ArticleScientific data2015
Sequence data for Clostridium autoethanogenum using three generations of sequencing technologies.
Article in Scientific data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed.
- Article
- Recent advance of microbial mercury methylation in the environment.Applied microbiology and biotechnology · 2024Review
- The Restriction-Modification Systems ofMicroorganisms · 2023Article
- Effects of Tributyrin Supplementation on Growth Performance, Intestinal Digestive Enzyme Activity, Antioxidant Capacity, and Inflammation-Related Gene Expression of Large Yellow Croaker (Aquaculture nutrition · 2023Article
- Comparative transcriptomics of the irradiated melon fly (Frontiers in physiology · 2023Article
- Dietary Effect ofMetabolites · 2022Article
- Agr Quorum Sensing influences the Wood-Ljungdahl pathway in Clostridium autoethanogenum.Scientific reports · 2022Article
- Replacement of dietary fish meal withFrontiers in physiology · 2022Article
- Article
- Synthetic Biology on Acetogenic Bacteria for Highly Efficient Conversion of C1 Gases to Biochemicals.International journal of molecular sciences · 2020Review
- Current Progression: Application of High-Throughput Sequencing Technique in Space Microbiology.BioMed research international · 2020Review
- Development of a metabolic pathway transfer and genomic integration system for the syngas-fermenting bacteriumBiotechnology for biofuels · 2019Article
- Gas fermentation: cellular engineering possibilities and scale up.Microbial cell factories · 2017Review
- Metabolic engineering of Clostridium autoethanogenum for selective alcohol production.Metabolic engineering · 2017Article
- A Case Study into Microbial Genome Assembly Gap Sequences and Finishing Strategies.Frontiers in microbiology · 2017Article
- Article
- Near-Complete Genome Sequence of Thalassospira sp. Strain KO164 Isolated from a Lignin-Enriched Marine Sediment Microcosm.Genome announcements · 2016Article
- Application of Long Sequence Reads To Improve Genomes for Clostridium thermocellum AD2, Clostridium thermocellum LQRI, and Pelosinus fermentans R7.Genome announcements · 2016Article
- Insights into CO2 Fixation Pathway of Clostridium autoethanogenum by Targeted Mutagenesis.mBio · 2016Article
- Near-Complete Genome Sequence of Clostridium paradoxum Strain JW-YL-7.Genome announcements · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
During the past decade, DNA sequencing output has been mostly dominated by the second generation sequencing platforms which are characterized by low cost, high throughput and shorter read lengths for example, Illumina. The emergence and development of so called third generation sequencing platforms such as PacBio has permitted exceptionally long reads (over 20 kb) to be generated. Due to read length increases, algorithm improvements and hybrid assembly approaches, the concept of one chromosome, one contig and automated finishing of microbial genomes is now a realistic and achievable task for many microbial laboratories. In this paper, we describe high quality sequence datasets which span three generations of sequencing technologies, containing six types of data from four NGS platforms and originating from a single microorganism, Clostridium autoethanogenum. The dataset reported here will be useful for the scientific community to evaluate upcoming NGS platforms, enabling comparison of existing and novel bioinformatics approaches and will encourage interest in the development of innovative experimental and computational methods for NGS data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.