Results 101 to 110 of about 1,430,518 (311)
Phandango: an interactive viewer for bacterial population genomics
bioRxiv, 2017 Summary Fully exploiting the wealth of data in current bacterial population genomics datasets requires synthesising and integrating different types of analysis across millions of base pairs in hundreds or thousands of isolates.
J. Hadfield +5 more
semanticscholar +1 more source
Frontiers in Plant Science, 2013 BRASSICA GENOME RESEARCH TOPIC Brassica species include important crops and provide unique materials for the study of genome evolution. These crops include six important vegetables and oilseed crops, which have been classically described by “U’s triangle’. The three diploid species B. rapa (A genome), B. nigra (B genome), and B.
Wang, Xiaowu, Freeling, Michael
openaire +3 more sources
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Frontiers in Genetics, 2019 Genomic medicine applications have the potential to considerably improve health care in developing countries in the coming years. However, if developing countries do not improve their capacity for research and development (R&D) in the field, they ...
Martin Hetu +2 more
doaj +1 more source
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
A primer on deep learning in genomics
Nature Genetics, 2018 Deep learning methods are a class of machine learning techniques capable of identifying highly complex patterns in large datasets. Here, we provide a perspective and primer on deep learning applications for genome analysis.
James Zou +5 more
semanticscholar +1 more source
Trends in Genetics, 2016 Eukaryotic genomes are pervasively transcribed but until recently this noncoding transcription was considered to be simply noise. Noncoding transcription units overlap with genes and genes overlap other genes, meaning genomes are extensively interleaved. Experimental interventions reveal high degrees of interdependency between these transcription units,
Mellor, J, Woloszczuk, R, Howe, F
openaire +3 more sources
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
The UCSC Xena platform for public and private cancer genomics data visualization and interpretation
bioRxiv, 2018 UCSC Xena is a visual exploration resource for both public and private omics data, supported through the web-based Xena Browser and multiple turn-key Xena Hubs. This unique archecture allows researchers to view their own data securely, using private Xena
M. Goldman +11 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source