Evolution projects rely on the Next Generation Sequencing (NGS) technologies to try to decipher the dynamics of genomic changes
as well as the molecular bases and the mechanisms underlying adaptative evolution of micro-organisms.
To address these problematics, we designed a bioinformatic pipeline, called
SNiPer, which allows the comparison and the detection
of small variations (SNPs and InDels) between sequencing reads of evolved clones and the genomic reference sequence of their ancestor.
Based on the
SSAHA2 package, SNiPer takes into account raw
sequencing data and associated qualities to discriminate between true variations and sequencing errors.
This functionality offers different tools to explore and analyze the mutations predicted by SNiPer in their genomic and functional context.