I'm almost sure the inconsistency is not due to something in the SAMtools source but is rather within the linux-headers-3.13.0-24-generic package in Linux Mint 17, that it's somehow out of sync with itself and/or with the corresponding headers in gcc 4.8.2. Would using gcc 4.9 likely make a difference?
I can post again and attach my compilation output, but I was mainly interested in whether you (or someone else) could possibly make available a working binary of version 1.2 for 64-bit Linux - it would be greatly appreciated.
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I build it every day on 64-bit Linux without any issues.
Perhaps you could show us a sampling of these inconsistent .h file location and type redefinition error messages.Leave a comment:
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Problem building SAMtools 1.2 64-bit under Linux Mint 17
I'm using gcc 4.8.2 and the linux-headers-3.13.0-24-generic package in Mint; I've modified the makefile to satisfy the ncurses and zlib dependencies. When I run make, I get a lot of inconsistencies of .h file locations within the linux-headers tree, also some type redefinition errors.
While continuing to try to resolve thise issues, I can manage with the 0.1.19 version which is the latest available in the Mint repositories. I'd like to know whether anyone has successfully built SAMtools 1.2 for 64-bit Linux and if the binary can be downloaded for installation.
Thanks in advance for any helpfui responses.
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Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
...06-02-2026, 10:05 AM -
With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.
Introduction
Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...05-22-2026, 06:42 AM
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