官方服务：
资源简介：
To identify novel fusion genes in Myeloma samplesEGA study EGAS00001000220
应用场景：
创建时间：
2017-07-26
相关数据集
Partial Anchored Capture and Long-Read Sequencing (PACLseq) Enable An Innovative Diagnostic Method for Ph-like ALL
Fusion genes play a crucial role in the development of Philadelphia chromosome-like acute lymphoblastic leukemia (Ph-like ALL). Timely and accurate diagnosis of Ph-like ALL is essential for guiding tr
NIAID Data Ecosystem70
Targeted Capture VDJ and Translocation Detection in Myeloma Cell Lines. Targeted Capture VDJ and Translocation Detection in Myeloma Cell Lines
Multiple myeloma is a disease of malignant plasma cells characterized by oncogenic translocations in immunoglobulin genes and a clonal V(D)J signature, which can both be used to track disease over tim
NIAID Data Ecosystem60
Additional file 2 of Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification
Additional file 2. Validated fusion genes in TCGA samples.
NIAID Data Ecosystem40
Genome-wide profiling of endothelial progenitor cells in multiple myeloma: disease-relevant pathways and genomic markers
This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
NIAID Data Ecosystem70
Novel pedigree analysis implicates DNA repair and chromatin remodeling in multiple myeloma risk
The high-risk pedigree (HRP) design is an established strategy to discover rare, highly-penetrant, Mendelian-like causal variants. Its success, however, in complex traits has been modest, largely due
NIAID Data Ecosystem50
