Search Results for "source count"

Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction.

The only open source counter to count any items the simplest and easiest way with the keyboard, or the mouse specifically on images. After associating a key to each item, or a predefined graphical symbol for images, pressing the key or clicking on the image increments its associated counter, and displays (for the images) the symbol at the mouse's pointer location.

To facilitate the comparison of gene essentialities in two or more cell samples, we propose MoPAC (Modular Pipeline for Analysis of CRISPR screens), a Shiny-driven interactive tool for differential essentiality analysis in CRISPR/Cas9 screens. For installation and usage instructions please refer to the wiki page.

please cite: An J, Lai J, Sajjanhar A, Lehman ML, Nelson CC: miRPlant: an integrated tool for identification of plant miRNA from RNA sequencing data. BMC bioinformatics 2014, 15(1):275. We will create index for you if you tell us your interested plants (j.an@qut.edu.au).

A tool for extracting and preprocessing spectral count data for label-free quantitative proteomic analysis. This program is designed to be used with the Trans-Proteomic Pipeline (TPP).

Tuque includes 4 programs: tuqueIndex to prepare Bowtie indexes that include spliced sequences tuqueMap to map reads using the prepared indices tuqueSplice to find splice junctions from the reads tuqueCount to count the reads mapping within annotated sequence intervals

Altrans is a method for the relative quantification of splicing events. It requires a BAM alignment file from an RNA-seq experiment and an annotation file in GTF format detailing the location of the exons in the genome. It uses paired end reads where one mate maps to one exon and the other mate to a different exon and/or split reads spanning exon exon junctions to count “links” between two exons. When there are overlapping exons, these are grouped into “exon groups” and unique portions of...

Count and analyze Single Nucleotide Polymorphisms (SNP) from sequence data.