‐Sola Pierre Marijon Jennifer McDaniel Jacquelyn Mountcastle Maria Nattestad Nathan D. Olson Daniela Puiu Allison Regier Arang Rhie Samuel Sacco Ashley D. Sanders Valérie Schneider Baergen I. Schultz Kishwar Shafin Jouni Sirén Michael W. Smith Heidi J. Sofia Ahmad Abou Tayoun Françoise Thibaud‐Nissen Francesca Floriana Tricomi Justin Wagner Jonathan Wood

The human pangenome, a new reference sequence, addresses many limitations of the current GRCh38 reference. first release is based on 94 high-quality haploid assemblies from individuals with diverse backgrounds. We employed k-mer indexing strategy for comparative analysis across multiple assemblies, including pangenome reference, GRCh38, and CHM13, telomere-to-telomere assembly. Our approach enabled us to identify valuable collection universally conserved sequences all referred as...

10.1016/j.crmeth.2023.100543 article EN cc-by-nc-nd Cell Reports Methods 2023-08-01

The objective for pre-hospital Emergency Medical Service (EMS) is to reach to, pick up, and deliver patients efficiently. By increasing the operational efficiency, survival rate of major trauma could potentially be improved. In this research, authors applied Moving Average, Artificial Neural Network, Linear Regression, Support Vector Machine forecast emergency medical demand. results from these approaches, as a reference, used pre-allocation ambulances. training models well validation...

10.1061/9780784413616.203 article EN Computing in Civil and Building Engineering (2014) 2014-06-17

Abstract Variable number tandem repeat sequences (VNTR) are composed of consecutive repeats short segments DNA with hypervariable count and composition. They include protein coding associations clinical disorders. It has been difficult to incorporate VNTR analysis in disease studies that use short-read sequencing because the traditional approach mapping human reference is less effective for repetitive divergent sequences. We solve reads a repeat-pangenome graph (RPGG), data structure encodes...

10.1101/2020.08.13.249839 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-08-14

Abstract The effectiveness of emergency medical services (EMS) depends on the existing infrastructure and allocation resources. response time for ambulances is in general considered a critical factor to survival EMS patients. challenging task due spatial distribution population geographical layout urban area. configuration ambulance fleets hospitals should be assessed provide an efficient service. Additionally, plays role disaster situations. In this research, effect disasters as disturbance...

10.1520/jte20140084 article EN Journal of Testing and Evaluation 2014-10-14

<ns3:p>In October 2020, 62 scientists from nine nations worked together remotely in the Second Baylor College of Medicine &amp; DNAnexus hackathon, focusing on different related topics Structural Variation, Pan-genomes, and SARS-CoV-2 research. </ns3:p><ns3:p> The overarching focus was to assess current status field identify remaining challenges. Furthermore, how combine strengths interests drive research method development forward. Over four days, eight groups each designed developed new...

10.12688/f1000research.51477.1 preprint EN cc-by F1000Research 2021-03-26

Abstract Understanding the impact of DNA variation on human traits is a fundamental question in genetics. Variable number tandem repeats (VNTRs) make up roughly 3% genome but are often excluded from association analysis due to poor read mappability or divergent repeat content. While methods exist estimate VNTR length short-read data, it known that VNTRs vary both and (motif) composition. Here, we use repeat-pangenome graph (RPGG) constructed 35 haplotype-resolved assemblies detect We align...

10.1101/2022.03.17.484784 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-03-19

This paper presents an off-line handwritten signature verification system based on the Siamese network, where a hybrid architecture is used. The Residual neural Network (ResNet) used to realize powerful feature extraction model such that Writer Independent (WI) features can be effectively learned. A single-layer Neural (NN) Dependent (WD) classifier storage space minimized. For purpose of reducing impact high intraclass variability and ensuring network learn more effectively, we propose...

10.32604/cmc.2022.026717 article EN Computers, materials & continua/Computers, materials & continua (Print) 2022-01-01

<ns3:p>In October 2020, 62 scientists from nine nations worked together remotely in the Second Baylor College of Medicine &amp; DNAnexus hackathon, focusing on different related topics Structural Variation, Pan-genomes, and SARS-CoV-2 research. </ns3:p><ns3:p> The overarching focus was to assess current status field identify remaining challenges. Furthermore, how combine strengths interests drive research method development forward. Over four days, eight groups each designed developed new...

10.12688/f1000research.51477.2 preprint EN cc-by F1000Research 2021-09-03

This paper focuses on offline writer-dependent signature verification using a Siamese convolutional neural network. A network is comprised of equal-weighted twin networks that can be trained to learn feature space in which similar observations are juxtaposed. To reduce the impact high intra-variability and ensure able more effectively, we propose method selecting Reference (REF). Using proposed reference selection, accuracy increased by 6.4%. By utilizing GPDS-160 data-set, designed system...

10.1117/12.2601720 article EN 2021-06-30
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