3. How to...

How to...


  • How to recursively change the permissions of specific file types in a folder using chmod:

    find ./ -type f -iname "*.sh" -exec chmod +x {} \;

  • How to sort fastq files by their titles:

    cat file.fastq | paste - - - - | sort -k1,1 -t " " | tr "\t" "\n" > file_sorted.fastq

  • How to bypass paywalls:
    https://gitlab.com/magnolia1234/bypass-paywalls-chrome-clean


  • How to list all running processes in PBS-PRO

    qstat -rn1tw

  • How to find a best blast hit:

    https://www.biostars.org/p/144569/


  • How to generate pseudohaploid genome assemblies


  • How to calibrate an XYZ Printing da Vinci 2.0 A Duo 3D-printer:

    xyz calibrate.jpg


  • How to make the plastic stick to the base when 3d printing:

    https://www.youtube.com/watch?v=ShFaJ027pFs


  • How to install point-e on Windows 11:

    #in Windows Powershell note down the cuda version from this command:
nvidia-smi.exe

#look up the channel for your cuda version using this site:
#https://anaconda.org/nvidia/repo/installers?


#In Anaconda powershell:
conda update conda
conda update anaconda
conda update python
conda update --all
conda create --name point-e pip
#Now exit from the Powershell you are using and then open a new one before you activate the new "env".
conda activate point-e
#install cuda from the channel identified previously
conda install cuda --channel "nvidia/label/cuda-12.0"
#NB. there doesn't seem to be an option (yet) to use cud=12.0 in the code line below.  The line below is suggested when visiting https://pytorch.org/

conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia
#NB. I  found that the line below was necessary to get things to work
conda install cudatoolkit

conda install ipykernel jupyter

nvcc --version
conda install -c anaconda git
git clone https://github.com/openai/point-e.git
cd point-e
pip install -e .

jupyter notebook

#navigate to the notebook in Jupyter at:
#./point-e/point_e/examples/text2pointcloud.ipynb

#In the notebook add a cell at the beginning with the code below to test if the GPU is detectable:

import torch
print(f'PyTorch version: {torch.__version__}')
print('*'*10)
print(f'_CUDA version: ')
!nvcc --version
print('*'*10)
print(f'CUDNN version: {torch.backends.cudnn.version()}')
print(f'Available GPU devices: {torch.cuda.device_count()}')
print(f'Device Name: {torch.cuda.get_device_name()}')

#NB. I had an issue with the kernel crashing when plotting the pointclouds. 
#The error in the anaconda powershell was: 
#OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
#The solution was to add a cell at the start of the script with the code:
import os
os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"
#NB. The above workaround apparently may cause crashes or silently produce incorrect results....

  • How to visualise massive point clouds in python:
    https://towardsdatascience.com/guide-to-real-time-visualisation-of-massive-3d-point-clouds-in-python-ea6f00241ee0


  • How to create threaded replies in NodeBB:

    https://github.com/NodeBB/NodeBB/issues/7319


  • How to negotiate a better home loan rate with your bank (from Barefoot Investor SCOTT PAPE):

    You: Hello, my account number is ______. I’ve been with you for ___ years, but I’ve applied to refinance with UBank. Their rate is ____ per cent, which is a full ___ per cent cheaper than you’re charging me. Given our longstanding relationship, I’d like you to match the offer — or send me the forms I need to switch to UBank.

    Bank rep: One moment, please.

    (You’re bluffing, of course. However, the bank’s sales team have strict targets, backed by incentives, that they have to meet — one of which is giving profitable customers discounts to stop them leaving.)

    Bank rep: We can’t match the rate you have quoted. However, we understand you are a valuable customer, so we would like to offer you a 0.15 per cent discount.

    You: That’s not good enough. I’ve already got conditional approval … so in order to stay I need at least a 0.5 per cent discount. Could you please speak to your supervisor? I’m happy to wait.

    Bank rep (a full six minutes later): On reviewing your case, we can offer you that 0.5 per cent discount on your current rate.

    You: Brilliant! Please send me an email confirming the new rate and confirming that it will be applied as of start of business tomorrow.


  • How to fix the error "FATAL: container creation failed:" "error: can't mount image " "failed to mount squashfs filesystem: input/output error":

    #This occurs when you try to run a singularity container within a VM and it is located on a mounted ntfs filesystem. The solution is to transfer the container to a different filesystem eg. ext3.

  • How to run docker-compose when you get the errors:

    • File "posixpath.py", line 376, in abspath
    • FileNotFoundError: [Errno 2] No such file or directory

    Open a new terminal and repeat the command.


  • How to login to root account in a new ubuntu/xubuntu virtual machine that has been set up with a non-administrator account:

    su
yourpasswordfortheuseraccount

  • How to update apt and install filezilla on xubuntu using a proxy:

    sudo apt -o Acquire::http::proxy="http://user:password@host:port/" update
sudo apt -o Acquire::http::proxy="http://user:password@host:port/" install filezilla

  • How to install ubuntu on windows:

    1. Follow the instructions at:
      https://s1gr1d.medium.com/how-to-set-up-linux-on-windows-with-wsl-2-debe2a64d20d
      (NB. these instructions work for Windows 10 and 11 although the location of the Settings menus may differ slightly. Also note that VMX is the same as VT-X in the BIOS settings)
    2. In Windows Powershell, you may also need to issue the following commands:
    bcdedit /set hypervisorlaunchtype Auto
wsl --update

  • How to use your phone as a webcam:

    https://www.youtube.com/watch?v=ArVDKf2QK1s


  • How to fix the following error in NextFlow:

    WARN: Failed to render DAG file:

    This error prevents NextFlow from drawing the DAG for the pipeline.

    #install Graphviz 
#eg. with conda
conda install -c conda-forge graphviz

  • How to gather and group all tuple elements in a NextFlow channel by the first and second indexes of each tuple, perform a process on a file containing the first and second indices, and then reform the original channel by scattering:

    hc_ch = Channel.of(
    ['abc', 1, file('file1.txt')],
    ['abc', 1, file('file2.txt')],
    ['abc', 1, file('file3.txt')],
    ['def', 2, file('file4.txt')]
)

combinedChannel = hc_ch.groupTuple(by: [0, 1])
    • Expected structure of combinedChannel:

    [ ['abc', 1, [file('file1.txt'), file('file2.txt'), file('file3.txt')]],
    ['def', 2, [file('file4.txt')]]
    ]

    
process delete_txt {

    input:
    tuple val(id), val(sub_id), val(files) from combinedChannel

    output:
    tuple val(id), val(sub_id), val(files) into processedChannel

    script:
    """
    rm ${id}_${sub_id}.txt
    """
}
    • Expected structure of processedChannel:

    [ ['abc', 1, [file('file1.txt'), file('file2.txt'), file('file3.txt')]],
    ['def', 2, [file('file4.txt')]]
    ]

    flattenedChannel = processedChannel.flatMap { id, sub_id, files -> files.collect { [id, sub_id, it] } }
    • Expected structure of flattenedChannel:
      [ ['abc', 1, file('file1.txt')],
      ['abc', 1, file('file2.txt')],
      ['abc', 1, file('file3.txt')],
      ['def', 2, file('file4.txt')]
      ]
Log in to reply
 
Powered by ShareZomics