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Series GSE246832 Query DataSets for GSE246832
Status Public on Aug 19, 2024
Title Set2: ERCC bulk short-read RNA-seq by Illumina NextSeq platform
Organism synthetic construct
Experiment type Other
Summary 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 genome and transcriptome sequencing of various organisms. Nevertheless, challenges such as accuracy, lack of competitive options and prohibitive costs associated with high throughput parallel short-read sequencing persist. Here, we conduct a comparative analysis between the Element Biosciences AVITI platform and its counterpart the Illumina NextSeq platform, testing DNA and RNA short-read sequencing, as well as synthetic long-read sequencing for single cells and RNA transcripts.
 
Overall design Bulk short-read RNA-seq on ERCC spike-in samples by Illumina NextSeq platform
 
Contributor(s) Liu S, Obert C, Yu Y, Zhao J, Ren B, Blease K, Krajacich BJ, Wang W, Metcalfe K, Smith M, Ben-Yehezkel T, Luo J
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Nov 02, 2023
Last update date Aug 20, 2024
Contact name Shuchang Liu
E-mail(s) shl96@pitt.edu
Organization name University of Pittsburgh
Street address 203 Lothrop Street
City Pittsburgh
State/province PA
ZIP/Postal code 15261
Country USA
 
Platforms (1)
GPL27609 NextSeq 550 (synthetic construct)
Samples (1)
GSM7879929 HEPG2 ERCC spike-in
This SubSeries is part of SuperSeries:
GSE246838 Utility analyses of AVITI sequencing platforms
Relations
BioProject PRJNA1034964

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SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE246832_RAW.tar 3.6 Mb (http)(custom) TAR (of TAB, TXT)
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Raw data are available in SRA

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