aesuli

import numpy as np
from scipy.sparse import csr_matrix
import torch

__author__ = 'Andrea Esuli'

Acsr = csr_matrix([[1, 2, 0], [0, 0, 3], [4, 0, 5]])
print('Acsr',Acsr)

Acoo = Acsr.tocoo()

fsteffenhagen

# Input: list of rows with format: "<filesize> filename", e.g.
# filesizes.txt
#######################
# 1000K  file1.txt
# 200M   file2.txt
# 2G     file3.txt
#

# Output:
cat filesizes.txt | numfmt --from=iec | awk 'BEGIN {sum=0} {sum=sum+$1} END {printf "%.0f\n", sum}'

ctokheim

Overview

UCSC's track hubs allow multiple wig files to be displayed in a single custom track. Thus possibly overlaying multiple types of data or displaying strand specific read depth. Individual sub-tracks within a custom track can then be toggled on/off.

Getting Started

The official documentation of UCSC's track hubs can be found at http://genome.ucsc.edu/goldenPath/help/hgTrackHubHelp.html.