I'm trying to determine the best way to extract unmapped reads in which both mates in a pair did not map. Currently, it seems that my code is simply extracting all unmapped reads, regardless of their mate. I'm not sure how to go about this, as I'm already using the -f option to extract unmapped reads. Would I just do another iteration of samtools view?
samtools view -# 4 -buh -f4 sample${r}_pe.remove.sam > sample${r}_pe.unmapped.bam
To extract only the reads where read 1 is unmapped AND read 2 is unmapped (= both mates are unmapped):
samtools view -b -f12 input.sam > output.both_mates_unmapped.bam
Here, the options are:
-b - output BAM,
-f12 - filter only reads with flag: 4 (read unmapped) + 8 (mate unmapped).
SEE ALSO:
Decoding SAM flags: https://broadinstitute.github.io/picard/explain-flags.html
Related
On Bintray I found out that I have a private docker repository consuming quite a lot of space:
Account usage by repository
I then proceeded to do some house keeping and kept only the last 3 tags of all the images I have. However, that didn't help much. The storage didn't change at all after deleting all these old tags.
I got this API endpoint here: https://bintray.com/docs/api/#_get_package_files to have an estimate on the package files size:
for img in $(cat images) ; do curl -s -XGET -u "user:pass" https://bintray.com/api/v1/packages/my-org/internal-docker/$img/files | python -m json.tool | jq '.[] | .size' | awk '{ sum += $1 } END { print sum }' ; done
Suming all those up gets me 63723101568 bytes, 60GB.
Any idea where the other 310GBs are?
Notice that, even if the 3 tags were completely different from each other, I would get worst case 3x that figure, so 180GB. But the 375GB is still there.
Where are you getting the array 'images'?
You are not curling for the entire list but rather single files.
It's possible your list did not include all the images in this repo.
Check to make sure you have traversed all subfolders for images as well.
After some time, something changed in the backend storage
I asked on their support (you have to click on Feedback when logged in to Bintary) and they're checking if there was any house keeping done or only after I complained to them something was done.
I'll update if I hear more from them.
I seem to be having trouble properly combining thousands of netCDF files (42000+) (3gb in size, for this particular folder/variable). The main variable that i want to combine has a structure of (6, 127, 118) i.e (time,lat,lon)
Im appending each file 1 by 1 since the number of files is too long.
I have tried:
for i in input_source/**/**/*.nc; do ncrcat -A -h append_output.nc $i append_output.nc ; done
but this method seems to be really slow (order of kb/s and seems to be getting slower as more files are appended) and is also giving a warning:
ncrcat: WARNING Intra-file non-monotonicity. Record coordinate "forecast_period" does not monotonically increase between (input file file1.nc record indices: 17, 18) (output file file1.nc record indices 17, 18) record coordinate values 6.000000, 1.000000
that basically just increases the variable "forecast_period" 1-6 n-times. n = 42000files. i.e. [1,2,3,4,5,6,1,2,3,4,5,6......n]
And despite this warning i can still open the file and ncrcat does what its supposed to, it is just slow, at-least for this particular method
I have also tried adding in the option:
--no_tmp_fl
but this gives an eror:
ERROR: nco__open() unable to open file "append_output.nc"
full error attached below
If it helps, im using wsl and ubuntu in windows 10.
Im new to bash and any comments would be much appreciated.
Either of these commands should work:
ncrcat --no_tmp_fl -h *.nc
or
ls input_source/**/**/*.nc | ncrcat --no_tmp_fl -h append_output.nc
Your original command is slow because you open and close the output files N times. These commands open it once, fill-it up, then close it.
I would use CDO for this task. Given the huge number of files it is recommended to first sort them on time (assuming you want to merge them along the time axis). After that, you can use
cdo cat *.nc outfile
I'm trying to find the best and most efficient way to resume reading a file from a given point.
The given file is being written frequently (this is a log file).
This file is rotated on a daily basis.
In the log file I'm looking for a pattern 'slow transaction'. End of such lines have a number into parentheses. I want to have the sum of the numbers.
Example of log line:
Jun 24 2015 10:00:00 slow transaction (5)
Jun 24 2015 10:00:06 slow transaction (1)
This is easy part that I could do with awk command to get total of 6 with above example.
Now my challenge is that I want to get the values from this file on a regular basis. I've an external system that polls a custom OID using SNMP. When hitting this OID the Linux host runs a couple of basic commands.
I want this SNMP polling event to get the number of events since the last polling only. I don't want to have the total every time, just the total of the newly added lines.
Just to mention that only bash can be used, or basic commands such as awk sed tail etc. No perl or advanced programming language.
I hope my description will be clear enough. Apologizes if this is duplicate. I did some researches before posting but did not find something that precisely correspond to my need.
Thank you for any assistance
In addition to the methods in the comment link, you can also simply use dd and stat to read the logfile size, save it and sleep 300 then check the logfile size again. If the filesize has changed, then skip over the old information with dd and read the new information only.
Note: you can add a test to handle the case where the logfile is deleted and then restarted with 0 size (e.g. if $((newsize < size)) then read all.
