Dear Sir,We have a bed file of Bos taurus from the latest Genome assembly ARS-UCD2.0 but the liftover tool has ARS-UCD1.2 (as latest in it). We want to convert the bed file of ARS-UCD2.0 to mouse genomic coordinates. Can you please guide us?ThanksShailesh
डॉ शैलेश शर्मा/ Dr Shailesh Sharma
वैज्ञानिक-ई / Scientist-E
ब्रिक-राष्ट्रीय पशु जैव प्रौद्योगिकी संस्थान (एन आई ऐ बी)
BRIC-National Institute of Animal Biotechnology (NIAB)Opp. Journalist Colony, Near Gowlidoddy,
Extended Q City Road, Gachibowli,
Hyderabad, Telangana, India
Hello, Shailesh.
Thank you for your interest in the Genome Browser and for your question about the LiftOver tool.
We offer liftOver as a utility to move annotations in bed format from GCF_002263795.3 (ARS-UCD2.0) to mm39. You can download the ‘liftOver’ utility from the downloads page, https://hgdownload.soe.ucsc.edu/downloads.html#utilities_downloads. You can then find liftOver under the directory that matches your operating system. For example, here is the direct link for Linux: https://hgdownload.soe.ucsc.edu/admin/exe/linux.x86_64/liftOver
You can then run liftOver as the following:
The GCF_002263795.3 to mm39 over.chain file is available on our downloads server: https://hgdownload.soe.ucsc.edu/hubs/GCF/002/263/795/GCF_002263795.3/liftOver/GCF_002263795.3ToMm39.over.chain.gz
The mm39 to GCF_002263795.3 (ARS-UCD2.0) over.chain file can be found here: https://hgdownload.soe.ucsc.edu/goldenPath/mm39/liftOver/mm39ToGCF_002263795.3.over.chain.gz
You can run a utility on its own to see a help message, e.x.
I hope this is helpful. If you have any further questions, please reply to gen...@soe.ucsc.edu. All messages sent to that address are archived on a publicly-accessible Google Groups forum. If your question includes sensitive data, you may send it instead to genom...@soe.ucsc.edu.
Gerardo Perez
UCSC Genomics Institute
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Hello,
Thank you for using the UCSC Genome Browser and sending your inquiry.
To assist you further, can you please also send us the assembly IDs for each of these organisms? Without the assembly IDs, we do not know which assembly you need for the liftOver files.
If you have any further questions, please reply to gen...@soe.ucsc.edu.
All messages sent to that address are archived on a publicly accessible Google Groups forum.
If your question includes sensitive data, you may send it instead to genom...@soe.ucsc.edu.
Jairo Navarro
UCSC Genome Browser
I hope this is helpful. If you have any further questions, please reply to gen...@soe.ucsc.edu. All messages sent to that address are archived on a publicly-accessible Google Groups forum. If your question includes sensitive data, you may send it instead to genom...@soe.ucsc.edu.
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Matthew Speir
UCSC Genome Browser, User Support

WHAT YOU ALREADY DID. pLS EXPLAIN WITH ATLEST 2-3 FIGURES AND TABLESOn Wed, Apr 30, 2025 at 2:40 PM Dushyant Deotale <dushyant....@gmail.com> wrote:hello, liftover tool teamWe want to know the basic algorithm of the LiftOver tool to know how it works and how it gives output.On Tue, Apr 29, 2025 at 2:26 PM Shailesh Sharma <shailes...@niab.org.in> wrote:Dushyant pls update meOn Mon, Apr 21, 2025 at 2:50 PM Shailesh Sharma <shailes...@niab.org.in> wrote:Dushyant pls update meOn Mon, Apr 7, 2025 at 10:13 PM Shailesh Sharma <shailes...@niab.org.in> wrote:Please have a look
Hello, Dushyant.
Thank you for your interest in the UCSC Genome Browser and for sending your inquiry.
The core of the LiftOver algorithm is based on projecting coordinates through precomputed alignment data between two species’ genomes. In this case, the projection occurs between cattle and buffalo. The tool relies on chain and net alignment files, which describe how regions in one genome align to another. Because these alignments are precomputed, the tool does not require a FASTA sequence as input.
However, the process becomes more complex when dealing with features that have a block structure, such as transcripts with exons and introns, or when only part of a region maps. For example, only the start or end of a region may align successfully. The tool also offers advanced options like -multiple and -ends, which influence how mappings are handled.
Generating whole-genome alignments (chains and nets) is a significantly more complex process than the coordinate conversion that LiftOver performs. If you are interested in how these alignments are generated, we recommend reviewing the following paper: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC208784/.
I hope this is helpful. If you have any further questions, please reply to gen...@soe.ucsc.edu. All messages sent to that address are archived on a publicly-accessible Google Groups forum. If your question includes sensitive data, you may send it instead to genom...@soe.ucsc.edu.
Gerardo Perez
UCSC Genomics Institute