We are a computational biology lab that develops novel methods for analysis of DNA and RNA sequences. Our research includes software for aligning and assembling RNA-seq data, whole-genome assembly, and microbiome analysis. We work closely with...
lin-group.cn - iRNAD, for identifying D modification sites in RNA sequence. In this predictor, the RNA samples derived from five species were encoded by nucleotide chemical property and nucleotide density. Support vector machine was utilized to perform the...
huanglab.phys.hust.edu.cn - The HNADOCK server is to predict the binding complex structure between two nucleic acid molecules through a hierarchical docking algorihtm of an FFT-based global search strategy and an intrinsic scoring function for nucleic acid interactions. Users...
The method used to isolate, enrich and sequence a sample will affect the composition of the sequencing data in terms of the types of RNA species represented and their relative abundances
chagall.med.cornell.edu - RNAseq can be roughly divided into two "types":
Reference genome-based - an assembled genome exists for a species for which an RNAseq experiment is performed. It allows reads to be aligned against the reference genome and significantly improves...
pachterlab.github.io - With kallisto | bustools you can
Generate a cell x gene or cell x transcript equivalence class count matrix
Perform RNA velocity and single-nuclei RNA-seq analsis
Quantify data from numerous technologies such as...
www.genengnews.com - "By removing the time-consuming step of read mapping, the authors reported, Sailfish able to provide quantification estimates 20–30 times faster than current methods without loss of accuracy."
Tool...
rosalind.info - Rosalind is a platform for learning bioinformatics and programming through problem solving. Take a tour to get the hang of how Rosalind works.
http://rosalind.info/problems/list-view/
