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Software . 2023
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Software . 2023
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Software . 2023
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Software . 2023
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TERSE/PROLIX (TRPX) – a new algorithm for fast and lossless compression and decompression of diffraction and cryo-EM data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 11 Jul 2023Publisher:ZenodoFunded by:EC | NanED
Authors: Senik Matinyan; Jan Pieter Abrahams;
Code repository: https://github.com/Senikm/terse/tree/v1.0.0-beta

doi: 10.5281/zenodo.8134596 , 10.5281/zenodo.8375433

TERSE/PROLIX (TRPX) – a new algorithm for fast and lossless compression and decompression of diffraction and cryo-EM data

Abstract

TERSE/PROLIX is a novel lossless compression algorithm specifically designed for diffraction data. TERSE files are byte-order independent and the algorithm can be readily implemented in hardware. By providing a tailored solution for diffraction data, TERSE facilitates more efficient data analysis and interpretation while mitigating storage and transmission concerns.

Related Organizations
Keywords

TRPX, diffraction, TERSE/PROLIX, lossless, compression

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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