Hello Dominik,
Thank you for writing to the Genome Browser with your question about multiple alignments to the cow genome.
Running the whole genome alignments can be a somewhat complicated process. The most complete documentation on the topic can be found here:
I will explain the steps briefly here. To summarizehttp://genomewiki.ucsc.edu/index.php/Whole_genome_alignment_howto
First, you will need pair-wise alignment MAF files between each organism and the cow assembly you are using. We have .axt files for select organisms in the bosTau8/vsGenome directories (http://hgdownload.soe.ucsc.edu/goldenPath/bosTau8/) which can be converted to the MAF input format for MultiZ using the axtToMaf utility available in our utilities directory (http://hgdownload.soe.ucsc.edu/admin/exe/linux.x86_64/). Since you may want to create your own chain files, you will need to use the program doBlatzChainsNets.pl, which requires 2bit and chrom.sizes input files. Generating these will require two additional utilities "faToTwoBit" and "faSizes -detailed". The pairwise MAF generation process is described in detail here:
This will also generate chain files that can be viewed as bigChain files (https://genome.ucsc.edu/goldenPath/help/bigChain.html). There are three different types of pairwise MAFs generated with different filtering methods depending on the sensitivity you want.
Once you have your pairwise MAF files made, you will need to run the MultiZ program to generate multi-species MAF files. For a reference on how the human 20-way MultiZ alignment was made, you can refer to the makeDoc log of the process:
Then you will have your multi-species MAF files, which can be converted to bigMaf and displayed on the Genome Browser. You can read more about MAF and bigMaf formats here:
https://genome.ucsc.edu/FAQ/FAQformat.html#format5
https://genome.ucsc.edu/goldenPath/help/bigMaf.html
I hope this was helpful. If you have any more questions, please reply to gen...@soe.ucsc.edu. All messages sent to that address are publicly archived. If your question includes sensitive data, you may send it instead to genom...@soe.ucsc.edu.
All the best,
Daniel Schmelter
UCSC Genomics Institute
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