scholarly article | Q13442814 |
P356 | DOI | 10.1007/S10955-017-1945-1 |
P932 | PMC publication ID | 6051708 |
P698 | PubMed publication ID | 30034030 |
P894 | zbMATH Open document ID | 1396.92039 |
P50 | author | Raúl Rabadán | Q7296181 |
Hossein Khiabanian | Q55167918 | ||
Laura Pasqualucci | Q30303485 | ||
P2093 | author name string | Gyan Bhanot | |
Nicholas Chiorazzi | |||
Sonia Marsilio | |||
P2860 | cites work | Mutational and structural analysis of diffuse large B-cell lymphoma using whole-genome sequencing | Q37098851 |
Clinical impact of small subclones harboring NOTCH1, SF3B1 or BIRC3 mutations in chronic lymphocytic leukemia | Q37216310 | ||
How tumours escape mass destruction | Q37287162 | ||
Mutational landscape, clonal evolution patterns, and role of RAS mutations in relapsed acute lymphoblastic leukemia | Q37322911 | ||
ERIC recommendations on TP53 mutation analysis in chronic lymphocytic leukemia | Q37980658 | ||
Origins of lymphatic and distant metastases in human colorectal cancer. | Q38373329 | ||
Clinical Implications of Novel Genomic Discoveries in Chronic Lymphocytic Leukemia | Q38744632 | ||
Subclonal variant calling with multiple samples and prior knowledge | Q38940323 | ||
DNA damage is a pervasive cause of sequencing errors, directly confounding variant identification. | Q38956391 | ||
Integrating liquid biopsies into the management of cancer | Q39157824 | ||
Clonal evolution of glioblastoma under therapy. | Q39704836 | ||
Multiplex Real-Time PCR Assays that Measure the Abundance of Extremely Rare Mutations Associated with Cancer | Q41986671 | ||
Universal Patterns of Selection in Cancer and Somatic Tissues | Q46278243 | ||
Somatic CLL mutations occur at multiple distinct hematopoietic maturation stages: documentation and cautionary note regarding cell fraction purity | Q50081106 | ||
Reliable detection of subclonal single-nucleotide variants in tumour cell populations. | Q51372620 | ||
Tracing the origins of relapse in acute myeloid leukaemia to stem cells. | Q51838074 | ||
Chronic lymphocytic leukaemia | Q56270980 | ||
Robustness of Amplicon Deep Sequencing Underlines Its Utility in Clinical Applications | Q57740675 | ||
Mutations of Bacteria from Virus Sensitivity to Virus Resistance | Q24533278 | ||
Fast and accurate short read alignment with Burrows-Wheeler transform | Q24653853 | ||
PCR-based methods for the enrichment of minority alleles and mutations | Q24657701 | ||
ABT-199, a potent and selective BCL-2 inhibitor, achieves antitumor activity while sparing platelets | Q27683708 | ||
Assessment of Minimal Residual Disease in Standard-Risk AML. | Q27853325 | ||
Clinical impact of clonal and subclonal TP53, SF3B1, BIRC3, NOTCH1, and ATM mutations in chronic lymphocytic leukemia. | Q27853333 | ||
Chronic lymphocytic leukemia: 2015 Update on diagnosis, risk stratification, and treatment | Q28082086 | ||
Integrated mutational and cytogenetic analysis identifies new prognostic subgroups in chronic lymphocytic leukemia | Q28394721 | ||
Viral diversity and clonal evolution from unphased genomic data. | Q30370595 | ||
Detecting ultralow-frequency mutations by Duplex Sequencing | Q30413211 | ||
Discovery and characterization of artifactual mutations in deep coverage targeted capture sequencing data due to oxidative DNA damage during sample preparation | Q30455659 | ||
Detection and quantification of rare mutations with massively parallel sequencing | Q30472217 | ||
An empirical Bayesian framework for somatic mutation detection from cancer genome sequencing data | Q30597080 | ||
An empirical Bayes method for genotyping and SNP detection using multi-sample next-generation sequencing data | Q31112462 | ||
Clinical impact of small TP53 mutated subclones in chronic lymphocytic leukemia | Q33595764 | ||
Kinetic hairpin oligonucleotide blockers for selective amplification of rare mutations | Q33985749 | ||
A new approach for detecting low-level mutations in next-generation sequence data | Q34279191 | ||
PEAR: a fast and accurate Illumina Paired-End reAd mergeR. | Q34379012 | ||
Tumor evolutionary directed graphs and the history of chronic lymphocytic leukemia | Q34453174 | ||
Integrated digital error suppression for improved detection of circulating tumor DNA | Q34520008 | ||
Ultra-deep mutant spectrum profiling: improving sequencing accuracy using overlapping read pairs | Q34583054 | ||
Emerging landscape of oncogenic signatures across human cancers | Q35058708 | ||
SAVI: a statistical algorithm for variant frequency identification | Q35101975 | ||
Chromatin conformation governs T-cell receptor Jβ gene segment usage | Q36300640 | ||
Ibrutinib as Initial Therapy for Patients with Chronic Lymphocytic Leukemia | Q36490049 | ||
Tumor cells can follow distinct evolutionary paths to become resistant to epidermal growth factor receptor inhibition | Q36989342 | ||
Large population solution of the stochastic Luria-Delbruck evolution model | Q37031674 | ||
Rates and mechanisms of bacterial mutagenesis from maximum-depth sequencing | Q37083023 | ||
P433 | issue | 1 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | statistics | Q12483 |
P6104 | maintained by WikiProject | WikiProject Mathematics | Q8487137 |
P304 | page(s) | 143-155 | |
P577 | publication date | 2018-07-01 | |
P1433 | published in | Journal of Statistical Physics | Q1878468 |
P1476 | title | On statistical modeling of sequencing noise in high depth data to assess tumor evolution | |
P478 | volume | 172 |