Project description:We undertook four mammalian transcriptomics experiments to compare the effect of read mapping, feature counting and differential expression analysis using single-end (SE) and paired-end (PE) protocols. For three of these experiments we also compared a non-stranded (NS) and a strand-specific approach to mapping the paired-end data.
Project description:Used a DNA tag sequencing and mapping strategy called gene identification signature (GIS) analysis, in which 5' and 3' signatures of full-length cDNAs are accurately extracted into paired-end ditags (PETs) that are concatenated for efficient sequencing and mapped to genome sequences to demarcate the transcription boundaries of every gene. GIS analysis is potentially 30-fold more efficient than standard cDNA sequencing approaches for transcriptome characterization. Keywords: Paired End DiTags
Project description:Used a DNA tag sequencing and mapping strategy called gene identification signature (GIS) analysis, in which 5' and 3' signatures of full-length cDNAs are accurately extracted into paired-end ditags (PETs) that are concatenated for efficient sequencing and mapped to genome sequences to demarcate the transcription boundaries of every gene. GIS analysis is potentially 30-fold more efficient than standard cDNA sequencing approaches for transcriptome characterization. Keywords: Paired End DiTags 5 zebrafish tissues examined.
Project description:The aim of this project was to detect S. cerevisiae fragments in the genome of S. bayanus Type strain CBS380 and pure line NBRC1948 (=IFO1948). The hybridization signal is compared to S. uvarum BBS7001 whose genome has been sequenced and in which no S. cerevisiae sequence has been detected. Comparison CBS380 (2 arrays) or IFO1948 (one array) to CBS 7001 (2 arrays).