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Commits on Source (6)
# # Mac
.DS_STORE
.env
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
......
# Change log
All notable changes to this project will be documented in this file.
## Version 2.3.4 2019-01-14
- TRANSIT:
- Minor bug fixes related to flags in Resampling and HMM
## Version 2.3.3 2018-12-06
- TRANSIT:
- Minor bug fixes related to flags in HMM
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# TRANSIT 2.3.3
# TRANSIT 2.3.4
[![Build Status](https://travis-ci.org/mad-lab/transit.svg?branch=master)](https://travis-ci.org/mad-lab/transit) [![Documentation Status](https://readthedocs.org/projects/transit/badge/?version=latest)](http://transit.readthedocs.io/en/latest/?badge=latest)
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tnseq-transit (2.3.4-1) unstable; urgency=medium
* New upstream version
* debhelper 12
* Standards-Version: 4.3.0
-- Andreas Tille <tille@debian.org> Wed, 30 Jan 2019 15:54:42 +0100
tnseq-transit (2.3.3-1) unstable; urgency=medium
* New upstream version
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......@@ -3,7 +3,7 @@ Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.
Uploaders: Andreas Tille <tille@debian.org>
Section: science
Priority: optional
Build-Depends: debhelper (>= 11~),
Build-Depends: debhelper (>= 12~),
dh-python,
python-dev,
python-setuptools,
......@@ -13,7 +13,7 @@ Build-Depends: debhelper (>= 11~),
python-matplotlib,
python-statsmodels,
bwa
Standards-Version: 4.2.1
Standards-Version: 4.3.0
Vcs-Browser: https://salsa.debian.org/med-team/tnseq-transit
Vcs-Git: https://salsa.debian.org/med-team/tnseq-transit.git
Homepage: http://saclab.tamu.edu/essentiality/transit/
......
......@@ -2,6 +2,6 @@
__all__ = ["transit_tools", "tnseq_tools", "norm_tools", "stat_tools"]
__version__ = "v2.3.3"
__version__ = "v2.3.4"
prefix = "[TRANSIT]"
......@@ -226,6 +226,7 @@ class HMMMethod(base.SingleConditionMethod):
normalization = wxobj.hmmNormChoice.GetString(wxobj.hmmNormChoice.GetCurrentSelection())
LOESS = False
LOESS = wxobj.hmmLoessCheck.GetValue()
#Get output path
name = transit_tools.basename(ctrldata[0])
......@@ -377,6 +378,8 @@ class HMMMethod(base.SingleConditionMethod):
self.output.write("# \n")
self.output.write("# Mean:\t%2.2f\n" % (numpy.average(reads_nz)))
self.output.write("# Median:\t%2.2f\n" % numpy.median(reads_nz))
self.output.write("# Normalization:\t%s\n" % self.normalization)
self.output.write("# LOESS Correction:\t%s\n" % str(self.LOESS))
self.output.write("# pins (obs):\t%f\n" % pins_obs)
self.output.write("# pins (est):\t%f\n" % pins)
self.output.write("# Run length (r):\t%d\n" % r)
......
......@@ -219,6 +219,7 @@ class ResamplingMethod(base.DualConditionMethod):
base.DualConditionMethod.__init__(self, short_name, long_name, short_desc, long_desc, ctrldata, expdata, annotation_path, output_file, normalization=normalization, replicates=replicates, LOESS=LOESS, NTerminus=NTerminus, CTerminus=CTerminus, wxobj=wxobj)
self.Z = False
self.samples = samples
self.adaptive = adaptive
self.doHistogram = doHistogram
......@@ -316,7 +317,6 @@ class ResamplingMethod(base.DualConditionMethod):
includeZeros = not excludeZeros
pseudocount = float(kwargs.get("pc", 0.00))
self.Z = False
if "Z" in kwargs: self.Z = True
LOESS = kwargs.get("l", False)
......