megahit | Ultra-fast and memory-efficient genome assembler | Genomics library
kandi X-RAY | megahit Summary
kandi X-RAY | megahit Summary
[codecov] MEGAHIT is an ultra-fast and memory-efficient NGS assembler. It is optimized for metagenomes, but also works well on generic single genome assembly (small or mammalian size) and single-cell assembly.
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QUESTION
I have a rule to run megahit genome assembler in my Snakemake pipeline:
...ANSWER
Answered 2020-Oct-20 at 08:16"Output directory assembled_megahit already exists, please change the parameter -o to another value to avoid overwriting" even though I've deleted that directory before I run my Snakefile.
I believe snakemake creates the necessary directory tree for output files before executing the run
directive. So you get the error even if you delete the output directory before running snakemake.
I think you can fix it with something like:
QUESTION
I have the below bash script that I would like to convert into a snakefile:
...ANSWER
Answered 2020-Mar-26 at 16:29Firstly you don't need an expand
in your input. This is needed if you wish to create a list of filenames that have the same pattern.
Next, as long as you already use Unix-type slash in your paths, you may add the RESULTS_DIR
into f-strings for readability (but don't forget to double the braces for wildcards).
Finally, there is no need in having a pipeline of scripts separated with &&: that is what Snakemake is designed for.
My version of reworked script:
QUESTION
so i have this data eight_gen_scatter:
...ANSWER
Answered 2018-Apr-12 at 20:01THis code below works perfectly for me. I don't understand why did you add "scale_fill_discrete()"? Do you want to change the order of items in the legend?
The legend will be added automatically since you set "fill= Programas". So you don't need extra code.
ggplot(df, aes(x = variable, y = value, fill= Programas)) + geom_bar(stat = "identity", position = "dodge")
QUESTION
i'm trying to replicate a graphic from excel in R, but with ggplot2. However i haven't found a way to do it, even using melt or other functions, i can't figure out a way to represent all my data. By the way can you help me with the code that i need to use to take it from excel and do the graphic directly, 'cause when i tried to copy with read.table the first column it's not taken as the X axis as i would like to, so i just try to copy all the columns as independt variables and then make it a data frame. But i would take me a lot of time since i have like 30 tables. Please let me now how to do it.
This is my data and the graphic i would like to replicate:
...ANSWER
Answered 2018-Feb-17 at 02:30Do not despair. Step by step. And great that you are starting to use R :) You need some basic reading, that's for sure. But here some advice. First, make your example reproducible so that we only need to copy paste it. Meaning complete with assignment operator.
A good way to import your data into R is to save your excel as .csv and then import this csv with read.csv()
from the utils package
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