#GIT ANNEX READ ONLY SOFTWARE#
It can also be used to develop documents with LaTeX (via a TeXlipse plug-in) and packages for the software Mathematica. Eclipse is written mostly in Java and its primary use is for developing Java applications, but it may also be used to develop applications in other programming languages via plug-ins, including: Ada, ABAP, C, C++, COBOL, D, Fortran, Haskell, JavaScript, Julia, Lasso, Lua, NATURAL, Perl, PHP, Prolog, Python, R, Ruby (including Ruby on Rails framework), Rust, Scala, Clojure, Groovy, Scheme, and Erlang. It contains a base workspace and an extensible plug-in system for customizing the environment. Homepage: URL: Keyword:bioĭescription: Eclipse is an integrated development environment (IDE) used in computer programming, and is the most widely used Java IDE. Output is delivered in standard BAM, MEX, CSV, HDF5 and HTML formats that are augmented with cellular information. These pipelines combine Chromium-specific algorithms with the widely used RNA-seq aligner STAR. cellranger reanalyze takes gene-barcode matrices produced by cellranger count or cellranger aggr and reruns the dimensionality reduction, clustering, and gene expression algorithms using tunable parameter settings. cellranger aggr aggregates outputs from multiple runs of cellranger count, normalizing those runs to the same sequencing depth and then recomputing the gene-barcode matrices and analysis on the combined data. cellranger count takes FASTQ files from cellranger mkfastq and performs alignment, filtering, and UMI counting. Cell Ranger includes four main gene expression pipelines: - cellranger mkfastq wraps Illumina's bcl2fastq to correctly demultiplex Chromium-prepared sequencing samples and to convert barcode and read data to FASTQ files. Cell Ranger 1.2 and later support libraries generated by the Chromium Single Cell 3i-v1 and v2 reagent kits, whereas Cell Ranger 1.1 and earlier do not support v2 libraries. Description: Cell Ranger is a set of analysis pipelines that process Chromium single cell 3-RNA-seq output to align reads, generate gene-cell matrices and perform clustering and gene expression analysis.
0 kommentar(er)
