Showing 7 of total 7 results (show query)
bioc
ffpe:Quality assessment and control for FFPE microarray expression data
Identify low-quality data using metrics developed for expression data derived from Formalin-Fixed, Paraffin-Embedded (FFPE) data. Also a function for making Concordance at the Top plots (CAT-plots).
Maintained by Levi Waldron. Last updated 5 months ago.
microarraygeneexpressionqualitycontrol
61.8 match 3.03 score 27 scripts
liuy12
SCdeconR:Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq Data as Reference
Streamlined workflow from deconvolution of bulk RNA-seq data to downstream differential expression and gene-set enrichment analysis. Provide various visualization functions.
Maintained by Yuanhang Liu. Last updated 10 months ago.
bulk-rna-seq-deconvolutiondeconvolutiondifferential-expressionffpegeneset-enrichment-analysisscdeconrsingle-cell
14.4 match 3 stars 3.78 score 4 scriptsbioc
SimFFPE:NGS Read Simulator for FFPE Tissue
The NGS (Next-Generation Sequencing) reads from FFPE (Formalin-Fixed Paraffin-Embedded) samples contain numerous artifact chimeric reads (ACRS), which can lead to false positive structural variant calls. These ACRs are derived from the combination of two single-stranded DNA (ss-DNA) fragments with short reverse complementary regions (SRCRs). This package simulates these artifact chimeric reads as well as normal reads for FFPE samples on the whole genome / several chromosomes / large regions.
Maintained by Lanying Wei. Last updated 5 months ago.
sequencingalignmentmultiplecomparisonsequencematchingdataimport
10.5 match 3.30 score 1 scriptsbioc
FilterFFPE:FFPE Artificial Chimeric Read Filter for NGS data
This package finds and filters artificial chimeric reads specifically generated in next-generation sequencing (NGS) process of formalin-fixed paraffin-embedded (FFPE) tissues. These artificial chimeric reads can lead to a large number of false positive structural variation (SV) calls. The required input is an indexed BAM file of a FFPE sample.
Maintained by Lanying Wei. Last updated 5 months ago.
structuralvariationsequencingalignmentqualitycontrolpreprocessing
8.7 match 3.30 score 1 scripts
mano-b
MicroSEC:Sequence Error Filter for Formalin-Fixed and Paraffin-Embedded Samples
Clinical sequencing of tumor is usually performed on formalin-fixed and paraffin-embedded samples and have many sequencing errors. We found that the majority of these errors are detected in chimeric read caused by single-strand DNA with micro-homology. Our filtering pipeline focuses on the uneven distribution of the artifacts in each read and removes such errors in formalin-fixed and paraffin-embedded samples without over-eliminating the true mutations detected in fresh frozen samples.
Maintained by Masachika Ikegami. Last updated 3 months ago.
2.9 match 7 stars 5.66 score 8 scriptsbioc
recountmethylation:Access and analyze public DNA methylation array data compilations
Resources for cross-study analyses of public DNAm array data from NCBI GEO repo, produced using Illumina's Infinium HumanMethylation450K (HM450K) and MethylationEPIC (EPIC) platforms. Provided functions enable download, summary, and filtering of large compilation files. Vignettes detail background about file formats, example analyses, and more. Note the disclaimer on package load and consult the main manuscripts for further info.
Maintained by Sean K Maden. Last updated 5 months ago.
dnamethylationepigeneticsmicroarraymethylationarrayexperimenthub
1.1 match 9 stars 6.28 score 9 scripts
cran
RCRnorm:An Integrated Regression Model for Normalizing 'NanoString nCounter' Data
'NanoString nCounter' is a medium-throughput platform that measures gene or microRNA expression levels. Here is a publication that introduces this platform: Malkov (2009) <doi:10.1186/1756-0500-2-80>. Here is the webpage of 'NanoString nCounter' where you can find detailed information about this platform <https://www.nanostring.com/scientific-content/technology-overview/ncounter-technology>. It has great clinical application, such as diagnosis and prognosis of cancer. Implements integrated system of random-coefficient hierarchical regression model to normalize data from 'NanoString nCounter' platform so that noise from various sources can be removed.
Maintained by Gaoxiang Jia. Last updated 7 years ago.
3.4 match 2 stars 1.30 score 2 scripts