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rnaseq v3 pico input mammalian  (TaKaRa)


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    TaKaRa rnaseq v3 pico input mammalian
    Rnaseq V3 Pico Input Mammalian, supplied by TaKaRa, used in various techniques. Bioz Stars score: 97/100, based on 423 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/rnaseq v3 pico input mammalian/product/TaKaRa
    Average 97 stars, based on 423 article reviews
    rnaseq v3 pico input mammalian - by Bioz Stars, 2026-02
    97/100 stars

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    Overview of the PRECISE-MG1655 dataset. ( A ) Growth of <t>single-protocol</t> <t>RNA-seq</t> data for wild-type E. coli MG1655 present in the PRECISE, PRECISE-1K, and PRECISE-MG1655 datasets. ( B ) Visual representation of the composition of the condition-space of the PRECISE-MG1655 dataset based on select metadata categories [created in BioRender. Palsson, B. (2026) https://BioRender.com/w6f4azs ]. ( C ) Histogram of Pearson’s r correlation between gene expression (log 2 [TPM]) of all samples in the dataset, including both replicate (green bars) and non-replicate (blue bars) pairs. ( D ) Scatter plot of the first two principal components (PCs) in the dataset, colored by project ( n = 584). The metadata for each project is listed in .
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    Overview of the PRECISE-MG1655 dataset. ( A ) Growth of <t>single-protocol</t> <t>RNA-seq</t> data for wild-type E. coli MG1655 present in the PRECISE, PRECISE-1K, and PRECISE-MG1655 datasets. ( B ) Visual representation of the composition of the condition-space of the PRECISE-MG1655 dataset based on select metadata categories [created in BioRender. Palsson, B. (2026) https://BioRender.com/w6f4azs ]. ( C ) Histogram of Pearson’s r correlation between gene expression (log 2 [TPM]) of all samples in the dataset, including both replicate (green bars) and non-replicate (blue bars) pairs. ( D ) Scatter plot of the first two principal components (PCs) in the dataset, colored by project ( n = 584). The metadata for each project is listed in .
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    Overview of the PRECISE-MG1655 dataset. ( A ) Growth of <t>single-protocol</t> <t>RNA-seq</t> data for wild-type E. coli MG1655 present in the PRECISE, PRECISE-1K, and PRECISE-MG1655 datasets. ( B ) Visual representation of the composition of the condition-space of the PRECISE-MG1655 dataset based on select metadata categories [created in BioRender. Palsson, B. (2026) https://BioRender.com/w6f4azs ]. ( C ) Histogram of Pearson’s r correlation between gene expression (log 2 [TPM]) of all samples in the dataset, including both replicate (green bars) and non-replicate (blue bars) pairs. ( D ) Scatter plot of the first two principal components (PCs) in the dataset, colored by project ( n = 584). The metadata for each project is listed in .
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    Overview of the PRECISE-MG1655 dataset. ( A ) Growth of <t>single-protocol</t> <t>RNA-seq</t> data for wild-type E. coli MG1655 present in the PRECISE, PRECISE-1K, and PRECISE-MG1655 datasets. ( B ) Visual representation of the composition of the condition-space of the PRECISE-MG1655 dataset based on select metadata categories [created in BioRender. Palsson, B. (2026) https://BioRender.com/w6f4azs ]. ( C ) Histogram of Pearson’s r correlation between gene expression (log 2 [TPM]) of all samples in the dataset, including both replicate (green bars) and non-replicate (blue bars) pairs. ( D ) Scatter plot of the first two principal components (PCs) in the dataset, colored by project ( n = 584). The metadata for each project is listed in .
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    Overview of the PRECISE-MG1655 dataset. ( A ) Growth of single-protocol RNA-seq data for wild-type E. coli MG1655 present in the PRECISE, PRECISE-1K, and PRECISE-MG1655 datasets. ( B ) Visual representation of the composition of the condition-space of the PRECISE-MG1655 dataset based on select metadata categories [created in BioRender. Palsson, B. (2026) https://BioRender.com/w6f4azs ]. ( C ) Histogram of Pearson’s r correlation between gene expression (log 2 [TPM]) of all samples in the dataset, including both replicate (green bars) and non-replicate (blue bars) pairs. ( D ) Scatter plot of the first two principal components (PCs) in the dataset, colored by project ( n = 584). The metadata for each project is listed in .

    Journal: Nucleic Acids Research

    Article Title: The transcriptional regulatory network of the Escherichia coli MG1655 reference strain

    doi: 10.1093/nar/gkag059

    Figure Lengend Snippet: Overview of the PRECISE-MG1655 dataset. ( A ) Growth of single-protocol RNA-seq data for wild-type E. coli MG1655 present in the PRECISE, PRECISE-1K, and PRECISE-MG1655 datasets. ( B ) Visual representation of the composition of the condition-space of the PRECISE-MG1655 dataset based on select metadata categories [created in BioRender. Palsson, B. (2026) https://BioRender.com/w6f4azs ]. ( C ) Histogram of Pearson’s r correlation between gene expression (log 2 [TPM]) of all samples in the dataset, including both replicate (green bars) and non-replicate (blue bars) pairs. ( D ) Scatter plot of the first two principal components (PCs) in the dataset, colored by project ( n = 584). The metadata for each project is listed in .

    Article Snippet: Sequencing libraries with an average insert length of ∼300 bp were created using a KAPA stranded RNA-Seq Kit (Kapa Biosystems KK8401) by following the manufacturer’s protocol.

    Techniques: RNA Sequencing, Gene Expression