Conclusion added.

Gemfile.lock

@@ -127,7 +127,7 @@ GEM
     pathutil (0.16.2)
       forwardable-extended (~> 2.6)
     pkg-config (1.5.9)
-    psych (5.2.2)
+    psych (5.2.3)
       date
       stringio
     public_suffix (6.0.1)

topics/variant-analysis/tutorials/baculovirus-isolate-variation/tutorial.bib

@@ -129,4 +129,19 @@ @misc{sequence-analysis-quality-control
 	day = "",
 	url = "\url{https://training.galaxyproject.org/training-material/topics/sequence-analysis/tutorials/quality-control/tutorial.html}",
 	note = "[Online; accessed Wed Jan 08 2025]"
+}
+
+@article{Wennmann2020,
+  title = {Bacsnp: Using Single Nucleotide Polymorphism (SNP) Specificities and Frequencies to Identify Genotype Composition in Baculoviruses},
+  volume = {12},
+  ISSN = {1999-4915},
+  url = {http://dx.doi.org/10.3390/v12060625},
+  DOI = {10.3390/v12060625},
+  number = {6},
+  journal = {Viruses},
+  publisher = {MDPI AG},
+  author = {Wennmann,  J\"{o}rg T. and Fan,  Jiangbin and Jehle,  Johannes A.},
+  year = {2020},
+  month = jun,
+  pages = {625}
 }

topics/variant-analysis/tutorials/baculovirus-isolate-variation/tutorial.md

@@ -27,7 +27,7 @@ key_points:
 - Some SNV positions occur only in certain isolates and are therefore specific for that isolate.
 - SNV specificities can be used as markers to identify isolates and determine mixtures.
 contributors:
-- wennmannj
+- wennj
 
 ---
 
@@ -839,9 +839,13 @@ Most of the SNV positions specific for CpGV-E2 have a frequency around 0.5 (50%)
 
 The same analysis was carried out in more detail with significantly more isolates and it was concluded that CpGV-V15 is a mixture of CpGV-S (49%), CpGV-E2 (42%) and CpGV-M (7%) ({% cite Fan2020 %}).  
 
-The analysis presented in this tutorial is a simplification of the experiment from the publication {% cite Fan2020 %} and is intended to help explain the procedure.  
+The analysis presented in this tutorial is a simplification of the experiment from the publication {% cite Fan2020 %} and {% cite Wennmann2020 %} and is intended to help explain the procedure.  
 
 # Conclusion
 
-Sum up the tutorial and the key takeaways here. We encourage adding an overview image of the
-pipeline used.
+Four Illumina sequencing data sets from isolates of a large dsDNA virus (Cydia pomonella granulovirus, family *Baculoviridae*) were used to demonstrate how insight can be gained into intra-isolate specific genetic variability. SNVs were identified as markers to assess the homogeneity and heterogeneity of these sequenced viral populations. The relative frequency with which alternative nucleotides occur at each variable SNV position was also used to assign SNV specificities, i.e. to identify them as markers for one or a combination of isolates. The markers were used to decipher the composition of a mixed isolate and to estimate its composition.  
+This tutorial provides a basis for understanding the complexity behind viral populations and how consensus sequences, often generated by sequencing and genome assembly, can mask genetic variability. The tutorial also includes a complete Galaxy workflow that includes all the steps described above. It is intended to help you create your own workflow for your own data.  
+
+Please leave me a comment if you liked the workflow or have any questions. I would love to hear your feedback.  
+
+Have fun analysing your own data and good luck with your research.