How does it compare to magicviewer:
http://bioinformatics.zj.cn/magicviewer/
?
Martin
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For human data, it would be essential to support BAM natively. By "natively", I mean to directly load BAM alignment without converting it to other formats. Most human alignments are available in BAM on NCBI ftp. It is awkward and inefficient to convert a compressed file of >100GB. In addition, tablet seems not supporting insertion in SAM/BAM probably because unlike ACE/CAF, the viewer must be able to compute padding by itself.
Except these, tablet looks great!Leave a comment:
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this is very slick and unlike every other short-read viewer I have ever used it worked right out of the boxLeave a comment:
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Tablet - Next Generation Sequence Assembly Visualization
Hi all,
Some of you may be aware of this already, but here at SCRI we've been working on producing a visualization tool for NGS assembly data called Tablet. Our main goal was to create something that's not only fast and provides nice visualizations, but also be both easy to use and easy to install.
Tablet was designed to aid our work here, which is primarily on plant data, but we've had some success loading in some human stuff too (just for fun obviously!).
We've attempted to get working parsers for a wide range of common formats (ace, afg, maq, soap) and we currently have experimental support for sam too (until we can get the Picard API working properly).
Please give it a try, and let us know what you think, either here, or by emailing us directly (there's an option within Tablet itself to do this). It's available in both 32 and 64bit versions, for all the usual suspects (Windows, OS X, Linux, Solaris), and can be downloaded from the following URL:
We also have a paper in advance (open) access with Bioinformatics, which is linked to from the above.
Tablet is still very much work in progress though, so do feel free to suggest any enhancements and improvements you'd like to see.
Iain
(ps: I think these attached pictures are going to be tiny, but the full versions are on the web site)Last edited by imilne; 01-12-2010, 08:36 AM.
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CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...07-31-2026, 11:01 AM -
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...07-20-2026, 11:48 AM
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