| Title |
On the study of microbial transcriptomes using second- and third-generation sequencing technologies
|
|---|---|
| Published in |
Journal of Microbiology, August 2016
|
| DOI | 10.1007/s12275-016-6233-2 |
| Pubmed ID | |
| Authors |
Sang Chul Choi |
| Abstract |
Second-generation sequencing technologies transformed the study of microbial transcriptomes. They helped reveal the transcription start sites and antisense transcripts of microbial species, improving the microbial genome annotation. Quantification of genome-wide gene expression levels allowed for functional studies of microbial research. Ever-evolving sequencing technologies are reshaping approaches to studying microbial transcriptomes. Recently, Oxford Nanopore Technologies delivered a sequencing platform called MinION, a third-generation sequencing technology, to the research community. We expect it to be the next sequencing technology that enables breakthroughs in life science fields. The studies of microbial transcriptomes will be no exception. In this paper, we review microbial transcriptomics studies using second- generation sequencing technology. We also discuss the prospect of microbial transcriptomics studies with thirdgeneration sequencing. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Chile | 1 | 1% |
| France | 1 | 1% |
| Unknown | 84 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 22% |
| Researcher | 14 | 16% |
| Student > Master | 14 | 16% |
| Student > Doctoral Student | 8 | 9% |
| Student > Bachelor | 7 | 8% |
| Other | 14 | 16% |
| Unknown | 12 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 33% |
| Biochemistry, Genetics and Molecular Biology | 26 | 30% |
| Immunology and Microbiology | 5 | 6% |
| Computer Science | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 15 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 February 2024.
All research outputs
#3,230,672
of 25,481,734 outputs
Outputs from Journal of Microbiology
#35
of 875 outputs
Outputs of similar age
#56,607
of 381,832 outputs
Outputs of similar age from Journal of Microbiology
#1
of 8 outputs
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