APSLAP is an online server to predict the subcellular localization of Apoptosis protein. Prediction is based on the output from seven different modules, out of which five are AdaBoost modules and rest two are signal peptide and BLAST modules. It predicts one among the six subcellular location (cytoplasm, membrane, secreted, mitochondria, nucles, or ER) for the given query protein.
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APSLAP-Adaboost for Apoptosis Subcellular Localization Prediction | apslap.bicpu.edu.in Reviews
https://apslap.bicpu.edu.in
APSLAP is an online server to predict the subcellular localization of Apoptosis protein. Prediction is based on the output from seven different modules, out of which five are AdaBoost modules and rest two are signal peptide and BLAST modules. It predicts one among the six subcellular location (cytoplasm, membrane, secreted, mitochondria, nucles, or ER) for the given query protein.
apslap.bicpu.edu.in
APSLAP-Adaboost for Apoptosis Subcellular Localization Prediction
http://www.apslap.bicpu.edu.in/apslap.php
APSLAP is an online server to predict the subcellular localization of Apoptosis protein. Prediction is based on the output from seven different modules, out of which five are AdaBoost modules and rest two are signal peptide and BLAST modules. It predicts one among the six subcellular location (cytoplasm, membrane, secreted, mitochondria, nucles, or ER) for the given query protein.
APSLAP-Adaboost for Apoptosis Subcellular Localization Prediction
http://www.apslap.bicpu.edu.in/supp.php
New independent dataset (N151). Contains Numerical Feature Vector for the training Set Data as comma separated file. Contains ROC graph for various modules adopted in this work.
APSLAP-Adaboost for Apoptosis Subcellular Localization Prediction
http://www.apslap.bicpu.edu.in/instruct.php
Instructions and Guide to Interpret the Result. Make sure your sequence does not contain any characters apart from standard single letter amino acid codes and length greater than or equal to 30. Only raw sequence format is accepted. FASTA format is not accepted. Detailed results can be obtained by selecting "Detailed result" option, before submitting the query. The confident score closer to 1 is considered to have higher proability that the query protein resides in the predicted location. The values in t...
APSLAP-Adaboost for Apoptosis Subcellular Localization Prediction
http://www.apslap.bicpu.edu.in/predict.php
The webserver version is currently unavailable. For the standalone version.
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Welcome to Bioinformatics Centre, Pondicherry University, India
http://www.iep.bicpu.edu.in/publications.htm
Pondicherry University, India. In-House Developed Bioinformatics Software and Tools. ACPP : A webserver for Anti-cancer peptide design and prediction. Saravanan, Vijayakumar, and P. T. V. Lakshmi. Saravanan V, and Lakshmi P. (2014). ACPP: A Web Server for Prediction and Design of Anti-cancer Peptides. International Journal of Peptide research and Therapeutics, Epub Ahead. [Journal]. FuzzyApp - Fuzzy logic based allergen protein predictor. Saravanan, Vijayakumar, and P. T. V. Lakshmi. Saravanan V, and Lak...
SCLAP
http://www.sclap.bicpu.edu.in/sclap.php
Ocalization prediction using A. Redictor, is a tool to predict subchloroplast localiztion of the protein using AdaBoost learner. Vijayakumar Saravanan and P.T.V. Lakshmi. OMICS: A Journal of Integrative Biology. February 2013, 17(2): 106-115. doi:10.1089/omi.2012.0070.
ACPP
http://www.acpp.bicpu.edu.in/cont.php
Saravanan Vijayakumar (DBT-BINC Fellow). Centre for Bioinformatics, Pondicherry University, Pin: 605014. Centre for Bioinforamtics,. Pondicherry University, Pin:605014. Lakana@bicpu.e du.in. Anti cancer peptide database. Great acts are made up of small deeds. Contact: brsaran@bicpu.edu.in.
Welcome to Bioinformatics Centre, Pondicherry University, India
http://www.bicpu.edu.in/publications.htm
Pondicherry University, India. In-House Developed Bioinformatics Software and Tools. ACPP : A webserver for Anti-cancer peptide design and prediction. Saravanan, Vijayakumar, and P. T. V. Lakshmi. Saravanan V, and Lakshmi P. (2014). ACPP: A Web Server for Prediction and Design of Anti-cancer Peptides. International Journal of Peptide research and Therapeutics, Epub Ahead. [Journal]. FuzzyApp - Fuzzy logic based allergen protein predictor. Saravanan, Vijayakumar, and P. T. V. Lakshmi. Saravanan V, and Lak...
FuzzyApp
http://www.fuzzyapp.bicpu.edu.in/fuzzyapp.php
Time is a created thing. To say 'I don't have time,' is like saying, 'I don't want to. Saravanan Vijayakumar and Lakshmi PTV. OMICS: A Journal of Integrative Biology. September 2014, 18(9): 570-581. doi:10.1089/omi.2014.0021. Last updated 6th June, 2013. Developed by: Saravanan Vijayakumar.
FuzzyApp
http://www.fuzzyapp.bicpu.edu.in/supp.php
Time is a created thing. To say 'I don't have time,' is like saying, 'I don't want to. Supplementary Check journal page. Last updated 15th July, 2014. Developed by: Saravanan Vijayakumar.
FuzzyApp
http://www.fuzzyapp.bicpu.edu.in/instruct.php
Time is a created thing. To say 'I don't have time,' is like saying, 'I don't want to. Job title is optional, but advised to have one before submitting (Default: Example). E-mail is optional, but advised to provide one before submitting. (Note: If you did not receive the e-mail, do check the spam folder). Make sure your sequence does not contain any characters apart from standard single letter amino acid codes. Do not submit sequence in mixed format. Maximum of 10 sequences. Are allowed per job.
ACPP
http://www.acpp.bicpu.edu.in/job.php
Anti cancer peptide database. Great acts are made up of small deeds. Â 2013 Pondicherry University. Contact: brsaran@bicpu.edu.in.
ACPP
http://www.acpp.bicpu.edu.in/inst.php
Job title is optional, but advised to have one before submitting (Default: Example). Make sure your sequence does not contain any characters apart from standard single letter amino acid codes. FASTA formatted sequence only can be given in the input textarea. (Sample format can be obtained by clicking the corresponding link over the sequence input box). Use help link for providing mutation pattern. If multiple sequence option is opted, only a maximum of 100 peptides. Are allowed per job. BLAST Stand-alone...
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APSLAP-Adaboost for Apoptosis Subcellular Localization Prediction
APSLAP is an online server to predict the subcellular localization of Apoptosis protein. Prediction is based on the output from seven different modules, out of which five are AdaBoost modules and rest two are signal peptide and BLAST modules. It predicts one among the six subcellular location (cytoplasm, membrane, secreted, mitochondria, nucles, or ER) for the given query protein.
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