Hoohm

// Clear form
function ClearCell(){
  var ss = SpreadsheetApp.getActiveSpreadsheet()
  var formS = ss.getSheetByName("Form"); // Sheet name

  var rangesToClear = ["B3","B6","B8","B10","D6","D8","D10"]; // List of cells to clear
  for (var i=0; i<rangesToClear.length; i++){
    formS.getRange(rangesToClear[i]).clearContent();
  }
}

Hoohm

import csv


filtered_set = set()

with open('filtered_RNA_V3.txt','r') as fitlered_whitelist:
    csv_reader = csv.reader(fitlered_whitelist, delimiter=',')
    for cell_barcode in csv_reader:
        filtered_set.add(cell_barcode[0].strip('-1').strip())

Hoohm

import string
import regex
import numpy as np

test = 'AGCTAGCTGANNNNNAGCTANNNNNAGCTAGCTAGXXXXXXXXXX'


def generate_regex(barcode_template, positions, number_mismatches):
	final_regex = '(?:'
	position = 0

Hoohm

def create_file_id(file_path, block_size=256):
    '''
    Function that takes a file and returns the first 10 characters of a hash of
    10 times block size in the middle of the file
    Input: File path as string
    Output: Hash of 10 blocks of 128 bits of size as string plus file size as string
    '''
    file_size = os.path.getsize(file_path)
    start_index = int(file_size / 2)
    with open(file_path, 'r') as f: