Should I trim adapters from my Illumina reads? This depends on the objective of your experiments. In case you are sequencing for counting applications like differential gene expression (DGE) RNA-seq analysis, ChIP-seq, ATAC-seq, read trimming is generally not required anymore when using modern aligners. For such studies local aligners or pseudo-aligners should be used.
Modern "local aligners" like STAR, BWA-MEM, HISAT2, will "soft-clip" non-matching sequences. Pseudo-aligners like Kallisto or Salmon will also not have any problem with reads containing adapter sequences. However, if the data are used for variant analyses, genome annotation or genome or transcriptome assembly purposes, we recommend read trimming, including both, adapter and quality trimming.
Truseq forward read: AGATCGGAAGAGCACACGTCTGAACTCCAGTCA Truseq reverse read: AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGT
Nextera: CTGTCTCTTATACACATCT
For small RNA/miRNA sequencing data please use this sequence but also see this FAQ: How should the miRNA/smallRNA data be trimmed?.
TruSeq Small RNA: TGGAATTCTCGGGTGCCAAGG