Profile of the RNA in exosomes from astrocytes and microglia using deep sequencing: implications for neurodegeneration mechanisms

Neural Regeneration Research ◽

10.4103/1673-5374.320999 ◽

2022 ◽

Vol 17 (3) ◽

pp. 608

Author(s):

Shun-Xing Zhu ◽

Song-Lin Zhou ◽

Hui-Min Xie ◽

Xing Su ◽

Feng-Yuan Zhang ◽

...

Keyword(s):

Deep Sequencing

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Faculty Opinions recommendation of SHOREmap: simultaneous mapping and mutation identification by deep sequencing.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1164035.624698 ◽

2009 ◽

Author(s):

Julin Maloof

Keyword(s):

Deep Sequencing ◽

Mutation Identification

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Faculty Opinions recommendation of Focused evolution of HIV-1 neutralizing antibodies revealed by structures and deep sequencing.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.13237957.14588055 ◽

2011 ◽

Author(s):

Leonidas Stamatatos ◽

Noah Sather

Keyword(s):

Deep Sequencing ◽

Neutralizing Antibodies ◽

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Faculty Opinions recommendation of Genome-wide identification and characterization of replication origins by deep sequencing.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.716547834.793464955 ◽

2012 ◽

Author(s):

Joel Huberman

Keyword(s):

Deep Sequencing ◽

Replication Origins ◽

Genome Wide ◽

Identification And Characterization

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Faculty Opinions recommendation of Evolution and functional impact of rare coding variation from deep sequencing of human exomes.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717648004.793152804 ◽

2012 ◽

Author(s):

Alon Keinan

Keyword(s):

Deep Sequencing ◽

Functional Impact

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Faculty Opinions recommendation of Deep sequencing of 10,000 human genomes.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.726814491.793525383 ◽

2016 ◽

Author(s):

Manuel Corpas

Keyword(s):

Deep Sequencing ◽

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Faculty Opinions recommendation of Error rates, PCR recombination, and sampling depth in HIV-1 whole genome deep sequencing.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.727160877.793531007 ◽

2017 ◽

Author(s):

Sarah Rowland-Jones ◽

Sophie Andrews

Keyword(s):

Deep Sequencing ◽

Error Rates ◽

Whole Genome ◽

Sampling Depth ◽

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Quasispecies Pattern of Hepatitis B Virus Predicts Hepatocellular Carcinoma Using Deep-Sequencing and Machine Learning

SSRN Electronic Journal ◽

10.2139/ssrn.3582725 ◽

2020 ◽

Author(s):

Shipeng Chen ◽

Zihan Zhang ◽

Ying Wang ◽

Meng Fang ◽

Jun Zhou ◽

...

Keyword(s):

Machine Learning ◽

Hepatocellular Carcinoma ◽

Hepatitis B Virus ◽

Hepatitis B ◽

Deep Sequencing ◽

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Identification of garlic-infecting leek yellow stripe virus through deep-sequencing analyses from Iran

VirusDisease ◽

10.1007/s13337-021-00733-z ◽

2021 ◽

Author(s):

Azadeh Entezari ◽

Mohsen Mehrvar ◽

Mohammad Zakiaghl

Keyword(s):

Deep Sequencing ◽

Leek Yellow Stripe Virus ◽

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Deep sequencing of the Sanghuangporus vaninii transcriptome reveals dynamic landscapes of candidate genes involved in the biosynthesis of active compounds

Archives of Microbiology ◽

10.1007/s00203-021-02225-6 ◽

2021 ◽

Author(s):

Qiumei Zhou ◽

Jiuxiang Wang ◽

Hui Jiang ◽

Gaofei Wang ◽

Yulong Wang

Keyword(s):

Candidate Genes ◽

Deep Sequencing ◽

Active Compounds ◽

Dynamic Landscapes

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Metagenomic deep sequencing obtains taxonomic and functional profiles of Haemaphysalis longicornis that vary in response to different developmental stages and sexes

Experimental and Applied Acarology ◽

10.1007/s10493-020-00582-3 ◽

2021 ◽

Author(s):

Ruiling Zhang ◽

Qian Zhang ◽

Guangfu Yu ◽

Zhong Zhang

Keyword(s):

Deep Sequencing ◽

Developmental Stages ◽

Haemaphysalis Longicornis ◽

Functional Profiles

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