Sanger sequencing data analysis is the process of interpreting the results obtained from Sanger sequencing, a method used to determine the nucleotide sequence of DNA fragments. Here's an overview of the steps involved in Sanger sequencing data analysis:

1 Data Collection: The first step is to obtain the raw sequencing data from the Sanger sequencing machine. This typically involves capturing the chromatogram files generated during the sequencing process.

2 Base Calling: The raw data collected from the sequencing machine is converted into readable sequence data through a process called base calling. Each peak in the chromatogram corresponds to one of the four DNA bases (A, T, G, or C). Base calling software interprets the peaks and assigns the corresponding base to each position along the sequence.

3 Quality Control: After base calling, it's essential to assess the quality of the sequencing data. This involves checking for factors such as signal-to-noise ratio, peak heights, and peak shapes to ensure the accuracy of the base calls.

4 Sequence Alignment: Once the sequences have been obtained and checked for quality, they are typically aligned with a reference sequence or with each other to identify similarities, differences, and any variations such as mutations or polymorphisms.

5 Variant Detection: If the goal of the sequencing is to identify genetic variants or mutations, variant detection algorithms are used to compare the sequenced DNA with a reference sequence and identify any variations present.

6Annotation and Interpretation: Finally, the identified variants or sequence features are annotated and interpreted in the context of the research question or clinical application. This may involve determining the functional significance of the variants and their potential implications for health, disease, or other biological processes.

Thanks for your reply. I know what is sanger sequencing. My question was about free tools for the analysis. As most of software are paid.

oh sorry, here are some free tools Chromas, Bioedit, ApE, Geneious and snapgene view