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A quality control analysis tool for high throughput sequencing data
...This should then direct you to where your data may have problems and allow you to take necessary steps to correct it before doing any further analysis.
FastQC is not tied to any specific type of sequencing technique, so it can be used to look at libraries of various experiment types (Genomic Sequencing, ChIP-Seq, RNA-Seq, BS-Seq etc etc).
QUASI is a toolkit to rapidly assess the quality of shRNA-Seq based data and call differential abundance using common statistical inference methods (DESeq, edgeR, baySeq).
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included.
Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional currently.
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The Java class library, that contains classes for calculation of different mathematical relations between object and number sequences and sets: Kendall distance, Spearman distance, similarity measure, L1 distance and others.