Related references
Note: Only part of the references are listed.CtIP promotes microhomology-mediated alternative end joining during class-switch recombination
Mieun Lee-Theilen et al.
NATURE STRUCTURAL & MOLECULAR BIOLOGY (2011)
Whole Transcriptome Sequencing Reveals Gene Expression and Splicing Differences in Brain Regions Affected by Alzheimer's Disease
Natalie A. Twine et al.
PLOS ONE (2011)
Alternative expression analysis by RNA sequencing
Malachi Griffith et al.
NATURE METHODS (2010)
MapSplice: Accurate mapping of RNA-seq reads for splice junction discovery
Kai Wang et al.
NUCLEIC ACIDS RESEARCH (2010)
HMMSplicer: A Tool for Efficient and Sensitive Discovery of Known and Novel Splice Junctions in RNA-Seq Data
Michelle T. Dimon et al.
PLOS ONE (2010)
TopHat: discovering splice junctions with RNA-Seq
Cole Trapnell et al.
BIOINFORMATICS (2009)
Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads
Kai Ye et al.
BIOINFORMATICS (2009)
The Sequence Alignment/Map format and SAMtools
Heng Li et al.
BIOINFORMATICS (2009)
Fast and accurate short read alignment with Burrows-Wheeler transform
Heng Li et al.
BIOINFORMATICS (2009)
Relative power and sample size analysis on gene expression profiling data
M. van Iterson et al.
BMC GENOMICS (2009)
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
Ben Langmead et al.
GENOME BIOLOGY (2009)
Alternative isoform regulation in human tissue transcriptomes
Eric T. Wang et al.
NATURE (2008)
Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing
Qun Pan et al.
NATURE GENETICS (2008)
Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms
Peter A. C. 't Hoen et al.
NUCLEIC ACIDS RESEARCH (2008)
Splicing in disease: disruption of the splicing code and the decoding machinery
Guey-Shin Wang et al.
NATURE REVIEWS GENETICS (2007)
An efficient, versatile and scalable pattern growth approach to mine frequent patterns in unaligned protein sequences
Kai Ye et al.
BIOINFORMATICS (2007)
Mining sequential patterns by pattern-growth: The PrefixSpan approach
J Pei et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2004)
SSAHA: A fast search method for large DNA databases
ZM Ning et al.
GENOME RESEARCH (2001)