Human preimplantation development is a complex process involving dramatic changes in transcriptional architecture. For a better understanding of their time-spatial development, it is indispensable to identify...
Read More »Biocomputational identification and validation of novel microRNAs predicted from whole genome shotgun sequences
MicroRNAs (miRNAs) are small (19-25 base long), non-coding RNAs that regulate post-transcriptional gene expression by cleaving targeted mRNAs in several eukaryotes. The miRNAs play vital roles in multiple biological and metabolic processes, including developmental timing, signal transduction, cell maintenance and ...
Read More »PcircRNA_finder – circRNA prediction in plants
Recent studies reveal an important role of non-coding circular RNA (circRNA) in the control of cellular processes. Because of differences in the organization of plant and mammal genomes, the sensitivity and accuracy of circRNA prediction programs using algorithms developed for ...
Read More »RNA Bioinformatics – New RNA-Seq Protocols from Methods in Molecular Biology
RNA Bioinformatics Edited by Ernesto Picardi ISBN: 978-1-4939-2290-1 (Print) 978-1-4939-2291-8 (Online) Analysis of High-Throughput RNA Sequencing Data Quality Control of RNA-Seq Experiments Xing Li, Asha Nair, Shengqin Wang, Liguo Wang Pages 137-146 Accurate Mapping of RNA-Seq Data Kin Fai Au ...
Read More »SNPlice – identify cis-acting, splice-modulating variants from RNA-seq datasets
The growing recognition of the importance of splicing in eukaryotes, together with rapidly accumulating RNA-sequencing data, demand robust high-throughput approaches, which efficiently analyze experimentally derived whole-transcriptome splice profiles. Researchers from The George Washington University have developed a computational approach, called ...
Read More »Pegasus – a comprehensive annotation and prediction tool for detection of driver gene fusions in cancer
The extraordinary success of imatinib in the treatment of BCR-ABL1 associated cancers underscores the need to identify novel functional gene fusions in cancer. RNA sequencing offers a genome-wide view of expressed transcripts, uncovering biologically functional gene fusions. Although several bioinformatics ...
Read More »spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data
RNA-seq data is currently underutilized, in part because it is difficult to predict the functional impact of alternate transcription events. Recent software improvements in full-length transcript deconvolution prompted researchers from the University of Copenhagen to develop spliceR, an R package ...
Read More »