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Number of citations per year for the bioinformatics software tool DeMix
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DeMix specifications

Information


Unique identifier OMICS_09071
Name DeMix
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS
Programming languages R
Computer skills Advanced
Version 0.1
Stability Stable
Maintained No

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Publication for DeMix

DeMix citations

 (14)
library_books

Optical characterization of surface adlayers and their compositional demixing at the nanoscale

2018
Nat Commun
PMCID: 5897338
PMID: 29650981
DOI: 10.1038/s41467-018-03820-w

[…] g this unique spectral information to the next level, we examined adlayers from a solvent mixture, and revealed that for the miscible TCE-chloroform system, in adlayers the two solvents spontaneously demix into nanodroplets of varying compositions. Notably, the composition correlated strongly with droplet size and location, thus pointing to rich interactions between different factors in determinin […]

library_books

Lignocellulose Liquefaction to Biocrude: A Tutorial Review

2018
PMCID: 5900959
PMID: 29364569
DOI: 10.1002/cssc.201702362

[…] recovery of the solvent from the biocrude. Solvents that show a large Hansen distance from cellulose, being either very polar (such as water) or very apolar (such as alkanes), appear to spontaneously demix from the biocrude at room temperature. They thereby allow a cheap and easy recovery of the solvent, which has formed the basis of a novel biocrude fractionation approach that will be discussed l […]

library_books

Swelling Inhibition of Liquid Crystalline Colloidal Montmorillonite and Beidellite Clays by DNA

2018
Sci Rep
PMCID: 5847546
PMID: 29531235
DOI: 10.1038/s41598-018-22386-7

[…] e bottom phase is almost independent of the overall clay concentration. This feature is particularly marked for the (beid, long DNA) system (Fig. ). This means that most points in the biphasic region demix into a nematic phase of constant clay concentration. In other words, the nematic branch of the binodal line in the phase diagram must be almost vertical. Due to sample gelation at high clay and/ […]

library_books

FISSA: A neuropil decontamination toolbox for calcium imaging signals

2018
Sci Rep
PMCID: 5823956
PMID: 29472547
DOI: 10.1038/s41598-018-21640-2

[…] a mixture of signals originating from this ROI as well as from a surrounding volume (Fig. ). This volume includes mostly neurites (axons and dendrites) of other cells, and sometimes other somata. To demix these signals, we use the fact that the signals (photon counts) are always positive, and assume that the mixing of the different signals is linear and additive. A method of choice for demixing s […]

library_books

Phosphorylation of the FUS low‐complexity domain disrupts phase separation, aggregation, and toxicity

2017
PMCID: 5641905
PMID: 28790177
DOI: 10.15252/embj.201696394

[…] Bassell, ; Thomas et al, ). Recent reports suggest these granules are membraneless organelles, partially or wholly stabilized by liquid–liquid phase separation (LLPS) where molecules self segregate (demix) to form two co‐existing liquids as observed for oil droplets in water (Courchaine et al, ). However, unlike oil–water emulsions, RNP granules formed by LLPS are not devoid of water and are thou […]

library_books

Multi scale approaches for high speed imaging and analysis of large neural populations

2017
PLoS Comput Biol
PMCID: 5557609
PMID: 28771570
DOI: 10.1371/journal.pcbi.1005685

[…] erated by these large-scale imaging methods. A crucial step for further neural analysis involves a transition from voxel-space to neuron-source space: i.e., we must detect the neurons and extract and demix each neuron’s temporal activity from the video. Simple methods such as averaging voxels over distinct regions of interest (ROIs) are fast, but more statistically-principled methods based on cons […]


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DeMix institution(s)
Department of Bioinformatics and Computational Biology; Department of Biostatistics, The University of Texas, MD Anderson Cancer Center, Houston, TX; Department of Biostatistics and Computational Biology, Dana Farber Cancer Institute, Boston MA; Department of Translational Molecular Pathology, Thoracic/Head and Neck Medical Oncology, The University of Texas, MD Anderson Cancer Center, Houston TX, USA

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