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update to v2.3.0
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alienzj committed Aug 17, 2022
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38 changes: 14 additions & 24 deletions README.md
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Expand Up @@ -17,16 +17,8 @@ metapi works with Python 3.7+.
You can install it via [bioconda](https://bioconda.github.io/):

```
➤ mamba install -c conda-forge -c bioconda metapi
# It is recommended to install the latest version
➤ mamba install -c conda-forge -c bioconda metapi=2.2.0
```

Or via pip:

```
➤ pip3 install metapi=2.2.0
➤ mamba install -c conda-forge -c bioconda metapi=2.3.0
```

## Run
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➤ metapi init -d . -s samples.tsv -b trimming
# create conda environments, which will create envs at ~/.conda/envs
# run it firstly, recommend
➤ metapi mag_wf --conda-create-envs-only
# run pipeline with conda
➤ metapi mag_wf all --use-conda --run-local
# run raw_fastqc
➤ metapi mag_wf raw_fastqc_all --run-local
➤ metapi mag_wf raw_fastqc_all --use-conda --run-local
# run trimming
➤ metapi mag_wf trimming_all --run-local
➤ metapi mag_wf trimming_all --use-conda --run-local
# run rmhost
➤ metapi mag_wf rmhost_all --run-local
➤ metapi mag_wf rmhost_all --use-conda --run-local
# run qc report
➤ metapi mag_wf qcreport_all --run-local
➤ metapi mag_wf qcreport_all --use-conda --run-local
# run assembly
➤ metapi mag_wf assembly_all --run-local
➤ metapi mag_wf assembly_all --use-conda --run-local
# run binning (microbial MAG)
➤ metapi mag_wf binning_all --run-local
➤ metapi mag_wf binning_all --use-conda --run-local
# run identify (virus MAG)
➤ metapi mag_wf identify_all --run-local
➤ metapi mag_wf identify_all --use-conda --run-local
# run gene predict
➤ metapi mag_wf predict_all --run-local
➤ metapi mag_wf predict_all --use-conda --run-local
# run checkm
➤ metapi mag_wf checkm_all --run-local
➤ metapi mag_wf checkm_all --use-conda --run-local
#run taxonomic
➤ metapi mag_wf taxonomic_all --run-local
➤ metapi mag_wf taxonomic_all --use-conda --run-local
# run mag_wf all
➤ metapi mag_wf --run-local
➤ metapi mag_wf --use-conda --run-local
# run mag_wf all on SGE/SLURM cluster
➤ metapi mag_wf --run-remote
# run mag_wf all on SGE/SLURM cluster using conda
➤ metapi mag_wf --run-remote --use-conda
➤ metapi mag_wf all --use-conda --run-remote
```

## Input details
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2 changes: 1 addition & 1 deletion metapi/__about__.py
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@@ -1,4 +1,4 @@
#!/usr/bin/env python3

__version__ = '2.2.0'
__version__ = '2.3.0'
__author__ = "Jie Zhu, Fangming Yang"

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