MartGro

https://en.vectorbuilder.com/resources/vector-component/promoter.html#c36366b72eb1471bbd5d915571241f43&&mammalian-tissue-specific-promoters

MartGro

import rpy2.robjects as ro
from rpy2.robjects import pandas2ri, Formula
from rpy2.robjects.packages import importr
import pandas as pd
import numpy as np
from pathlib import Path
import matplotlib.pyplot as plt

# Enable conversion between pandas and R dataframes
pandas2ri.activate()

MartGro

import pydeseq2
from pydeseq2.dds import DeseqDataSet
from pydeseq2.ds import DeseqStats

import pandas as pd
import numpy as np
from itertools import combinations
from pathlib import Path

# Create output directory if it doesn't exist

MartGro

import requests
import time
import logging
import json
from typing import Dict, List, Optional
from datetime import datetime

class EnsemblCompara:
    def __init__(self, debug: bool = True):
        self.base_url = "https://rest.ensembl.org"

MartGro

import os
import re
from pathlib import Path
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from Bio.SeqFeature import SeqFeature, FeatureLocation
from datetime import datetime

def parse_pdraw(pdraw_content):

MartGro

https://bioconda.github.io/recipes/rmats/README.html

1) install it via conda
conda install rmats -c bioconda

2) check 
which rmats.py

MartGro

Places where you can find recordings of radio signals with different modulations:

https://www.sdrangel.org/iq-files/
https://www.sdrplay.com/iq-demo-files/
https://lucasteske.dev/satcom-projects/sample-baseband-files

MartGro

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=main
_openmp_mutex=5.1=1_gnu
argcomplete=3.1.1=pypi_0
argh=0.27.2=pypi_0
biopython=1.79=pypi_0
ca-certificates=2023.7.22=hbcca054_0
certifi=2016.9.26=py36_0

MartGro

1. Get the Driver

Download the driver from the following link:

https://www.sdrplay.com/dlfinishs/

2. Follow the Instructions of CubicSDR

For instructions on how to build CubicSDR on Linux, refer to the following link:

MartGro

import sys
from PyQt5.QtWidgets import QApplication, QLabel
from PyQt5.QtGui import QPixmap

class ImageWidget(QLabel):
    """
    A QLabel widget that displays an image from a file
    """
    def __init__(self, parent=None):
        """