Before taking up NGS data for analysis interesting questions raised early on can pretty much foster a successful analysis through. This ensures no communication breakdowns take place between scientist on both sides of the NGS story, the sequencing facility and the computational facility.
As a bioinformatician it is interesting to me to have information on the type of experiment (DNA seq, RNA seq, assembly...etc), data (single end, paired end), platforms and throughput, depth and coverage of reads, samples/patients naming conventions, encoding, replicates, study design (whole genome, whole exon..etc), adaptor files if any. And foremost; on how far my capacity (load/experience/enthusiasm) can lead me.
My short list maybe missing more interesting question so what are your expectations before accepting data for analysis depending on the type of experiment ?
As a bioinformatician it is interesting to me to have information on the type of experiment (DNA seq, RNA seq, assembly...etc), data (single end, paired end), platforms and throughput, depth and coverage of reads, samples/patients naming conventions, encoding, replicates, study design (whole genome, whole exon..etc), adaptor files if any. And foremost; on how far my capacity (load/experience/enthusiasm) can lead me.
My short list maybe missing more interesting question so what are your expectations before accepting data for analysis depending on the type of experiment ?
