User profiles for X. J. Mu

Xinmeng Jasmine Mu

Broad Institute of MIT & Harvard
Verified email at broadinstitute.org
Cited by 58012

[HTML][HTML] Architecture of the human regulatory network derived from ENCODE data

…, M Hariharan, SG Landt, KK Yan, C Cheng, XJ Mu… - Nature, 2012 - nature.com
Transcription factors bind in a combinatorial fashion to specify the on-and-off states of genes;
the ensemble of these binding events forms a regulatory network, constituting the wiring …

A systematic survey of loss-of-function variants in human protein-coding genes

…, RE Handsaker, JA Rosenfeld, M Fromer, M Jin, XJ Mu… - Science, 2012 - science.org
Genome-sequencing studies indicate that all humans carry many genetic variants predicted
to cause loss of function (LoF) of protein-coding genes, suggesting unexpected redundancy …

Mapping copy number variation by population-scale genome sequencing

…, HYK Lam, J Leng, R Li, Y Li, CY Lin, R Luo, XJ Mu… - Nature, 2011 - nature.com
Genomic structural variants (SVs) are abundant in humans, differing from other forms of
variation in extent, origin and functional impact. Despite progress in SV characterization, the …

[PDF][PDF] Genomic correlates of immune-cell infiltrates in colorectal carcinoma

M Giannakis, XJ Mu, SA Shukla, ZR Qian, O Cohen… - Cell reports, 2016 - cell.com
Large-scale genomic characterization of tumors from prospective cohort studies may yield
new insights into cancer pathogenesis. We performed whole-exome sequencing of 619 …

[HTML][HTML] Genomics and privacy: implications of the new reality of closed data for the field

D Greenbaum, A Sboner, XJ Mu… - PLoS Computational …, 2011 - journals.plos.org
Open source and open data have been driving forces in bioinformatics in the past. However,
privacy concerns may soon change the landscape, limiting future access to important data …

Avelumab plus axitinib versus sunitinib in advanced renal cell carcinoma: biomarker analysis of the phase 3 JAVELIN Renal 101 trial

…, T Powles, L Albiges, JB Haanen, J Larkin, XJ Mu… - Nature medicine, 2020 - nature.com
We report on molecular analyses of baseline tumor samples from the phase 3 JAVELIN
Renal 101 trial (n = 886; NCT02684006 ), which demonstrated significantly prolonged …

[HTML][HTML] The real cost of sequencing: higher than you think!

A Sboner, XJ Mu, D Greenbaum, RK Auerbach… - Genome biology, 2011 - Springer
… Xinmeng Jasmine MuMu XJ, Lu ZJ, Kong Y, Lam HYK, Gerstein MB: Analysis of
genomic variation in non-coding elements using population-scale sequencing data from the …

Integrative annotation of variants from 1092 humans: application to cancer genomics

E Khurana, Y Fu, V Colonna, XJ Mu, HM Kang… - Science, 2013 - science.org
Introduction Plummeting sequencing costs have led to a great increase in the number of
personal genomes. Interpreting the large number of variants in them, particularly in noncoding …

Genetic mechanisms of immune evasion in colorectal cancer

CS Grasso, M Giannakis, DK Wells, T Hamada, XJ Mu… - Cancer discovery, 2018 - AACR
To understand the genetic drivers of immune recognition and evasion in colorectal cancer,
we analyzed 1,211 colorectal cancer primary tumor samples, including 179 classified as …

[HTML][HTML] FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer

Y Fu, Z Liu, S Lou, J Bedford, XJ Mu, KY Yip… - Genome biology, 2014 - Springer
Identification of noncoding drivers from thousands of somatic alterations in a typical tumor is
a difficult and unsolved problem. We report a computational framework, FunSeq2, to …