Martin J Aryee

发表

Meta-Analysis With a Continuous Covariate That Is Differentially Categorized Across Studies.

Jamie Perin, Christa L Fischer Walker, Robert E Black, 2016, American journal of epidemiology.

hichipper: a preprocessing pipeline for calling DNA loops from HiChIP data

Martin J. Aryee, Martin J Aryee, Caleb A Lareau, 2018, Nature Methods.

Open-source guideseq software for analysis of GUIDE-seq data

Martin J. Aryee, Martin J Aryee, J Keith Joung, 2016, Nature Biotechnology.

Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM

Shuigeng Zhou, Jihong Guan, Andrei Zinovyev, 2019, Nature Communications.

Defining CRISPR–Cas9 genome-wide nuclease activities with CIRCLE-seq

Martin J. Aryee, Martin J Aryee, J Keith Joung, 2018, Nature Protocols.

CRISPR DNA base editors with reduced RNA off-target and self-editing activities

Martin J. Aryee, Martin J Aryee, Caleb A Lareau, 2019, Nature Biotechnology.

Coverage recommendations for methylation analysis by whole genome bisulfite sequencing

Martin J. Aryee, Martin J Aryee, Alexander Meissner, 2014, Nature Methods.

Inconsistency and features of single nucleotide variants detected in whole exome sequencing versus transcriptome sequencing: A case study in lung cancer.

Junfeng Xia, Peilin Jia, William Pao, 2015, Methods.

Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts

Martin J Aryee, Brian Herb, Andrew P Feinberg, 2009, Nature Genetics.

Genome-wide specificities of CRISPR-Cas Cpf1 nucleases in human cells

Martin J Aryee, Zachary R McCaw, J Keith Joung, 2016, Nature Biotechnology.

DNA methylation shows genome-wide association of NFIX, RAPGEF2 and MSRB3 with gestational age at birth.

Martin J. Aryee, Martin J Aryee, Rafael A Irizarry, 2012, International journal of epidemiology.

Accurate genome-scale percentage DNA methylation estimates from microarray data.

Zhijin Wu, Martin J Aryee, Rafael A Irizarry, 2011, Biostatistics.

GeMes, clusters of DNA methylation under genetic control, can inform genetic and epigenetic analysis of disease.

Luigi Ferrucci, Xin Li, Martin J. Aryee, 2014, American journal of human genetics.

Corrigendum: CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR–Cas9 nuclease off-targets

Martin J Aryee, J Keith Joung, Shengdar Q Tsai, 2018, Nature Methods.