Improved detection of differentially represented DNA barcodes for high‐throughput clonal phenomics-Reference-Cited by-同舟云学术

Improved detection of differentially represented DNA barcodes for high‐throughput clonal phenomics

Published:2020-03 Issue:3 Volume:16 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Akimov Yevhen¹^ORCID,Bulanova Daria¹²,Timonen Sanna¹,Wennerberg Krister¹²^ORCID,Aittokallio Tero¹³⁴⁵^ORCID

Affiliation:

1. Institute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland

2. Biotech Research and Innovation Centre (BRIC) and Novo Nordisk Foundation Center for Stem Cell Biology (DanStem) University of Copenhagen Copenhagen Denmark

3. Department of Mathematics and Statistics University of Turku Turku Finland

4. Department of Cancer Genetics Institute for Cancer Research Oslo University Hospital Oslo Norway

5. Oslo Centre for Biostatistics and Epidemiology (OCBE) Faculty of Medicine University of Oslo Oslo Norway

Funder

Horizon 2020 Framework Programme

Novo Nordisk Fonden

Academy of Finland

Syöpäjärjestöt

Sigrid Juséliuksen Säätiö

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.20199195

Reference61 articles.

1. Exploiting evolutionary herding to control drug resistance in cancer;Acar A;bioRxiv,2019

2. DNA barcode‐guided lentiviral CRISPRa tool to trace and isolate individual clonal lineages in heterogeneous cancer cell populations;Akimov Y;bioRxiv,2019

3. Control of Lineage-Specific Gene Expression by Functionalized gRNA Barcodes

4. Differential expression analysis for sequence count data

5. Detecting differential usage of exons from RNA-seq data

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