Shotgun Sequence Assembly

2020 ◽  
Author(s):  
Keyword(s):  
Sequence Assembly ◽  
Shotgun Sequence

scholarly journals Shotgun sequence assembly and recent segmental duplications within the human genome

Nature ◽  
2004 ◽  
Vol 431 (7011) ◽  
pp. 927-930 ◽  
Author(s):  
Xinwei She ◽  
Zhaoshi Jiang ◽  
Royden A. Clark ◽  
Ge Liu ◽  
Ze Cheng ◽  
...  
Keyword(s):  
Human Genome ◽  
Sequence Assembly ◽  
Segmental Duplications ◽  
Shotgun Sequence

Applications of the double-barreled data in whole-genome shotgun sequence assembly and analysis

2005 ◽  
Vol 48 (3) ◽  
pp. 300-306
Author(s):  
Yujun Han ◽  
Peixiang Ni ◽  
Hong Lü ◽  
Jia Ye ◽  
Jianfei Hu ◽  
...  
Keyword(s):  
Sequence Assembly ◽  
Whole Genome Shotgun ◽  
Whole Genome ◽  
Shotgun Sequence ◽  
Whole Genome Shotgun Sequence ◽  
Genome Shotgun Sequence

A Roadmap to Sequence Assembly Evaluation Tools

2020 ◽  
Vol 15 ◽  
Author(s):  
Sara El-Metwally ◽  
Eslam Hamouda ◽  
Mayada Tarek
Keyword(s):  
Data Analysis ◽  
Evaluation Process ◽  
Sequence Assembly ◽  
Assessment Tools ◽  
Accurate Information ◽  
End User ◽  
Evaluation Tools ◽  
Assembly Evaluation ◽  
Assembly Pipeline ◽  
Evaluation Approaches

: The assembly evaluation process is the starting step towards meaningful downstream data analysis. We need to know how much accurate information is included in an assembled sequence before going further to any data analysis stage. Four basic metrics are targeted by different assembly evaluation tools: contiguity, accuracy, completeness, and contamination. Some tools evaluate these metrics based on comparing the assembly results to a closely related reference. Others utilize different types of heuristics to overcome the missing of a guiding reference, such as the consistency between assembly results and sequencing reads. In this paper, we discuss the assembly evaluation process as a core stage in any sequence assembly pipeline and present a roadmap that is followed by most assembly evaluation tools to assess different metrics. We highlight the challenges that currently exist in the assembly evaluation tools and summarize their technical and practical details to help the end-users choose the best tool according to their working scenarios. To address the similarities/differences among different assembly assessment tools, including their evaluation approaches, metrics, comprehensive nature, limitations, usability and how the evaluated results are presented to the end-user, we provide a practical example for evaluating Velvet assembly results for S. aureus dataset from GAGE competition. A Github repository (https://github.com/SaraEl-Metwally/Assembly-Evaluation-Tools) is created for evaluation result details along with their generated command line parameters.

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