gigascience technical note sectioning

https://academic.oup.com/gigascience/pages/technical_note

content/05.main-text.md

@@ -27,10 +27,6 @@ A supervised machine learning approach identified types of paths that occur more
 To train the model, the authors created [PharmacotherapyDB](https://doi.org/10.6084/m9.figshare.3103054),
 a physician-curated catalog of 755 disease-modifying treatments [@doi:10.15363/thinklab.d182].
 
-<!--
-  pretty sure a previous paper at gigascience required us to move figures to the results section,
-  so we may need to add a results panel and put this at the beginning of the results section.
--->
 ![
 **A. Hetionet v1.0 metagraph.**
 The types of nodes and edges in Hetionet.
@@ -131,7 +127,7 @@ Refinements to path scoring techniques might also be helpful solutions in this c
 Hetnet connectivity search explains how two nodes are related in an unsupervised manner that captures the semantic richness of edge type and returns results in the form of both metapaths and paths.
 Our open source implementation, including for a query and visualization webserver, was designed with scalability and responsiveness in mind allowing in-browser exploration.
 
-## Results {.page_break_before}
+## Findings {.page_break_before}
 
 Completing hetnet connectivity search involved advances on three fronts.
 We implemented new software for efficient matrix-based operations on hetnets.
@@ -940,6 +936,16 @@ We encourage readers with feedback or questions to comment publicly via [GitHub
 Most of the Hetio resources and projects can be found under the [Hetio GitHub organization](https://github.com/hetio), with others being available under the [Greene Lab GitHub organization](https://github.com/greenelab), one of the collaborating groups.
 Information about Hetio is also displayed and disseminated at <https://het.io>, as noted in the [Hetio Website] section. 
 
+#### Availability of Supporting Source Code and Requirements
+
+Project name: Hetnet Connectivity Search
+Project home page: <https://het.io/search/>
+Operating systems: Platform independent
+Programming language: e.g. Java
+Other requirements: Not applicable
+License: e.g. GNU GPL, FreeBSD etc.
+biotools ID: [connectivity-search](https://bio.tools/connectivity-search)
+
 The Hetnet Connectivity Search web application is registered at [biotools:connectivity-search](https://bio.tools/connectivity-search).
 This study primarily involves the following repositories:
 <!-- https://github.com/topics/hetnet-connectivity-search -->
@@ -984,6 +990,8 @@ This study primarily involves the following repositories:
   Preexisiting source code for the <https://het.io/> website.
   CC BY 4.0 License.
 
+#### Data availability
+
 An archival copy of the code and supporting data is available via the GigaScience repository [@gigadb].
 The connectivity-search-analyses and hetionet repositories contain datasets related to this study.
 Large datasets were compressed and tracked with [Git LFS](https://git-lfs.github.com/) (Large File Storage).
@@ -998,6 +1006,20 @@ Datasets exceeding this size, along with other essential datasets, are available
 [@zenodo]: doi:10.5281/zenodo.1435833
 [@gigadb]: doi:10.5524/102389
 
-## Competing Interests
+## Declarations
+
+### List of abbreviations
+
+TODO
+
+### Competing Interests
 
 This work was supported, in part, by Pfizer Worldwide Research, Development, and Medical.
+
+## Funding
+
+TODO
+
+## Authors' contributions
+
+TODO