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Great ! Method `left_join` worked well for me. Thanks !

Dear @xiangpin, when I call `mp_cal_rarecurve` using above data, it generated error like below: ``` Error in seq.default(0, sdepth, by = step) : invalid '(to - from)/by' ``` Do you...

Great! Thanks for your analysis. It is true that some samples have too few ASVs.

Currently I used mutli-tools to solve this problem, you can refer to here https://github.com/ohmeta/metapi/blob/dev/metapi/wrappers/preprocess_raw.py#L77 if you want to a urgent solution. For the feature implementation of fastq-pair, I really want...

Hi, @Chandrima-04, I found that the latest documentation doesn't align with metapi v2.5.0. Now I released metapi v3.0.0, you can install latest metapi by runing: ```mamba install -c bioconda -c...

Hi, @Chandrima-04 Not yet, I have no plan to redistribute these databases. To improve reproducibility, I will update code to let metapi download and build database automicatlly from the original...

Hi, I updated README.md. Pleaser refer to [README here](https://github.com/ohmeta/metapi#databases-and-scripts-used-in-metapi) for downloading databases and scripts used in metapi:

Now can we use it ?

@colemickens Thanks. Let me try the method you indicated in the other issue.

Benchmark data: ```python sample_id = "sampleA:" cov_list = [ "sampleA.sorted.bam_0_data_cov.csv", # ~1G "sampleB.sorted.bam_1_data_cov.csv", # ~1G "sampleC.sorted.bam_2_data_cov.csv", # ~1G "sampleD.sorted.bam_3_data_cov.csv", # ~1G "sampleE.sorted.bam_4_data_cov.csv", # ~1G "sampleF.sorted.bam_5_data_cov.csv", # ~1G "sampleG.sorted.bam_6_data_cov.csv" # ~1G...