Review



subread-feature counts v1.6.2  (SourceForge net)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    SourceForge net subread-feature counts v1.6.2

    Subread Feature Counts V1.6.2, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/subread-feature counts v1.6.2/product/SourceForge net
    Average 90 stars, based on 1 article reviews
    subread-feature counts v1.6.2 - by Bioz Stars, 2026-06
    90/100 stars

    Images

    1) Product Images from "Interleukin-33 Signaling Controls the Development of Iron-Recycling Macrophages"

    Article Title: Interleukin-33 Signaling Controls the Development of Iron-Recycling Macrophages

    Journal: Immunity

    doi: 10.1016/j.immuni.2020.03.006


    Figure Legend Snippet:

    Techniques Used: Recombinant, Enzyme-linked Immunosorbent Assay, Purification, Software, Sequencing



    Similar Products

    subread-feature counts v1.6.2  (SourceForge net)
    90
    SourceForge net subread-feature counts v1.6.2

    Subread Feature Counts V1.6.2, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/subread-feature counts v1.6.2/product/SourceForge net
    Average 90 stars, based on 1 article reviews
    subread-feature counts v1.6.2 - by Bioz Stars, 2026-06
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Journal: Immunity

    Article Title: Interleukin-33 Signaling Controls the Development of Iron-Recycling Macrophages

    doi: 10.1016/j.immuni.2020.03.006

    Figure Lengend Snippet:

    Article Snippet: Reads were mapped to Ensembl/GRCm38.95 using STAR (v2.5.1) ( https://github.com/alexdobin/STAR/releases/tag/2.5.1b ) with default parameters, trimmed with cutadapt 2.5 ( https://pypi.org/project/cutadapt/2.5/ ) under Python 3.6.2 (parameters:–nextseq-trim = 20 -m 15 for the R1 reads and–nextseq-trim = 20 -m 15 -u 3 for the R2 reads) and counted using Subread-Feature Counts (v1.6.2) ( https://sourceforge.net/projects/subread/files/subread-1.6.2/ ).

    Techniques: Recombinant, Enzyme-linked Immunosorbent Assay, Purification, Software, Sequencing