Estefani Gaytan Nunez

upload

This diff is collapsed. Click to expand it.
1 -------------------------------- PARAMETERS -------------------------------- 1 -------------------------------- PARAMETERS --------------------------------
2 --inputPath Path of training data set : /home/egaytan/automatic-extraction-growth-conditions/predict-annot/input/ 2 --inputPath Path of training data set : /home/egaytan/automatic-extraction-growth-conditions/predict-annot/input/
3 --outputPath Output path to place output files: /home/egaytan/automatic-extraction-growth-conditions/predict-annot/output/ 3 --outputPath Output path to place output files: /home/egaytan/automatic-extraction-growth-conditions/predict-annot/output/
4 ---outputFileI Output tagged file I : annot-input_bg_outputI_v5.txt 4 +--outputFileI Output tagged file I : annot-input_bg_outputI_v6
5 ---outputFileII Output tagged file II : annot-input_bg_outputII_v5 5 +--outputFileII Output tagged file II : annot-input_bg_outputII_v6
6 ---outputFileII Output tagged file III : annot-input_bg_outputIII_v5 6 +--outputFileII Output tagged file III : annot-input_bg_outputIII_v6
7 --modelPath Path to read CRF model : /home/egaytan/automatic-extraction-growth-conditions/CRF/models 7 --modelPath Path to read CRF model : /home/egaytan/automatic-extraction-growth-conditions/CRF/models
8 --modelName Model name : model_Run3_v10_S1_False_S2_True_S3_False_S4_False_Run3_v10 8 --modelName Model name : model_Run3_v10_S1_False_S2_True_S3_False_S4_False_Run3_v10
9 --infoPath Path of GSE-GSM index file : /home/egaytan/automatic-extraction-growth-conditions/predict-annot/mapping 9 --infoPath Path of GSE-GSM index file : /home/egaytan/automatic-extraction-growth-conditions/predict-annot/mapping
...@@ -15,16 +15,14 @@ ...@@ -15,16 +15,14 @@
15 --S4 Semantic features : False 15 --S4 Semantic features : False
16 -------------------------------- PROCESSING -------------------------------- 16 -------------------------------- PROCESSING --------------------------------
17 Reading CRF model... 17 Reading CRF model...
18 -Reading CRF model done in: 0.009225s 18 +Reading CRF model done in: 0.009524s
19 Processing corpus... 19 Processing corpus...
20 Preprocessing file...annot-input_bg_v4.txt 20 Preprocessing file...annot-input_bg_v4.txt
21 Sentences input data: 90688 21 Sentences input data: 90688
22 Predicting tags with model... 22 Predicting tags with model...
23 -Prediction done in: 27.733279s 23 +Prediction done in: 27.458162s
24 Tagging file... 24 Tagging file...
25 -GSE100233 GSM2675514 GPL18006-GPL18133-PMID:29186514 library_strategy.1 <Technique> ChIP-Seq </Technique> Technique
26 -GSE100233 GSM2675514 GPL18006-GPL18133-PMID:29186514 growth_protocol_ch1.1 Cultures of Caulobacter -LRB- TLS1631-TLS1633 -RRB- were grown at 30oC in PYE and supplemented with antibiotics , as necessary , at appropriate concentrations . To deplete wild-type non-tagged ParB , exponential-phase cells were washed off xylose and re-introduced to PYE +0.2 % glucose for an additional <Supp> 5 hours </Supp> . After 4 hours , vanillate was added to induce the expression of flag-parB -LRB- WT -RRB- or flag-parB -LRB- G101S/R104A -RRB- for an hour . Cultures of Escherichia coli -LRB- TLS1637-TLS1650 -RRB- were grown at 30oC in LB and supplemented with antibiotics , as necessary , at appropriate concentrations . IPTG -LRB- 0.5 mM -RRB- was added to induce the production of T18-ParB -LRB- WT -RRB- or T18-ParB -LRB- G101S -RRB- . After an hour , formadehyde -LRB- 1 % final concentration -RRB- were added to fix cells for ChIP-seq . Supp
27 Saving Ouput I... 25 Saving Ouput I...
28 Saving Ouput II... 26 Saving Ouput II...
29 Saving Ouput III... 27 Saving Ouput III...
30 -Pssing corpus done in: 258.328259s 28 +Passing corpus done in: 257.970281s
......
1 --------------------------------- PARAMETERS --------------------------------
2 ---inputPath Path of training data set : /home/egaytan/automatic-extraction-growth-conditions/predict-annot/input/
3 ---outputPath Output path to place output files: /home/egaytan/automatic-extraction-growth-conditions/predict-annot/output/
4 ---outputFileI Output tagged file I : annot-input_bg_outputI_v4.txt
5 ---outputFileII Output tagged file II : annot-input_bg_outputII_v4
6 ---modelPath Path to read CRF model : /home/egaytan/automatic-extraction-growth-conditions/CRF/models
7 ---modelName Model name : model_Run3_v10_S1_False_S2_True_S3_False_S4_False_Run3_v10
8 ---infoPath Path of GSE-GSM index file : /home/egaytan/automatic-extraction-growth-conditions/predict-annot/mapping
9 ---infoFile GSE-GSM index file : bg_sentences_midx_v4.txt
10 ---variant Run variant : 13
11 ---S1 General features : True
12 ---S2 Inner/Complete word features : False
13 ---S3 Extended context features : False
14 ---S4 Semantic features : True
15 ---filteringStopWords Filtering stop words : False
16 ---filterSymbols Filtering punctuation marks : False
17 -Filtering symbols ['.', ',', ':', ';', '?', '!', "'", '"', '<', '>', '(', ')', '-', '_', '/', '\\', '¿', '¡', '+', '{', '}', '[', ']', '*', '%', '$', '#', '&', '°', '`', '...']: False
18 --------------------------------- PROCESSING --------------------------------
19 -Reading CRF model...
20 -Reading CRF model done in: 0.009363s
21 -Processing corpus...
22 -Preprocessing file...annot-input_bg_v3.txt
23 -Sentences input data: 14716
24 -Predicting tags with model
25 -Prediction done in: 1.737334s
26 -Tagging file
27 -Preprocessing file...annot-input_bg_v4.txt
28 -Sentences input data: 90688
29 -Predicting tags with model
30 -Prediction done in: 26.434549s
31 -Tagging file
32 -Processing corpus done in: 58.304885s