Search Results for "genes"

This is a collection of scripts and instructions on how to analyzing amplicon sequence data (i.e., 16S, ITS2, & other marker genes). I created this workflow to create a consistent set of methods for analyzing amplicon sequence data, from when you first receive the sequence data to statistical analyses & data visualization. All you need is to have the latest version of R installed, some experience with the command line & shell, and enough memory to run all of the programs. There are also...

... expression to give a complete picture of the “allelome” by automatically categorising the allelic expression of all genes in a given cell type into imprinted, strain-biased biallelic or noninformative. Allelome.PRO offers increased sensitivity to analyse lowly expressed transcripts, together with a robust false discovery rate empirically calculated from variation in the sequencing data.

BSpipe is a comprehensive pipeline from sequence quality control and mapping to functional analysis of differentially methylated regions: (1) sequencing quality assessment, (2) sequence cleaning, (3) sequence read mapping, (4) methylation quantification, (4) sample comparisons based on methylation profile, (5) identification of DMRs (differentially methylated regions), (6) annotation of DMRs, (7) functional analysis of differentially methylated genes, (8) generation of input files...

OrthoRBH is a tool/pipeline designed to identify families of protein coding transcripts/genes in related species using a reciprocal blast method. It can search through databases of full-length cDNAs, ESTs or mRNA-seq data. Optional assembly of candidate sequences allows assembly of contigs. It is suited to handling a mixture of EST and mRNA-seq sequence data. It performs batch blast searches, so it is ideal for large multi-gene families. After collecting candidate sequences, it performs...

What does it do? DHC-MEGE is a program designed for the identification of functional long-range cis elements such as enhancers from gene expression data. How does it work? DHC-MEGE takes a list of up- and down-regulated genes and extracts regions from a chromatin connectivity map which are predicted to physically associate with those genes. It then searches for over-represented sequence motifs and then reports instances of those motifs throughout the genome. What is the input? You need a list...

Most of the gene regulation pathways data from experiments are drawn from humans or from species commonly used as experimental animal models. Accordingly, the software packages to analyse these data on the basis of specific gene identification codes (IDs) or accession numbers (AN) are not easy to apply to other organisms that are less characterized at the genomic level. Here, we have developed the Gene2Path programme which automatically searches pathway databases to analyse microarray data...