Can some body suggest me how to compare two DNA sequences.Please note that the sequences which i have are in ABI format, Actually i have tried in blastn but it hasn't accepted in the above file format.Hence i have converted the file to fasta.but still i am unable to..can some one help me out in this...
-
-
If your basecalling/conversion was succesful you should have something that looks like this in a text editor.
Try one of these tools: http://www.ebi.ac.uk/Tools/psa/ or BLAST two sequences -
This program (http://www.dnabaser.com/download/chromatogram-explorer/) can read ABI files in and compare them directly. There are many commercial programs that can read ABI files but you probably don't have access to one.
If you have managed to convert ABI files to fasta format then sarvidsson already has provided some suggestions. You could also simply use clustalX to do a pair-wise sequence alignment (if the two sequences are similar).Comment
-
CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...Yesterday, 11:01 AM -
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...07-20-2026, 11:48 AM -
Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
...07-09-2026, 11:10 AM
Comment