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The main claim is that pseudo-alignment is much faster than traditional alignment, but often I see pseudo-alignment to transcriptome compared to alignment to genome. Though STAR at least has issues building indices for transcriptomes. I wanted to try to benchmark myself if alignment to transcriptome is much slower than pseudo-alignment, but it asked for 100gb of RAM to create an index for 250mb of mm10 transcriptome. This issue shows that STAR shockingly requests for 1TB of ram to build an index for a 900mb axolotl transcriptome. So even if the alignment itself might be fast, the indexing is not fit-for-purpose.