Here is a short example with 5 minute intervals:
#!/bin/bash
lfn=${1:-/path/to/logfile}
size=$(stat -c "%s" "$lfn") ## save original log size
while :; do
newsize=$(stat -c "%s" "$lfn") ## get new log size
if ((size != newsize)); then ## if change, use new info
## use dd to skip over existing text to new text
newtext=$(dd if="$lfn" bs="$size" skip=1 2>/dev/null)
## process newtext however you need
printf "\nnewtext:\n\n%s\n" "$newtext"
size=$((newsize)); ## update size to newsize
fi
sleep 300
done
Here is my problem, I have a set of big gz log files, the very first info in the line is a datetime text, e.g.: 2014-03-20 05:32:00.
I need to check what set of log files holds a specific data.
For the init I simply do a:
'-query-data-'
zgrep -m 1 '^20140320-04' 20140320-0{3,4}*gz
BUT HOW to do the same with the last line without process the whole file as would be done with zcat (too heavy):
zcat foo.gz | tail -1
Additional info, those logs are created with the data time of it's initial record, so if I want to query logs at 14:00:00 I have to search, also, in files created BEFORE 14:00:00, as a file would be created at 13:50:00 and closed at 14:10:00.
The easiest solution would be to alter your log rotation to create smaller files.
The second easiest solution would be to use a compression tool that supports random access.
Projects like dictzip, BGZF, and csio each add sync flush points at various intervals within gzip-compressed data that allow you to seek to in a program aware of that extra information. While it exists in the standard, the vanilla gzip does not add such markers either by default or by option.
Files compressed by these random-access-friendly utilities are slightly larger (by perhaps 2-20%) due to the markers themselves, but fully support decompression with gzip or another utility that is unaware of these markers.
You can learn more at this question about random access in various compression formats.
There's also a "Blasted Bioinformatics" blog by Peter Cock with several posts on this topic, including:
BGZF - Blocked, Bigger & Better GZIP! – gzip with random access (like dictzip)
Random access to BZIP2? – An investigation (result: can't be done, though I do it below)
Random access to blocked XZ format (BXZF) – xz with improved random access support
Experiments with xz
xz (an LZMA compression format) actually has random access support on a per-block level, but you will only get a single block with the defaults.
File creation
xz can concatenate multiple archives together, in which case each archive would have its own block. The GNU split can do this easily:
split -b 50M --filter 'xz -c' big.log > big.log.sp.xz
This tells split to break big.log into 50MB chunks (before compression) and run each one through xz -c, which outputs the compressed chunk to standard output. We then collect that standard output into a single file named big.log.sp.xz.
To do this without GNU, you'd need a loop:
split -b 50M big.log big.log-part
for p in big.log-part*; do xz -c $p; done > big.log.sp.xz
rm big.log-part*
Parsing
You can get the list of block offsets with xz --verbose --list FILE.xz. If you want the last block, you need its compressed size (column 5) plus 36 bytes for overhead (found by comparing the size to hd big.log.sp0.xz |grep 7zXZ). Fetch that block using tail -c and pipe that through xz. Since the above question wants the last line of the file, I then pipe that through tail -n1:
SIZE=$(xz --verbose --list big.log.sp.xz |awk 'END { print $5 + 36 }')
tail -c $SIZE big.log.sp.xz |unxz -c |tail -n1
Side note
Version 5.1.1 introduced support for the --block-size flag:
xz --block-size=50M big.log
However, I have not been able to extract a specific block since it doesn't include full headers between blocks. I suspect this is nontrivial to do from the command line.
Experiments with gzip
gzip also supports concatenation. I (briefly) tried mimicking this process for gzip without any luck. gzip --verbose --list doesn't give enough information and it appears the headers are too variable to find.
This would require adding sync flush points, and since their size varies on the size of the last buffer in the previous compression, that's too hard to do on the command line (use dictzip or another of the previously discussed tools).
I did apt-get install dictzip and played with dictzip, but just a little. It doesn't work without arguments, creating a (massive!) .dz archive that neither dictunzip nor gunzip could understand.
Experiments with bzip2
bzip2 has headers we can find. This is still a bit messy, but it works.
Creation
This is just like the xz procedure above:
split -b 50M --filter 'bzip2 -c' big.log > big.log.sp.bz2
I should note that this is considerably slower than xz (48 min for bzip2 vs 17 min for xz vs 1 min for xz -0) as well as considerably larger (97M for bzip2 vs 25M for xz -0 vs 15M for xz), at least for my test log file.
Parsing
This is a little harder because we don't have the nice index. We have to guess at where to go, and we have to err on the side of scanning too much, but with a massive file, we'd still save I/O.
My guess for this test was 50000000 (out of the original 52428800, a pessimistic guess that isn't pessimistic enough for e.g. an H.264 movie.)
GUESS=50000000
LAST=$(tail -c$GUESS big.log.sp.bz2 \
|grep -abo 'BZh91AY&SY' |awk -F: 'END { print '$GUESS'-$1 }')
tail -c $LAST big.log.sp.bz2 |bunzip2 -c |tail -n1
This takes just the last 50 million bytes, finds the binary offset of the last BZIP2 header, subtracts that from the guess size, and pulls that many bytes off of the end of the file. Just that part is decompressed and thrown into tail.
