Transcriptome assembly plays a critical role in studying biological properties and
examining the expression levels of genomes in specific cells. It is also the basis of many
downstream analyses. With the increase of speed and the decrease in cost, massive sequencing
data continues to accumulate. A large number of assembly strategies based on different
computational methods and experiments have been developed. How to efficiently perform
transcriptome assembly with high sensitivity and accuracy becomes a key issue. In this work, the
issues with transcriptome assembly are explored based on different sequencing technologies.
Specifically, transcriptome assemblies with next-generation sequencing reads are divided into
reference-based assemblies and de novo assemblies. The examples of different species are used to
illustrate that long reads produced by the third-generation sequencing technologies can cover fulllength
transcripts without assemblies. In addition, different transcriptome assemblies using the
Hybrid-seq methods and other tools are also summarized. Finally, we discuss the future directions
of transcriptome assemblies.