Studying and modelling dynamic biological processes using time-series gene expression data

By Ziv Bar-Joseph, Anthony Gitter, Itamar Simon. Nature reviews genetics, 2012

487 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/2ef4495870ffd1d09cde00a62bf454d531d08196

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. J. Lee
2. Duhee Bang
3. Byungjin Hwang

Citations in the corpus

• Revisiting Global Gene Expression Analysis (2012, unknown): “The clear implication is that the use of spike-in controls normalized to cell number should become the default standard for all expression experiments, as opposed to their more limited use in experiments where gross changes in RNA levels are already anticipated, as exemplified by transcription shutd”
• Single-cell RNA sequencing technologies and bioinformatics pipelines (2018, methodology): “To study genome-scale dynamic processes in bulk cells, the cells must be synchronized using sophisticated techniques 85 .”