An accessible database for mouse and human whole transcriptome qPCR primers

作者:Zeisel Amit*; Yitzhaky Assif; Ben Moshe Noa Bossel; Domany Eytan
来源:Bioinformatics, 2013, 29(10): 1355-1356.
DOI:10.1093/bioinformatics/btt145

摘要

Motivation: Real time quantitative polymerase chain reaction (qPCR) is an important tool in quantitative studies of DNA and RNA molecules; especially in transcriptome studies, where different primer combinations allow identification of specific transcripts such as splice variants or precursor messenger RNA. Several softwares that implement various rules for optimal primer design are available. Nevertheless, as designing qPCR primers needs to be done manually, the repeated task is tedious, time consuming and prone to errors. Results: We used a set of rules to automatically design all possible exon-exon and intron-exon junctions in the human and mouse transcriptomes. The resulting database is included as a track in the UCSC genome browser, making it widely accessible and easy to use.

  • 出版日期2013-5-15