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Subdivision Reversion 3ds Max Script Download 13
Subdivision Reversion will recreate the subdivision levels of an already subdivided mesh with 100% precision maintaining the UVs. It's wide variety of subdision algoritms help artist get the right look and feel on their models.
Info:TurboReverse is a 3ds Max modifier that has the opposite effect of TurboSmooth. It will recreate the subdivision levels of an already subdivided mesh with 100% precision maintaining the existing UVs.It is the successor of Subdivision Reversion maxscript.
It is now 100 times faster, being a native 3ds Max plugin, not a maxscript anymore.It has the ability to reverse just parts of your models based on your selection.It can reverse multiple iterations at a time.Here are some of the benefits you get:
ATACseqTFEA Assay for Transpose-AccessibleChromatin using sequencing (ATAC-seq) is a technique to assessgenome-wide chromatin accessibility by probing open chromatin withhyperactive mutant Tn5 Transposase that inserts sequencing adaptersinto open regions of the genome. ATACseqTFEA is an improvement ofthe current computational method that detects differential activityof transcription factors (TFs). ATACseqTFEA not only uses thedifference of open region information, but also (or emphasizes) thedifference of TFs footprints (cutting sites or insertion sites).ATACseqTFEA provides an easy, rigorous way to broadly assess TFactivity changes between two conditions.
crisprDesign Provides a comprehensivesuite of functions to design and annotate CRISPR guide RNA (gRNAs)sequences. This includes on- and off-target search, on-targetefficiency scoring, off-target scoring, full gene and TSScontextual annotations, and SNP annotation (human only). Itcurrently support five types of CRISPR modalities (modes ofperturbations): CRISPR knockout, CRISPR activation, CRISPRinhibition, CRISPR base editing, and CRISPR knockdown. All types ofCRISPR nucleases are supported, including DNA- and RNA-targetnucleases such as Cas9, Cas12a, and Cas13d. All types of baseeditors are also supported. gRNA design can be performed onreference genomes, transcriptomes, and custom DNA and RNAsequences. Both unpaired and paired gRNA designs are enabled.
EpiMix EpiMix is a comprehensive tool for theintegrative analysis of high-throughput DNA methylation data andgene expression data. EpiMix enables automated data downloading(from TCGA or GEO), preprocessing, methylation modeling,interactive visualization and functional annotation.To identifyhypo- or hypermethylated CpG sites across physiological orpathological conditions, EpiMix uses a beta mixture modeling toidentify the methylation states of each CpG probe and compares themethylation of the experimental group to the control group.Theoutput from EpiMix is the functional DNA methylation that ispredictive of gene expression. EpiMix incorporates specializedalgorithms to identify functional DNA methylation at variousgenetic elements, including proximal cis-regulatory elements ofprotein-coding genes, distal enhancers, and genes encodingmicroRNAs and lncRNAs.
factR factR contain tools to process andinteract with custom-assembled transcriptomes (GTF). At its core,factR constructs CDS information on custom transcripts andsubsequently predicts its functional output. In addition, factR hastools capable of plotting transcripts, correcting chromosome andgene information and shortlisting new transcripts.
iSEEhub This package defines a custom landingpage for an iSEE app interfacing with the BioconductorExperimentHub. The landing page allows users to browse theExperimentHub, select a data set, download and cache it, and importit directly into a Bioconductor iSEE app.
MetaPhOR MetaPhOR was developed to enableusers to assess metabolic dysregulation using transcriptomic-leveldata (RNA-sequencing and Microarray data) and producepublication-quality figures. A list of differentially expressedgenes (DEGs), which includes fold change and p value, from DESeq2or limma, can be used as input, with sample size for MetaPhOR, andwill produce a data frame of scores for each KEGG pathway. Thesescores represent the magnitude and direction of transcriptionalchange within the pathway, along with estimated p-values.MetaPhORthen uses these scores to visualize metabolic profiles within andbetween samples through a variety of mechanisms, including: bubbleplots, heatmaps, and pathway models.
MSstatsShiny MSstatsShiny is an R-Shinygraphical user interface (GUI) integrated with the R packagesMSstats, MSstatsTMT, and MSstatsPTM. It provides a point and clickend-to-end analysis pipeline applicable to a wide variety ofexperimental designs. These include data-dependedent acquisitions(DDA) which are label-free or tandem mass tag (TMT)-based, as wellas DIA, SRM, and PRM acquisitions and those targetingpost-translational modifications (PTMs). The applicationautomatically saves users selections and builds an R script thatrecreates their analysis, supporting reproducible data analysis.
RgnTX RgnTX allows the integration oftranscriptome annotations so as to model the complex alternativesplicing patterns. It supports the testing of transcriptomeelements without clear isoform association, which is often the realscenario due to technical limitations. It involves functions thatdo permutaion test for evaluating association between features andtranscriptome regions.
SpatialFeatureExperiment Anew S4 class integrating Simple Features with the R package sf tobring geospatial data analysis methods based on vector data tospatial transcriptomics. Also implements management of spatialneighborhood graphs and geometric operations. This pakage buildsupon SpatialExperiment and SingleCellExperiment, hence methods forthese parent classes can still be used.
SpotClean SpotClean is a computationalmethod to adjust for spot swapping in spatial transcriptomics data.Recent spatial transcriptomics experiments utilize slidescontaining thousands of spots with spot-specific barcodes that bindmRNA. Ideally, unique molecular identifiers at a spot measurespot-specific expression, but this is often not the case due tobleed from nearby spots, an artifact we refer to as spot swapping.SpotClean is able to estimate the contamination rate in observeddata and decontaminate the spot swapping effect, thus increase thesensitivity and precision of downstream analyses.
BioPlex The BioPlex package implements accessto the BioPlex protein-protein interaction networks and relatedresources from within R. Besides protein-protein interactionnetworks for HEK293 and HCT116 cells, this includes access to CORUMprotein complex data, and transcriptome and proteome data for thetwo cell lines. Functionality focuses on importing the various dataresources and storing them in dedicated Bioconductor datastructures, as a foundation for integrative downstream analysis ofthe data.
SFEData Example spatial transcriptomicsdatasets with Simple Feature annotations asSpatialFeatureExperiment objects. Technologies include Visium,slide-seq, Nanostring CoxMX, Vizgen MERFISH, and 10X Xenium.Tissues include mouse skeletal muscle, human melanoma metastasis,human lung, breast cancer, and mouse liver.
Improved the download_MTBLS242() function, allowing to eitherdownload the parts of MTBLS242 needed for the tutorial or the wholedataset, which may be nice to have if you want to play beyond thetutorial.
Improve pcoverageByTranscript() implementation. The function now usesa chunking strategy to handle bigger CompressedGRangesList objectsandto reduce memory footprint. Note that even with this improvement, thefunction is still not very efficient. 2ff7e9595c
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