Comparative analysis of ovarian transcriptomes between prolific and non-prolific goat breeds via high-throughput sequencing

2017 ◽  
Vol 53 (2) ◽  
pp. 344-351 ◽  
Author(s):  
X-D Zi ◽  
J-Y Lu ◽  
H Zhou ◽  
L Ma ◽  
W Xia ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
High Throughput ◽  
High Throughput Sequencing

Comparative analysis of paddy straw-degrading consortia in China using high-throughput sequencing

2021 ◽  
Vol 167 ◽  
pp. 104077
Author(s):  
Yunhe Ban ◽  
Xiang Li ◽  
Yuqi Li ◽  
Xinyu Li ◽  
Xu Li ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Paddy Straw

scholarly journals Genome-Wide Identification and Comparative Analysis of Conserved and Novel MicroRNAs in Grafted Watermelon by High-Throughput Sequencing

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e57359 ◽  
Author(s):  
Na Liu ◽  
Jinghua Yang ◽  
Shaogui Guo ◽  
Yong Xu ◽  
Mingfang Zhang
Keyword(s):  
Comparative Analysis ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Genome Wide

scholarly journals Comparative Analysis of the Gut Microbial Communities in Forest and Alpine Musk Deer Using High-Throughput Sequencing

2017 ◽  
Vol 8 ◽  
Author(s):  
Xiaolong Hu ◽  
Gang Liu ◽  
Aaron B. A. Shafer ◽  
Yuting Wei ◽  
Juntong Zhou ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Microbial Communities ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Musk Deer

scholarly journals Investigation of the Plasma Virome from Cases of Unexplained Febrile Illness in Tanzania from 2013 to 2014: a Comparative Analysis between Unbiased and VirCapSeq-VERT High-Throughput Sequencing Approaches

mSphere ◽  
2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Simon H. Williams ◽  
Samuel Cordey ◽  
Nishit Bhuva ◽  
Florian Laubscher ◽  
Mary-Anne Hartley ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Positive Selection ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Viral Infections ◽  
Febrile Illness ◽  
Clinical Samples ◽  
Barr Virus ◽  
Outbreak Investigations ◽  
Epstein Barr

ABSTRACT High-throughput sequencing can provide insights into epidemiology and medicine through comprehensive surveys of viral genetic sequences in environmental and clinical samples. Here, we characterize the plasma virome of Tanzanian patients with unexplained febrile illness by using two high-throughput sequencing methods: unbiased sequencing and VirCapSeq-VERT (a positive selection system). Sequences from dengue virus 2, West Nile virus, human immunodeficiency virus type 1, human pegivirus, and Epstein-Barr virus were identified in plasma. Both sequencing strategies recovered nearly complete genomes in samples containing multiple viruses. Whereas VirCapSeq-VERT had better sensitivity, unbiased sequencing provided better coverage of genome termini. Together, these data demonstrate the utility of high-throughput sequencing strategies in outbreak investigations. IMPORTANCE Characterization of the viruses found in the blood of febrile patients provides information pertinent to public health and diagnostic medicine. PCR and culture have historically played an important role in clinical microbiology; however, these methods require a targeted approach and may lack the capacity to identify novel or mixed viral infections. High-throughput sequencing can overcome these constraints. As the cost of running multiple samples continues to decrease, the implementation of high-throughput sequencing for diagnostic purposes is becoming more feasible. Here we present a comparative analysis of findings from an investigation of unexplained febrile illness using two strategies: unbiased high-throughput sequencing and VirCapSeq-VERT, a positive selection high-throughput sequencing system.

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