Tweet
I have a fasta file with gene sequences - are there existing tools / pipelines that calculate & quantify the variable and conserved regions? Assuming that there has to be an accepted protocol / method for this but haven't found anything...
-
-
Are the sequences from one gene (or multiple genes)? Generally a multiple sequence alignment (MSA) will give you this information. -
the sequences are all from one gene...Comment
-
Look into clustalW (or clustal omega if these are protein sequences). T-coffee/MUSCLE/MAFFT are all programs that can be used (http://www.ebi.ac.uk/Tools/msa/) for alignments as well. You may need to download and run the programs locally if you have a large number of sequences.
What exactly are you looking for in terms of "calculate and quantify"?Comment
-
what I'm looking to do is take the reads from a sequencing run and 'ensure' (as best I can) that the correct target section was in fact amplified... I have run the reads through usearch against a database of target gene sequences - but I am trying to see what kind of variability may be expected by calculating the existing variability in the known / published gene sequences...Comment
-
If your data is still in the form of individual reads then you may want to use an NGS aligner (BBMap, bowtie2, BWA) to align them the gene (or genes?) region and create a BAM. Then you can use samtools/bcftools to call SNP's/get a consensus sequence for the gene(s).Comment
-
yeah, I aligned them w/ bwa, created a bam file and then viewed them in igv and the reads - or 54% of them - are aligning along the bacterial genome where the gene is located...
but since it is coming from a clinical sample I am trying to see what the variability is along the existing db of sequenced genes to have something to help put the alignment score into perspective... I think I'll just write a simple script to calculate the base abundance once muscle finishes aligning the existing sequences...Comment
-
The first FDA-approved CRISPR-based therapy marked the transition of therapeutic gene editing from a dream to reality1. CRISPR technologies have streamlined gene editing, and CRISPR screens have become an important approach for identifying genes involved in disease processes2. This technique introduces targeted mutations across numerous genes, enabling large-scale identification of gene functions, interactions, and pathways3. Identifying the full range...08-27-2024, 04:44 AM -
Sequencing mRNA provides a snapshot of cellular activity, allowing researchers to study the dynamics of cellular processes, compare gene expression across different tissue types, and gain insights into the mechanisms of complex diseases. “mRNA’s central role in the dogma of molecular biology makes it a logical and relevant focus for transcriptomic studies,” stated Sebastian Aguilar Pierlé, Ph.D., Application Development Lead at Inorevia. “One of the major hurdles for...08-07-2024, 12:11 PM
Comment