Update recipe to v0.6.0 of Qurro
{% set name = "qurro" %}
-{% set version = "0.3.0" %}
+{% set version = "0.6.0" %}
{% set file_ext = "tar.gz" %}
{% set hash_type = "sha256" %}
-{% set hash_value = "8ecc6e503e7451a3c4d8bd0d2db0043f8e92f40d74b5ba8a1e9c9315b5463794" %}
+{% set hash_value = "87e3ed440e5fc37260fc493a7ec9de34dd99d1cf6ffa5ca51e562a49cf41cd10" %}
package:
name: '{{ name|lower }}'
@@ -23,27 +23,24 @@ build:
requirements:
host:
- - python >=3.5.0
+ - python >=3.5.3
- pip
- setuptools
- numpy >=1.12.0
run:
- - python >=3.5.0
+ - python >=3.5.3
- setuptools
- - altair >=3.1.0
+ - altair =3.1.0
- biom-format
- h5py
- click
- {{ pin_compatible('numpy') }}
- - pandas >=0.20.1
+ - pandas >=0.20.1,<1
- scikit-bio >0.5.3
test:
imports:
- qurro
- - qurro.q2
- - qurro.scripts
- - qurro.tests
commands:
- qurro --help
@@ -54,13 +51,12 @@ about:
license_file: LICENSE.txt
summary: "Visualizes 'omic feature rankings and log ratios"
description: |
- Qurro visualizes the output from a tool like
- [Songbird](https://github.com/biocore/songbird) or
- [DEICODE](https://github.com/biocore/DEICODE). It displays a plot of
- __feature rankings__ (either the differentials produced by a tool like
- Songbird, or the loadings in a compositional biplot produced by a tool
- like DEICODE) alongside a plot showing the __log ratios__ of
- selected features' abundances within samples.
+ Qurro generates interactive visualizations of feature rankings (which
+ can be produced from a variety of established differential abundance tools,
+ for example ALDEx2; or from the feature loadings in a compositional biplot,
+ as produced for example by DEICODE) alongside a plot of log-ratios. The
+ visualization contains various controls to support exploration of log-ratios
+ of features using the feature rankings as a starting point.
extra:
recipe-maintainers:
