I have a gene of of interest that I would like to compare between homologues. How does one go about finding a gene from known coding sequences across phyla? Afterwards I imagine I could do a Clustal sequence alignment to see how the sequences match.
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There are various databases of homologs, for example:
The advantage of using an existing database is that more sophisticated methods for detecting orthologs than simple BLAST searches have been used (see "Computational methods for Gene Orthology inference" for a review), and everything is already precomputed, so it's much faster. The downside is that all precomputed methods need to use a snapshot of the genomes from the past, so not all currently available genomes will be there. |
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If I understand your question adequately, the Genome Browser at UCSC is a great place to start. If you know the name of the gene, you can search for it. For example, here is the page for human insulin receptor 1. From there you can compare 46 genomes, with alignments. |
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If you don't have any idea where your gene will have a match with other genes, try something like Blast at the NCBI website. This will give you a list of hits that you can then use to align with a multiple sequence aligner (MSA). The same NCBI page can give you a tree reconstructed from the results of the searching process, although there is a variety of methods that can be used if you just download the sequences and attempt to build the gene family alignment yourself using "[x] Select All -- Get selected sequences" in the NCBI blast results page, then downloading them in FASTA or other format with "Send to -- File -- Format FASTA -- Create File". If what you want instead is to include your gene sequence into the best aligning place in an existing gene family alignment, you can try PAGAN. |
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maybe you'd like NCBI/Homologene instead. http://www.ncbi.nlm.nih.gov/homologene or just using psiblast against NR if you have a nucleotide or protein sequence. |
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Just adding my 5 cents, there is a recent database called metaphors:
It is particularly good because:
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