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박사면뭐해
EffectorP 2.0 - 이펙터 예측 파이프라인 본문
기본 명령어:
# python2 EffectorP.py -i [input.fasta] -o [output.result.out] -E [effector.fasta] -N [non-effector.fasta]
※ NOTE: python2 기반이라서 환경변수 설정을 해주더라도 프로그램 경로를 다 입력해서 실행해야 함.
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# EffectorP :: predicting fungal effector proteins from secretomes using machine learning
# EffectorP 2.0 (November 2017); http://effectorp.csiro.au/
# Copyright (C) 2017-2018 Jana Sperschneider, CSIRO.
# Freely distributed under the GNU General Public License (GPLv3).
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Usage for EffectorP 2.0: python EffectorP.py [-options] -i <input_file>
where basic options are:
-h : show brief help on version and usage
options for output format:
-s : short output format that provides predictions for all proteins as one tab-delimited table [default long format]
options directing output:
-o <f> : direct output to file <f>, not stdout
-E <f> : save predicted effectors to FASTA file <f>
-N <f> : save predicted non-effectors to FASTA file <f>
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -다운로드 및 웹서버: http://effectorp.csiro.au/
논문: https://bsppjournals.onlinelibrary.wiley.com/doi/full/10.1111/mpp.12682
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