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. 2021 Mar 8;37(18):3014–3016. doi: 10.1093/bioinformatics/btab152

Table 1.

Top: Comparison of BigWig-enabled tools when computing coverage sums over repetitive-element intervals for 10 GTEx brain tissue BigWigs and Bottom: Comparison of BAM-enabled tools when computing coverage means over exome intervals for a 30× WGS BAM

Tool Relative time Run time Memory (MiB) BAM input BigWig input MacOS Windows native R interface
Megadepth (BigWig) 1.00 1 m:57 s 543 Yes Yes Yes Yes Yes
megadepth-R (BigWig) 2.13 4m:09 s 808 Yes Yes Yes Yes Yes
WiggleTools (BigWig) 4.06 7 m:54 s 10,379 Yes Yes Yes No No
pyBigWig 68.13 2 h:12 m:36 s 7 Yes Yes Yes No No
bwtool 90.48 2 h:56 m:06 s 750 No Yes No No No
rtracklayer 100.61 3 h:15 m:49 s 14,074 Yes Yes Yes No Yes
Megadepth (BAM) 1.00 2 m:17 s 1,016 Yes Yes Yes Yes Yes
Mosdepth 5.58 12 m:43 s 1,911 Yes No Yes No No
Samtools 40.05 1 h:31 m:20 s 15 Yes No Yes Yes Yes
Sambamba 3.55 8 m:05 s 157 Yes No Yes No No
WiggleTools (BAM) 628.56 23 h:55 m:13 s 372 Yes Yes Yes No No

Note: Each tool’s features are also summarized. All runs use a single thread except WiggleTools, which non-optionally uses extra threads for input and output.