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AutoClassWeb: a simple web interface for Bayesian clustering of omics data :package: :rocket:

License: BSD 3-Clause "New" or "Revised" License

Python 56.79% CSS 2.74% HTML 33.23% Makefile 2.19% JavaScript 0.16% Dockerfile 4.89%
autoclass classification clustering flask python

autoclassweb's Introduction

Pierre Poulain, associate professor

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I am associate professor at Université Paris Cité, France. I currently perform my research at the Laboratory of Theoretical Biochemistry. I study the sharing and reuse of molecular dynamics simulation data and code. For this, I develop new methods and software, mostly in Python, using traditional machine learning technics or deep learning. More generally, I have a strong interest in data analysis and data management in biology and bioinformatics.

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Projects

Bayesian clustering

AutoClassWrapper AutoClassWeb

Jupyter-based platform for e-learning

Have a look to the Plasma project website.

Plasma AutoClassWeb

Structural bioinformatics

PBxplore Principal Axes

Misc

Bibliomarklets

autoclassweb's People

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autoclassweb's Issues

Input log could contain log from previous run (in addition to actual one)

When 2 clusterings are run almost at the same time. The input log file of one run may contain input log from the other run.
For instance:

2020-07-22 15:43:39 :: INFO     :: Reading data file 'Proteome_random_ARATH_AA_data_Frq_Prot.txt' as 'real location' with error 0.01
2020-07-22 15:43:40 :: INFO     :: Detected encoding: ascii
2020-07-22 15:43:40 :: INFO     :: Found 39380 rows and 21 columns
2020-07-22 15:43:40 :: INFO     :: Checking data format
2020-07-22 15:43:40 :: INFO     :: Column 'Freq_G_Proteome'
2020-07-22 15:43:40 :: INFO     :: count    39380.000000
2020-07-22 15:43:40 :: INFO     :: mean         0.000326
2020-07-22 15:43:40 :: INFO     :: std          0.244267
[...]
2020-07-22 15:43:40 :: INFO     :: min         -1.000000
2020-07-22 15:43:40 :: INFO     :: 50%         -0.038956
2020-07-22 15:43:40 :: INFO     :: max         15.176349
2020-07-22 15:43:40 :: INFO     :: ---
2020-07-22 15:43:40 :: INFO     :: Final dataframe has 39380 lines and 21 columns
2020-07-22 15:43:40 :: INFO     :: Searching for missing values
2020-07-22 15:43:40 :: INFO     :: No missing values found
2020-07-22 15:43:40 :: INFO     :: Writing autoclass.db2 file
2020-07-22 15:43:40 :: INFO     :: If any, missing values will be encoded as '?'
2020-07-22 15:43:42 :: INFO     :: Writing .hd2 file
2020-07-22 15:43:42 :: INFO     :: Writing .model file
2020-07-22 15:43:42 :: INFO     :: Writing .s-params file
2020-07-22 15:43:42 :: INFO     :: Writing .r-params file
2020-07-22 15:43:42 :: INFO     :: Writing run file
2020-07-22 15:43:42 :: INFO     :: AutoClass C executable found in /app/autoclass-c/autoclass
2020-07-22 15:43:42 :: INFO     :: AutoClass C version: AUTOCLASS C (version 3.3.6unx)
2020-07-22 15:43:42 :: INFO     :: Running clustering...
2020-07-22 16:01:06 :: INFO     :: Reading data file 'Proteome_random_HUMAN_AA_data_Frq_Prot.txt' as 'real location' with error 0.01
2020-07-22 16:01:06 :: INFO     :: Detected encoding: ascii
2020-07-22 16:01:07 :: INFO     :: Found 73928 rows and 21 columns
2020-07-22 16:01:07 :: INFO     :: Checking data format
2020-07-22 16:01:07 :: INFO     :: Column 'Freq_G_Proteome'
2020-07-22 16:01:07 :: INFO     :: count    73928.000000
2020-07-22 16:01:07 :: INFO     :: mean         0.001658
2020-07-22 16:01:07 :: INFO     :: std          0.337749
[...]

This is not a desirable feature.

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