title: Automated Sanger Analysis Pipeline (ASAP): A Tool for Rapidly Analyzing Sanger Sequencing Data with Minimum User Interference.
abstract: Sanger sequencing platforms, such as applied biosystems instruments, generate chromatogram files. Generally, for 1 region of a sequence, we use both forward and reverse primers to sequence that area, in that way, we have 2 sequences that need to be aligned and a consensus generated before mutation detection studies. This work is cumbersome and takes time, especially if the gene is large with many exons. Hence, we devised a rapid automated command system to filter, build, and align consensus sequences and also optionally extract exonic regions, translate them in all frames, and perform an amino acid alignment starting from raw sequence data within a very short time. In full capabilities of Automated Mutation Analysis Pipeline (ASAP), it is able to read "*.ab1" chromatogram files through command line interface, convert it to the FASTQ format, trim the low-quality regions, reverse-complement the reverse sequence, create a consensus sequence, extract the exonic regions using a reference exonic sequence, translate the sequence in all frames, and align the nucleic acid and amino acid sequences to reference nucleic acid and amino acid sequences, respectively. All files are created and can be used for further analysis. ASAP is available as Python 3.x executable at https://github.com/aditya-88/ASAP. The version described in this paper is 0.28.
authors: Advanced Paediatrics Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
authors: Aditya
authors: A
authors: Singh
authors: Advanced Paediatrics Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
authors: Prateek
authors: P
authors: Bhatia
mesh_terms: D057205:Automation, Laboratory; D001483:Base Sequence; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software
keywords: Python; Sanger sequencing; alignment; automation; bioinformatics; chromatogram; pipeline; single nucelotide polymorphisms