View source for Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data

__NUMBEREDHEADINGS__
=== Citation ===
Calgaro, M., Romualdi, C., Waldron, L., Risso, D., & Vitulo, N. (2020). Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data. Genome biology, 21(1), 1-31.

[https://doi.org/10.1186/s13059-020-02104-1 Permanent link to the paper]


=== Summary ===
Briefly describe the scope of the paper, i.e. the field of research and/or application.

=== Study outcomes ===
List the paper results concerning method comparison and benchmarking:
==== Outcome O1 ====
The performance of ...

Outcome O1 is presented as Figure X in the original publication. 

==== Outcome O2 ====
...

Outcome O2 is presented as Figure X in the original publication. 
 
==== Outcome On ====
...

Outcome On is presented as Figure X in the original publication. 

==== Further outcomes ====
If intended, you can add further outcomes here.


=== Study design and evidence level ===
==== General aspects ====
You can describe general design aspects here.
The study designs for describing specific outcomes are listed in the following subsections:

==== Design for Outcome O1 ====
* The outcome was generated for ...
* Configuration parameters were chosen ...
* ...
==== Design for Outcome O2 ====
* The outcome was generated for ...
* Configuration parameters were chosen ...
* ...

... 

==== Design for Outcome O ====
* The outcome was generated for ...
* Configuration parameters were chosen ...
* ...

=== Further comments and aspects ===

=== References ===
The list of cited or related literature is placed here.