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Quasi-mapping / (lightweight / pseudo)-alignment is the term that is used here for the type of information required for certain tasks (e.g. transcript quantification) that is less "heavyweight" than what is provided by traditional alignment. For example, one may only need to know the transcripts / contigs to which a read aligns and, perhaps, the position within those transcripts rather than the optimal alignment and base-for-base CIGAR string that aligns the read and substring of the transcript. For details on RapMap (quasi-mapping in particular), please check out the associated paper. Note: RapMap implements both quasi- mapping and pseudo-alignment (originally introduced in Bray et al. 2016), these two are not the same thing. They are distinct concepts, and RapMap simply happens to implement algorithms for computing both.