Recent advancements in sequencing machines have rapidly improved our ability to study genomic material at an unprecedented scale. Despite substantial improvements in sequencing technologies, errors present in the data still risk confounding downstream analysis and limiting the applicability of sequencing technologies. Computational error correction promises to eliminate sequencing errors, but the relative accuracy of error correction algorithms remains unknown. So, we aim to develop software dealing with different biological data using artificial intelligence technology to detect a specific error resulting about machine sequence and try to correct it to get best accuracy.
website that deal with different biological data using artificial intelligence technology to detect a specific error resulting from NGS machine and try to correct it to get best accuracy.
This video explain our idea.