
Using the code in this file, we will process rbcL metabarcoding data using the Dada2 pipeline. (DATA REDUCTION STAGE). Our goal is to remove primers, and then use the DADA2 algorithm to assess read quality, denoise, and merge our sequences. Finally, we will assign our sequences to ASVs and assign these to taxonomy using DADA2 and a reference database.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
