Transcriptomics projects can include assembling transcriptomes, searching for novel genes or isoforms, computing differential expression between groups of samples. Software employed may include tophat/cufflinks (Tuxedo suite) and/or R Bioconductor packages run on High Throughput Computing systems.
Publications of Interest for RNASeq:
- Trimming NGS Reads: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0085024
- Normalizing Illumina RNASeq data: http://bib.oxfordjournals.org/content/early/2012/09/15/bib.bbs046.long
Project costs will vary depending on species, amount of data, and software pipeline. Contact us to discuss your data analysis needs.