Inferring models of multiscale copy number evolution for single-tumor phylogenetics
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Inferring models of multiscale copy number evolution for single-tumor phylogenetics
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume 31, Issue 12, Pages i258-i267
Publisher
Oxford University Press (OUP)
Online
2015-06-14
DOI
10.1093/bioinformatics/btv233
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Clonal evolution in breast cancer revealed by single nucleus genome sequencing
- (2014) Yong Wang et al. NATURE
- Cancer Evolution: Mathematical Models and Computational Inference
- (2014) Niko Beerenwinkel et al. SYSTEMATIC BIOLOGY
- Algorithms to Model Single Gene, Single Chromosome, and Whole Genome Copy Number Changes Jointly in Tumor Phylogenetics
- (2014) Salim Akhter Chowdhury et al. PLoS Computational Biology
- Phylogenetic analysis of multiprobe fluorescence in situ hybridization data from tumor cell populations
- (2013) Salim Akhter Chowdhury et al. BIOINFORMATICS
- Methods and challenges in timing chromosomal abnormalities within cancer samples
- (2013) Elizabeth Purdom et al. BIOINFORMATICS
- Cancer heterogeneity: implications for targeted therapeutics
- (2013) R Fisher et al. BRITISH JOURNAL OF CANCER
- Chromosomal instability (CIN): what it is and why it is crucial to cancer evolution
- (2013) Henry H. Heng et al. CANCER AND METASTASIS REVIEWS
- Single-Cell Genetic Analysis of Ductal Carcinoma in Situ and Invasive Breast Cancer Reveals Enormous Tumor Heterogeneity yet Conserved Genomic Imbalances and Gain of MYC during Progression
- (2012) Kerstin Heselmeyer-Haddad et al. AMERICAN JOURNAL OF PATHOLOGY
- Intratumoral heterogeneity of receptor tyrosine kinases EGFR and PDGFRA amplification in glioblastoma defines subpopulations with distinct growth factor response
- (2012) N. J. Szerlip et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Evolutionary Pathways in BRCA1-Associated Breast Tumors
- (2012) Filipe C. Martins et al. Cancer Discovery
- Mosaic Amplification of Multiple Receptor Tyrosine Kinase Genes in Glioblastoma
- (2011) Matija Snuderl et al. CANCER CELL
- Accurate Reconstruction of the Temporal Order of Mutations in Neoplastic Progression
- (2011) Kathleen Sprouffske et al. Cancer Prevention Research
- Estimation of rearrangement phylogeny for cancer genomes
- (2011) C. D. Greenman et al. GENOME RESEARCH
- Tumour evolution inferred by single-cell sequencing
- (2011) Nicholas Navin et al. NATURE
- Approximate Bayesian Computation in Evolution and Ecology
- (2010) Mark A. Beaumont Annual Review of Ecology Evolution and Systematics
- Count: evolutionary analysis of phylogenetic profiles with parsimony and likelihood
- (2010) M. Csuos BIOINFORMATICS
- Tumour expression of lymphangiogenic growth factors but not lymphatic vessel density is implicated in human cervical cancer progression
- (2010) Nikolia Sotiropoulou et al. PATHOLOGY
- Somatic Mutation Profiles of MSI and MSS Colorectal Cancer Identified by Whole Exome Next Generation Sequencing and Bioinformatics Analysis
- (2010) Bernd Timmermann et al. PLoS One
- Fluorescence in Situ Hybridization Markers for Prediction of Cervical Lymph Node Metastases
- (2009) Darawalee Wangsa et al. AMERICAN JOURNAL OF PATHOLOGY
- Tumor heterogeneity: Causes and consequences
- (2009) Andriy Marusyk et al. BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER
- Inferring progression models for CGH data
- (2009) Jun Liu et al. BIOINFORMATICS
- Transcription Factor PROX1 Induces Colon Cancer Progression by Promoting the Transition from Benign to Highly Dysplastic Phenotype
- (2008) Tatiana V. Petrova et al. CANCER CELL
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started