nCoV2019 | data | Dataset library
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kandi X-RAY | nCoV2019 Summary
Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China
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QUESTION
I am writing a snakemake to produce Sars-Cov-2 variants from Nanopore sequencing. The pipeline that I am writing is based on the artic network, so I am using artic guppyplex
and artic minion
.
The snakemake that I wrote has the following steps:
- zip all the
fastq
files for all barcodes (rulezipFq
) - perform read filtering with
guppyplex
(ruleguppyplex
) - call the
artic minion
pipeline (ruleminion
) - move the stderr and stdout from qsub to a folder under the working directory (rule
mvQsubLogs
)
Below is the snakemake that I wrote so far, which works
...ANSWER
Answered 2021-Jun-08 at 15:40The rule that fails is rule guppyplex
, which looks for an input in the form of {FASTQ_PATH}/{{barcode}}
.
Looks like the wildcard {barcode}
is filled with barcode49/barcode49.consensus.fasta
, which happened because of two reasons I think:
First (and most important): The workflow does not find a better way to produce the final output. In rule catFasta
, you give an input file which is never described as an output in your workflow. The rule minion
has the directory as an output, but not the file, and it is not perfectly clear for the workflow where to produce this input file.
It therefore infers that the {barcode}
wildcard somehow has to contain this .consensus.fasta
that it has never seen before. This wildcard is then handed over to the top, where the workflow crashes since it cannot find a matching input file.
Second: This initialisation of the wildcard with sth. you don't want is only possible since you did not constrain the wildcard properly. You can for example forbid the wildcard to contain a .
(see wildcard_constraints
here)
However, the main problem is that catFasta
does not find the desired input. I'd suggest changing the output of minion
to "nanopolish/{barcode}/{barcode}.consensus.fasta"
, since the you already take the OUTDIR from the params, that should not hurt your rule here.
Edit: Dummy test example:
QUESTION
That´s for covid data
I have seen a example code from internet to plot a world map wich have a lot of variables. Like name (of the country) ,confirm (cases), suspect, dead, heal, showRate, and the deadRate
But I only know (by the example) how to plot the confirmed cases, and I want to plot dead toll and the deadRate, but I don´t know how to do it
for work with this code you must install these package:
...ANSWER
Answered 2020-Sep-28 at 18:03For any reason inside that package (I can not see the settings for the map plot), it is always taking the confirmed serie and plotting it. You can do a trick by replacing the values in confirmed cases by those from death rate and then format the plot. Here the code to hack the plot scheme:
QUESTION
I web scraped a website and inputted the data into an sql3 database. For some reason, there's this black star in front of each name that's not an asterisk. It's one character that goes in front of the name, and I don't want to go in each row of data and erase it by hand because that's tedious, plus when I update the data on the table, the stars are just gonna come back. Does anyone know how to remove the star before it goes into the table? the data I extracted is a list with dictionaries as the elements. Thank you in advance!
...ANSWER
Answered 2020-Jul-18 at 16:57That comes from the \u2605
character. The best way to do is to split it from the dict.
QUESTION
I'm a beginner at coding so sorry if I made any mistakes. I webscraped a website and got a list of tables from it. I'm trying to insert that data into sqlite 3 using a for loop, and it comes back as an error.
...ANSWER
Answered 2020-Jul-17 at 23:22The KeyError: 'Name'
error message is indicative that your dictionary does not have a 'Name' Key. You can do several thing to diagnose it;
The easiest thing to do first is to just check the base case, does it have the name entry. I.e.
QUESTION
The dataset I wish to read lives on GitHub as a tar.gz file and is updated every few hours. While I can always download this file, uncompress it, and read from CSV, it would be much better if I can directly read from this URL into a Pandas data frame in a timely manner.
After some Googling, I was able to download the compressed file and then read it as a data frame.
...ANSWER
Answered 2020-Jul-02 at 06:31You can use the BytesIO
(In-Memory Stream) to keep the data in memory instead of saving the file to local machine.
Also As per the tarfile.open documentation, If fileobj
is specified, it is used as an alternative to a file object opened in binary mode for name.
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