Evidence map›Paper›PMID 38712138›Full record

ArticlebioRxiv : the preprint server for biology2024

Utility Analyses of AVITI Sequencing Chemistry.

Silvia Liu, Caroline Obert, Yan-Ping Yu, Junhua Zhao, Bao-Guo Ren, Jia-Jun Liu, Kelly Wiseman, Benjamin J Krajacich, Wenjia Wang, Kyle Metcalfe and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Silvia LiuDepartment of Pathology, University of Pittsburgh School of Medicine, United States.
Caroline ObertElement Biosciences Inc, 10055 Barnes Canyon Road, Suite 100, San Diego, CA 92121, United States.
Yan-Ping YuDepartment of Pathology, University of Pittsburgh School of Medicine, United States.
Junhua ZhaoElement Biosciences Inc, 10055 Barnes Canyon Road, Suite 100, San Diego, CA 92121, United States.
Bao-Guo RenDepartment of Pathology, University of Pittsburgh School of Medicine, United States.
Jia-Jun LiuDepartment of Pathology, University of Pittsburgh School of Medicine, United States.
Kelly WisemanElement Biosciences Inc, 10055 Barnes Canyon Road, Suite 100, San Diego, CA 92121, United States.
Benjamin J KrajacichElement Biosciences Inc, 10055 Barnes Canyon Road, Suite 100, San Diego, CA 92121, United States.
Wenjia WangDepartment of Biostatistics, University of Pittsburgh School of Public Health, United States.
Kyle MetcalfeElement Biosciences Inc, 10055 Barnes Canyon Road, Suite 100, San Diego, CA 92121, United States.
Mat SmithElement Biosciences Inc, 10055 Barnes Canyon Road, Suite 100, San Diego, CA 92121, United States.
Tuval Ben-YehezkelElement Biosciences Inc, 10055 Barnes Canyon Road, Suite 100, San Diego, CA 92121, United States.
Jian-Hua LuoDepartment of Pathology, University of Pittsburgh School of Medicine, United States.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Pittsburgh Liver Research CenterP30DK120531 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Shuchang Silvia Liu · 2019 to 2026
$10.9M
Genome targeting of liver cancerR56CA229262 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LUO, JIANHUA · 2018 to 2019
$705k
High-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574k
NCATS NIH HHS UL1 TR001857NCI NIH HHS R56 CA229262NIDDK NIH HHS P30 DK120531NIH HHS S10 OD028483
6 · The paper itself

Abstract

Background: DNA sequencing is a critical tool in modern biology. Over the last two decades, it has been revolutionized by the advent of massively parallel sequencing, leading to significant advances in the genome and transcriptome sequencing of various organisms. Nevertheless, challenges with accuracy, lack of competitive options and prohibitive costs associated with high throughput parallel short-read sequencing persist. Results: Here, we conduct a comparative analysis using matched DNA and RNA short-reads assays between Element Biosciences' AVITI and Illumina's NextSeq 550 chemistries. Similar comparisons were evaluated for synthetic long-read sequencing for RNA and targeted single-cell transcripts between the AVITI and Illumina's NovaSeq 6000. For both DNA and RNA short-read applications, the study found that the AVITI produced significantly higher per sequence quality scores. For PCR-free DNA libraries, we observed an average 89.7% lower experimentally determined error rate when using the AVITI chemistry, compared to the NextSeq 550. For short-read RNA quantification, AVITI platform had an average of 32.5% lower error rate than that for NextSeq 550. With regards to synthetic long-read mRNA and targeted synthetic long read single cell mRNA sequencing, both platforms' respective chemistries performed comparably in quantification of genes and isoforms. The AVITI displayed a marginally lower error rate for long reads, with fewer chemistry-specific errors and a higher mutation detection rate. Conclusion: These results point to the potential of the AVITI platform as a competitive candidate in high-throughput short read sequencing analyses when juxtaposed with the Illumina NextSeq 550.

Indexed as

AVITINextSeqNucleic Acid Sequencing

Identifiers

PMID38712138
PMCPMC11071311

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.