Because this has to query the compressed file twice and has an extra scan (the grep call seeking the header, which examines the whole guessed space), this is a suboptimal solution. See also the below section on how slow bzip2 really is.
Perspective
Given how fast xz is, it's easily the best bet; using its fastest option (xz -0) is quite fast to compress or decompress and creates a smaller file than gzip or bzip2 on the log file I was testing with. Other tests (as well as various sources online) suggest that xz -0 is preferable to bzip2 in all scenarios.
————— No Random Access —————— ——————— Random Access ———————
FORMAT SIZE RATIO WRITE READ SIZE RATIO WRITE SEEK
————————— ————————————————————————————— —————————————————————————————
(original) 7211M 1.0000 - 0:06 7211M 1.0000 - 0:00
bzip2 96M 0.0133 48:31 3:15 97M 0.0134 47:39 0:00
gzip 79M 0.0109 0:59 0:22
dictzip 605M 0.0839 1:36 (fail)
xz -0 25M 0.0034 1:14 0:12 25M 0.0035 1:08 0:00
xz 14M 0.0019 16:32 0:11 14M 0.0020 16:44 0:00
Timing tests were not comprehensive, I did not average anything and disk caching was in use. Still, they look correct; there is a very small amount of overhead from split plus launching 145 compression instances rather than just one (this may even be a net gain if it allows an otherwise non-multithreaded utility to consume multiple threads).
Well, you can access randomly a gzipped file if you previously create an index for each file ...
I've developed a command line tool which creates indexes for gzip files which allow for very quick random access inside them:
https://github.com/circulosmeos/gztool
The tool has two options that may be of interest for you:
-S option supervise a still-growing file and creates an index for it as it is growing - this can be useful for gzipped rsyslog files as reduces to zero in the practice the time of index creation.
-t tails a gzip file: this way you can do: $ gztool -t foo.gz | tail -1
Please, note that if the index doesn't exists, this will consume the same time as a complete decompression: but as the index is reusable, next searches will be greatly reduced in time!
This tool is based on zran.c demonstration code from original zlib, so there's no out-of-the-rules magic!
I'm trying to write a bash script to audit hard drives that have been wiped to ensure the wiping system is working properly. I would like to find a way to hex dump specific parts of a drive without having to hex dump the entire drive and extract the parts I'd like (as this seems to run for too long to make the script worth writing). Ideally, I'd be able to grab parts from the beginning, middle, and end of the drive.
I would like to take the output of the hex dump and check it for the existence of only one character (indicating the drive has been successfully wiped). This part, I can handle, but I thought it may affect any advice I may get.
I've used head piped into xxd to get the beginning of the file which has worked, but I'm still stuck on the other parts. I've tried using tail to just get the end of the drive, but that doesn't seem to work quickly either. Is it possible to do this efficiently? Possibly using dd or something else and pipe it into a hex editor? I've looked through options for xxd as well as hexdump to no avail. If someone could point me in the right direction, it would be greatly appreciated!
xxd has options to skip a ways into the file (-s) and dump a limited length (-l). If you use its plain hex (-p) option, you may be able to use grep to find any anomalies:
$ xxd -s 8192 -l 256 -p /dev/disk3s2 | grep [^0]
000000010000000000000000000000000000000000000000000000000000
000000000000000000000000300000000000000800000000000000000000
dbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdb
dbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdb
dbdbdbdbdbdbdbdbdbdbdbdbdbdbdbdb
od has similar skip (-j) and limit length (-N). Similarly, dd has skip= and count= (although these are counted in blocks, not bytes; you can change the block size with bs=).
EDIT: Since xxd -p is giving weird results (not stopping at what should be the end of the device), I'd recommend running some tests to figure out what's going on. First, back up anything important on the computer, because if something is weird at the device access level, it's possible that some of these tests might overwrite something unexpected, possibly even on another disk.
Next, try dumping to the end of the device with different tools, and see if they all behave the same way:
xxd -s 65451982336 /dev/sdb | more # This *should* dump 512 bytes (32 lines) then stop, but apparently keeps going
od -xv -j 65451982336 /dev/sdb | more # This also *should* dump 512 bytes then stop
dd if=/dev/sdb skip=127835903 | xxd | more # This again should do the same thing (note that the skip value is in 512-byte blocks)
Do the other tools read past what fdisk reports as the end of the disk? If all three read more data, I'm going with the "fdisk is wrong/misleading" answer. You can test further by writing some nonzero data past the "end" and seeing what the results are:
dd if=/dev/random of=/dev/sdb seek=127835903 count=2
...then repeat the various dump commands. If they show two blocks (=64 lines) of random data followed by zeroes, I'm pretty sure the device is bigger than you think it is.
I am not near my shell, but something along these lines should get you started:
dd if=/dev/hda1 | hexdump -C | grep [^00]
will print all non-zero bytes.
dd if=/dev/hda1 | od -x -j100
will give you a hexadecimal dump with offsets, starting 100 bytes in.