From 903eed90d87b05aea146b5511fda19811bf2a955 Mon Sep 17 00:00:00 2001
From: mataton <62309966+mataton@users.noreply.github.com>
Date: Thu, 28 Mar 2024 20:47:44 +0000
Subject: [PATCH] Update from
https://github.com/scikit-bio/scikit-bio/commit/df5d62adf2eb7c8e505da5bb20ad043ffde55f05
---
_sources/index.rst.txt | 2 +-
about.html | 4 ++--
contribute.html | 4 ++--
devdoc/code_guide.html | 4 ++--
devdoc/doc_guide.html | 6 +++---
devdoc/new_module.html | 4 ++--
devdoc/release.html | 4 ++--
devdoc/review.html | 4 ++--
genindex.html | 4 ++--
index.html | 16 ++++++++--------
install.html | 4 ++--
learn.html | 4 ++--
search.html | 4 ++--
13 files changed, 32 insertions(+), 32 deletions(-)
diff --git a/_sources/index.rst.txt b/_sources/index.rst.txt
index 87a001987..c1f41dcd3 100644
--- a/_sources/index.rst.txt
+++ b/_sources/index.rst.txt
@@ -74,7 +74,7 @@
Install Documentation guidelinesContribute to scikit-bio.
Note
-If you’re only interested in viewing the scikit-bio documentation, please visit the documentation site.
+If you’re only interested in viewing the scikit-bio documentation, please visit the documentation site.
-
Biological sequences: Efficient data structure with a flexible grammar for easy manipulation, annotation, alignment, and conversion into motifs or k-mers for in-depth analysis.
+Biological sequences: Efficient data structure with a flexible grammar for easy manipulation, annotation, alignment, and conversion into motifs or k-mers for in-depth analysis.
-
Phylogenetic trees: Scalable tree structure tailored for evolutionary biology, supporting diverse operations in navigation, manipulation, comparison, and construction.
+Phylogenetic trees: Scalable tree structure tailored for evolutionary biology, supporting diverse operations in navigation, manipulation, comparison, and construction.
-
Community diversity analysis for ecological studies, with an extensive suite of metrics such as UniFrac and PD, optimized to handle large-scale community datasets.
+Community diversity analysis for ecological studies, with an extensive suite of metrics such as UniFrac and PD, optimized to handle large-scale community datasets.