Shandong University researchers have developed DeepBIO, the first-of-its-kind automated and interpretable deep-learning platform for high-throughput biological sequence functional analysis. DeepBIO is a one-stop-shop web service that enables...
Read More »RNAlysis – analyze your RNA sequencing data without writing a single line of code
Amongst the major challenges in next-generation sequencing experiments are exploratory data analysis, interpreting trends, identifying potential targets/candidates, and visualizing the results clearly and intuitively. These hurdles are further...
Read More »vAMPirus – a versatile amplicon processing and analysis program for studying viruses
Amplicon sequencing is an effective and increasingly applied method for studying viral communities in the environment. Researchers at Rice University have...
Read More »Correspondence analysis for dimension reduction, batch integration, and visualization of single-cell RNA-seq data
Effective dimension reduction is essential for single cell RNA-seq (scRNAseq) analysis. Principal component analysis (PCA) is widely used, but requires continuous, normally-distributed data; therefore...
Read More »L-RAPiT: Long Read Analysis Pipeline for Transcriptomics
L-RAPiT: Long Read Analysis Pipeline for Transcriptomics is an easy-to-use publicly available pipeline which allows for analysis of long read RNA-sequencing data within a cloud environment; namely, Google Colaboratory. L-RAPiT is available at the following address: https://github.com/Theo-Nelson/long-read-sequencing-pipeline Citation: Nelson, T.M.; ...
Read More »A new sequencing technique achieves high-quality results from small volumes of frozen tumor specimens archived in biobanks
Columbia researchers invent a technique to study cancer tissues archived in biobanks, increasing the number and variety of tumor samples available for scientific analysis and advancing the discovery of...
Read More »scRNAseq_KNIME workflow – a customizable, locally executable, interactive and automated KNIME workflow for single-cell RNA seq
Single-cell RNA sequencing (scRNA-seq) is nowadays widely used to measure gene expression in individual cells, but meaningful biological interpretation of the generated scRNA-seq data remains a...
Read More »Researchers produce first-ever toolkit for RNA sequencing analysis using a ‘pantranscriptome’
Analyzing a person’s gene expression requires mapping their RNA landscape to a standard reference to gain insight into the degree to which...
Read More »INTERSTELLAR – A universal sequencing read interpreter
Massively parallel DNA sequencing has led to the rapid growth of highly multiplexed experiments in biology. These experiments produce unique sequencing results that require specific analysis...
Read More »bulkAnalyseR – an accessible, interactive pipeline for analysing and sharing bulk multi-modal sequencing data
Bulk sequencing experiments (single- and multi-omics) are essential for exploring wide-ranging biological questions. To facilitate interactive, exploratory tasks, coupled with the sharing of easily...
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