Single molecule counting and assessment of random molecular tagging errors with transposable giga-scale error-correcting barcodes.

ABSTRACT:

Background

RNA-Seq measures gene expression by counting sequence reads belonging to unique cDNA fragments. Molecular barcodes commonly in the form of random nucleotides were recently introduced to improve gene expression measures by detecting amplification duplicates, but are susceptible to errors generated during PCR and sequencing. This results in false positive counts, leading to inaccurate transcriptome quantification especially at low input and single-cell RNA amounts where the total number of molecules present is minuscule. To address this issue, we demonstrated the systematic identification of molecular species using transposable error-correcting barcodes that are exponentially expanded to tens of billions of unique labels.

Results

We experimentally showed random-mer

SUBMITTER: Lau BT 

PROVIDER: S-EPMC5609065 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature