https://github.com/dereneaton/ipyrad
Tip revision: 5c67b47964794589ea13e3dd18edadbffeab64e3 authored by Isaac Overcast on 23 January 2018, 21:26:37 UTC
"Updating ipyrad/__init__.py to version - 0.7.21
"Updating ipyrad/__init__.py to version - 0.7.21
Tip revision: 5c67b47
features.rst
.. include:: global.rst
.. _features:
Features
========
What does ipyrad do?
--------------------
ipyrad_ is a toolbox for assembly and analysis of RAD-seq type genomic data sets.
Notably, it has four :ref:`assembly methods<assembly_methods>`
by which to assemble data: denovo, reference,
reference addition, and reference subtraction. Assembled data sets are created
in a variety of :ref:`output formats<full_output_formats>`, facilitating downstream
genomic analyses for both population genetic and phylogenetic studies. ipyrad_
also includes methods for visualizing and analyzing data and results.
How is it different from pyrad?
-------------------------------
ipyrad_ is a complete re-write of pyrad_ with an expanded focus on speed and
flexibility. While we continue in the minimalist :ref:`ethos<ethos>` of pyrad_,
which emphasized a simple installation procedure and ease-of-use, ipyrad_ offers
many new features, and is now easily extensible to new data types and models
through its Python :ref:`API<API>`.
Major New Features in ipyrad
----------------------
* New :ref:`assembly methods<assembly_methods>`: *de novo* and reference-based methods.
* Improved :ref:`checkpointing<checkpointing>`. Interrupted jobs are easily restarted.
* Much faster code (speed comparisons forthcoming with publication).
* State of the art parallel implementation (ipyparallel) for running on computing clusters.
* Easy installation: all dependencies are included during :ref:`installation<installation>`.
Coming Soon
-----------
* Downstream analysis tools
* Quartet-based species tree inference (_tetrad_ program)
* Introgression analyses (ABBA-BABA tests)
* Population genetic statistics