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Status |
Public on Aug 19, 2024 |
Title |
Set2: ERCC bulk short-read RNA-seq by Illumina NextSeq platform |
Organism |
synthetic construct |
Experiment type |
Other
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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.
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Overall design |
Bulk short-read RNA-seq on ERCC spike-in samples by Illumina NextSeq platform
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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 |
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Submission date |
Nov 02, 2023 |
Last update date |
Aug 20, 2024 |
Contact name |
Shuchang Liu |
E-mail(s) |
shl96@pitt.edu
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Organization name |
University of Pittsburgh
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Street address |
203 Lothrop Street
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City |
Pittsburgh |
State/province |
PA |
ZIP/Postal code |
15261 |
Country |
USA |
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Platforms (1) |
GPL27609 |
NextSeq 550 (synthetic construct) |
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Samples (1) |
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This SubSeries is part of SuperSeries: |
GSE246838 |
Utility analyses of AVITI sequencing platforms |
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Relations |
BioProject |
PRJNA1034964 |
Supplementary file |
Size |
Download |
File type/resource |
GSE246832_RAW.tar |
3.6 Mb |
(http)(custom) |
TAR (of TAB, TXT) |
SRA Run Selector |
Raw data are available in SRA |
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