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[Transcript assembly and quality assessment].

Authors: Feilong, Deng; Xianbo, Jia; Songjia, Lai; Yiping, Liu; Shiyi, Chen;

[Transcript assembly and quality assessment].

Abstract

The transcript assembly is essential for transcriptome studies trom next-generation sequencing data. However, there are still many faults of algorithms in the present assemblers, which should be largely improved in the future. According to the requirement of reference genome or not, the transcript assembly could be classified into the genome-guided and de novo methods. The two methods have different algorithms and implementation processes. The quality of assembled transcripts depends on a large number of factors, such as the PCR amplification, sequencing techniques, assembly algorithm and genome character. Here, we reviewed the present tools of transcript assembly and various indexes for assessing the quality of assembled transcripts, which would help biologists to determine which assembler should be used in their studies.

Keywords

Genome, Gene Expression Profiling, High-Throughput Nucleotide Sequencing, Genomics, Sequence Analysis, DNA, Transcriptome, Polymerase Chain Reaction, Algorithms

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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