You are here

Home

Virus

miRCarta

Submitted by ChenLiang on Tue, 01/09/2018 - 18:46

The continuous increase of available biological data as consequence of modern high-throughput technologies poses new challenges for analysis techniques and database applications. Especially for miRNAs, one class of small non-coding RNAs, many algorithms have been developed to predict new candidates from next-generation sequencing data. While the amount of publications describing novel miRNA candidates keeps steadily increasing, the current gold standard database for miRNAs - miRBase - has not been updated since June 2014.

Rating: 
Average: 5 (1 vote)

PHMMTSs

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

The computational identification of non-coding RNA regions on the genome is currently receiving much attention. However, it is essentially harder than gene-finding problems for protein-coding regions because non-coding RNA sequences do not have strong statistical signals. Since comparative sequence analysis is effective for non-coding RNA detection, efficient computational methods are expected for structural alignment of RNA sequences.

Rating: 
Average: 5 (1 vote)

ShrinkBayes

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Complex designs are common in (observational) clinical studies. Sequencing data for such studies are produced more and more often, implying challenges for the analysis, such as excess of zeros, presence of random effects and multi-parameter inference. Moreover, when sample sizes are small, inference is likely to be too liberal when, in a Bayesian setting, applying a non-appropriate prior or to lack power when not carefully borrowing information across features.

Rating: 
Average: 5 (1 vote)

miTRATA

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

We describe miTRATA, the first web-based tool for microRNA Truncation and Tailing Analysis--the analysis of 3' modifications of microRNAs including the loss or gain of nucleotides relative to the canonical sequence. miTRATA is implemented in Python (version 3) and employs parallel processing modules to enhance its scalability when analyzing multiple small RNA (sRNA) sequencing datasets. It utilizes miRBase, currently version 21, as a source of known microRNAs for analysis. miTRATA notifies user(s) via email to download as well as visualize the results online.

Rating: 
Average: 4.5 (2 votes)

miRandb

Submitted by ChenLiang on Mon, 01/09/2017 - 11:45

Recent discovery of thousands of small and large noncoding RNAs, in parallel to technical improvements enabling scientists to study the transcriptome in much higher depth, has resulted in massive data generation. This burst of information prompts the development of easily accessible resources for storage, retrieval and analysis of raw and processed data, and hundreds of Web-based tools dedicated to these tasks have been made available.

Rating: 
5
Average: 5 (2 votes)

CePa

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

CePa is an R package aiming to find significant pathways through network topology information. The package has several advantages compared with current pathway enrichment tools. First, pathway node instead of single gene is taken as the basic unit when analysing networks to meet the fact that genes must be constructed into complexes to hold normal functions. Second, multiple network centralities are applied simultaneously to measure importance of nodes from different aspects to make a full view on the biological system.

Rating: 
Average: 5 (1 vote)

TROD

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

We have developed T7 RNAi Oligo Designer (TROD), a web application for RNA interference studies. TROD greatly facilitates the design of oligodeoxynucleotide sequences for the in vitro production of siRNA duplexes with T7 RNA polymerase. Given a query cDNA sequence, the program scans for appropriate target sequences based on the constraints of the T7 RNA polymerase method and published criteria for RNA interference with siRNAs.

Rating: 
Average: 5 (1 vote)

iScreen

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

High-throughput RNA interference (RNAi) screening has opened up a path to investigating functional genomics in a genome-wide pattern. However, such studies are often restricted to assays that have a single readout format. Recently, advanced image technologies have been coupled with high-throughput RNAi screening to develop high-content screening, in which one or more cell image(s), instead of a single readout, were generated from each well.

Rating: 
Average: 5 (1 vote)

NoiseMaker

Submitted by ChenLiang on Thu, 04/06/2017 - 18:47

High-throughput screening (HTS) is a common technique for both drug discovery and basic research, but researchers often struggle with how best to derive hits from HTS data. While a wide range of hit identification techniques exist, little information is available about their sensitivity and specificity, especially in comparison to each other. To address this, we have developed the open-source NoiseMaker software tool for generation of realistically noisy virtual screens.

Rating: 
Average: 5 (1 vote)

Pages

Subscribe to Virus