Hi!
I received some data produced by single-cell sequencing (smart-seq2). After aligning onto the corresponding genome (+ERCC) I got a matrix of count which look quite sparsed:
ID  start   end strand  length  count1  count2  count3
ERCC-00004  1   523 +   523 1902    145 2328
ERCC-00009  1   984 +   984 318 29  428
ERCC-00012  1   994 +   994 0   0   0
ERCC-00013  1   808 +   808 0   0   0
ERCC-00014  1   1957    +   1957    0   0   0
With typically higher concentration ERCCs being detected but not lower ones.
I know for sure that those samples were not sequenced deep enough but I wanted to know if for ERCCs in single-cell sequencing I should expect to see every ERCC detected or is it common to see some drop-off ?
Thanks in advance!
Hi! I also received Smart-seq2 data. I never analyzed data coming from... so I would ask how to perform the first steps. I got XX fastq files.. so I first trimmed after a QC report then I would align them separately with star or tophat and then quantify the abundance of each transcript with RSEM or HTseq count.. then use R (scater) to perfom further analysis.. is this workflow correct or should I use different tools ??
thanks in advance