Single-cell analysis of childhood leukemia reveals a link between developmental states and ribosomal protein expression as a source of intra-individual heterogeneity

Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data

(2019) Tianyu Wang et al.   BMC BIOINFORMATICS

Unravelling Intratumoral Heterogeneity through High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing

(2019) Alba Rodriguez-Meira et al.   MOLECULAR CELL

Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity

(2019) Peter van Galen et al.   CELL

Somatic mutations and cell identity linked by Genotyping of Transcriptomes

(2019) Anna S. Nam et al.   NATURE

The landscape of genomic alterations across childhood cancers

(2018) Susanne N. Gröbner et al.   NATURE

Integrating single-cell transcriptomic data across different conditions, technologies, and species

(2018) Andrew Butler et al.   NATURE BIOTECHNOLOGY

Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse

(2018) Zinaida Good et al.   NATURE MEDICINE

Genetic Basis of Acute Lymphoblastic Leukemia

(2017) Ilaria Iacobucci et al.   JOURNAL OF CLINICAL ONCOLOGY

Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

(2017) Huipeng Li et al.   NATURE GENETICS

Clonal evolution in leukemia

(2017) Adolfo A Ferrando et al.   NATURE MEDICINE

Single-cell RNA-sequencing uncovers transcriptional states and fate decisions in haematopoiesis

(2017) Emmanouil I. Athanasiadis et al.   Nature Communications

Massively parallel digital transcriptional profiling of single cells

(2017) Grace X. Y. Zheng et al.   Nature Communications

Measuring cancer evolution from the genome

(2016) Trevor A Graham et al.   JOURNAL OF PATHOLOGY

G&T-seq: parallel sequencing of single-cell genomes and transcriptomes

(2015) Iain C Macaulay et al.   NATURE METHODS

Acute Lymphoblastic Leukemia in Children

(2015) Stephen P. Hunger et al.   NEW ENGLAND JOURNAL OF MEDICINE

Rise and fall of subclones from diagnosis to relapse in pediatric B-acute lymphoblastic leukaemia

(2015) Xiaotu Ma et al.   Nature Communications

Sequenza: allele-specific copy number and mutation profiles from tumor sequencing data

(2014) F. Favero et al.   ANNALS OF ONCOLOGY

Ras pathway mutations are prevalent in relapsed childhood acute lymphoblastic leukemia and confer sensitivity to MEK inhibition

(2014) J. Irving et al.   BLOOD

Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics

(2014) Charles Gawad et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

(2014) A. P. Patel et al.   SCIENCE

SciClone: Inferring Clonal Architecture and Tracking the Spatial and Temporal Patterns of Tumor Evolution

(2014) Christopher A. Miller et al.   PLoS Computational Biology

Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples

(2013) Kristian Cibulskis et al.   NATURE BIOTECHNOLOGY

Activating mutations in the NT5C2 nucleotidase gene drive chemotherapy resistance in relapsed ALL

(2013) Gannie Tzoneva et al.   NATURE MEDICINE

Pediatric acute lymphoblastic leukemia: where are we going and how do we get there?

(2012) C.-H. Pui et al.   BLOOD

Molecular genetics of B-precursor acute lymphoblastic leukemia

(2012) Charles G. Mullighan   JOURNAL OF CLINICAL INVESTIGATION

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

(2010) A. McKenna et al.   GENOME RESEARCH

Gene ontology analysis for RNA-seq: accounting for selection bias

(2010) Matthew D Young et al.   GENOME BIOLOGY

Fast and accurate short read alignment with Burrows-Wheeler transform

(2009) H. Li et al.   BIOINFORMATICS

Fast unfolding of communities in large networks

(2008) Vincent D Blondel et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT