Jump to content

File:TimeResolvedRNAseqFig2.tif

Page contents not supported in other languages.
This is a file from the Wikimedia Commons
From Wikipedia, the free encyclopedia

Original file (1,516 × 2,578 pixels, file size: 14.91 MB, MIME type: image/tiff)

Summary

Description
English: Comparison of Time Resolved RNA-seq methods. Time series samples requires samples from both before and after all time points, as well as sequencing of all biological samples separately. Affinity purification reduces the number of biological samples required, but increases the number of sequencing runs required. Nucleotide conversion requires the least number of biological samples and sequencing runs overall. h = hours.
Date
Source Own work
Author Lculibrk

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

Captions

Add a one-line explanation of what this file represents

Items portrayed in this file

depicts

1 March 2018

15,633,612 byte

2,578 pixel

1,516 pixel

image/tiff

7a047062adfff334831c55e75fa30fd1423745da

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current07:10, 2 March 2018Thumbnail for version as of 07:10, 2 March 20181,516 × 2,578 (14.91 MB)LculibrkUser created page with UploadWizard

The following page uses this file:

Metadata