A guide to using MapMan to visualize and compare Omics data in plants: a case study in the crop species, Maize.

By Björn Usadel, F. Poree, Axel Nagel, Marc Lohse, Angelika Czedik-Eysenberg, Mark Stitt. Plant, Cell and Environment, 2009

534 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/54c3adb4fe49184d3527ebd93810ef38c709bb77

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. Alisdair R. Fernie
2. Mark Stitt
3. Björn Usadel
4. Ian Small
5. Anthony M. Bolger
6. Marc Lohse
7. Shifu Chen
8. Javier Tamames

Citations in the corpus

• SUBA3: a database for integrating experimentation and prediction to define the SUBcellular location of proteins in Arabidopsis (2012, methodology): “This was achieved using a protein ‘reference set’ (RS) compiled by manual analysis of TAIR10 annotation and MapMan (41) evaluation of biochemical pathways and functional groups.”
• RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics (2012, methodology): “When working with plant data, users can choose to functionally annotate the data based on MapMan BINs (25) in a last step.”