SL10

SL26

SL32

Each of the files 'SL9', 'SL10', 'SL26' and 'SL32'
  represents a subset of the data from an Illumina sequencing
  experiment. These data consist of alignment information; the tag
  sequence, and the number of times that each sequence is observed.


datasets

High-throughput sequencing technologies allow the production of large volumes of short sequences, which can be aligned to the genome to create a set of matches to the genome. By looking for regions of the genome which to which there are high densities of matches, we can infer a segmentation of the genome into regions of biological significance. The methods in this package allow the simultaneous segmentation of data from multiple samples, taking into account replicate data, in order to create a consensus segmentation. This has obvious applications in a number of classes of sequencing experiments, particularly in the discovery of small RNA loci and novel mRNA transcriptome discovery.

Thomas J Hardcastle

segmentSeq

Methods for identifying small RNA loci from high-throughput
sequencing data

SL function

A set of tab-delimited files containing data from four
  sequencing experiments.

Format

Source

Each of the files 'SL9', 'SL10', 'SL26' and 'SL32'
  represents a subset of the data from an Illumina sequencing
  experiment. These data consist of alignment information; the tag
  sequence, and the number of times that each sequence is observed.

SL: Example data selected from a set of Illumina sequencing experiments.

Description

Usage

Arguments

Format

Source