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Nae-Chyun Chen

Showing results (1-10 of 15) with videos related to

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Bioinformatics (Oxford, England)|May 26, 2021
LevioSAM: fast lift-over of variant-aware reference alignmentsTaher Mun, Nae-Chyun Chen, Ben Langmead
Genome Biology|December 19, 2018
FORGe: prioritizing variants for graph genomesJacob Pritt, Nae-Chyun Chen, Ben Langmead
Genome Biology|April 19, 2024
Measuring, visualizing, and diagnosing reference bias with biastoolsMao-Jan Lin, Sheila Iyer, Nae-Chyun Chen, et al.
Biorxiv : the Preprint Server for Biology|September 25, 2023
Measuring, visualizing and diagnosing reference bias with biastoolsMao-Jan Lin, Sheila Iyer, Nae-Chyun Chen, et al.
Genome Biology|January 5, 2021
Reference flow: reducing reference bias using multiple population genomesNae-Chyun Chen, Brad Solomon, Taher Mun, et al.
BMC Bioinformatics|May 12, 2023
Improving variant calling using population data and deep learningNae-Chyun Chen, Alexey Kolesnikov, Sidharth Goel, et al.
Nature Methods|November 30, 2023
Improved sequence mapping using a complete reference genome and lift-overNae-Chyun Chen, Luis F Paulin, Fritz J Sedlazeck, et al.
Biorxiv : the Preprint Server for Biology|September 16, 2024
Genotype inference from aggregated chromatin accessibility data reveals genetic regulatory mechanismsBrandon M Wenz, Yuan He, Nae-Chyun Chen, et al.
Genome Biology|March 30, 2025
Genotype inference from aggregated chromatin accessibility data reveals genetic regulatory mechanismsBrandon M Wenz, Yuan He, Nae-Chyun Chen, et al.
Frontiers in Immunology|September 26, 2022
Profiling genes encoding the adaptive immune receptor repertoire with gAIRR SuiteMao-Jan Lin, Yu-Chun Lin, Nae-Chyun Chen, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|May 26, 2021
LevioSAM: fast lift-over of variant-aware reference alignmentsTaher Mun, Nae-Chyun Chen, Ben Langmead
Genome Biology|December 19, 2018
FORGe: prioritizing variants for graph genomesJacob Pritt, Nae-Chyun Chen, Ben Langmead
Genome Biology|April 19, 2024
Measuring, visualizing, and diagnosing reference bias with biastoolsMao-Jan Lin, Sheila Iyer, Nae-Chyun Chen, et al.
Biorxiv : the Preprint Server for Biology|September 25, 2023
Measuring, visualizing and diagnosing reference bias with biastoolsMao-Jan Lin, Sheila Iyer, Nae-Chyun Chen, et al.
Genome Biology|January 5, 2021
Reference flow: reducing reference bias using multiple population genomesNae-Chyun Chen, Brad Solomon, Taher Mun, et al.
BMC Bioinformatics|May 12, 2023
Improving variant calling using population data and deep learningNae-Chyun Chen, Alexey Kolesnikov, Sidharth Goel, et al.
Nature Methods|November 30, 2023
Improved sequence mapping using a complete reference genome and lift-overNae-Chyun Chen, Luis F Paulin, Fritz J Sedlazeck, et al.
Biorxiv : the Preprint Server for Biology|September 16, 2024
Genotype inference from aggregated chromatin accessibility data reveals genetic regulatory mechanismsBrandon M Wenz, Yuan He, Nae-Chyun Chen, et al.
Genome Biology|March 30, 2025
Genotype inference from aggregated chromatin accessibility data reveals genetic regulatory mechanismsBrandon M Wenz, Yuan He, Nae-Chyun Chen, et al.
Frontiers in Immunology|September 26, 2022
Profiling genes encoding the adaptive immune receptor repertoire with gAIRR SuiteMao-Jan Lin, Yu-Chun Lin, Nae-Chyun Chen, et al.
Pageof 2