Cargando…
Exploring the Shallow End; Estimating Information Content in Transcriptomics Studies
Transcriptomics is a major platform to study organismal biology. The advent of new parallel sequencing technologies has opened up a new avenue of transcriptomics with ever deeper and deeper sequencing to identify and quantify each and every transcript in a sample. However, this may not be the best u...
Autor principal: | Kliebenstein, Daniel J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3437520/ https://www.ncbi.nlm.nih.gov/pubmed/22973290 http://dx.doi.org/10.3389/fpls.2012.00213 |
Ejemplares similares
-
Meta-analysis of metabolome QTLs in Arabidopsis: trying to estimate the network size controlling genetic variation of the metabolome
por: Joseph, Bindu, et al.
Publicado: (2014) -
Model Misinterpretation within Biology: Phenotypes, Statistics, Networks, and Inference
por: Kliebenstein, Daniel J.
Publicado: (2012) -
The AT-hook motif-encoding gene METABOLIC NETWORK MODULATOR 1 underlies natural variation in Arabidopsis primary metabolism
por: Li, Baohua, et al.
Publicado: (2014) -
Aspects of Invasiveness of Ludwigia and Nelumbo in Shallow Temperate Fluvial Lakes
por: Tóth, Viktor R., et al.
Publicado: (2019) -
Evaluating the Information Content of Shallow Shotgun Metagenomics
por: Hillmann, Benjamin, et al.
Publicado: (2018)