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Bioinformatic Analysis of MicroRNA Sequencing Data

2018
The vital role of microRNAs (miRNAs) involved in gene expression regulation has been confirmed in many biological processes. With the growing power and reducing cost of next-generation sequencing, more and more researchers turn to apply this high-throughput method to solve their biological problems.
Xiaonan, Fu, Daoyuan, Dong
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Bioinformatics Analysis of miRNA Sequencing Data

2022
The bioinformatics analysis of miRNA is a complicated task with multiple operations and steps involved from processing of raw sequence data to finally identifying accurate microRNAs associated with the phenotypes of interest. A complete analysis process demands a high level of technical expertise in programming, statistics, and data management.
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Bioinformatics for Analysis of Poxvirus Genomes

2012
In recent years, there have been numerous unprecedented technological advances in the field of molecular biology; these include DNA sequencing, mass spectrometry of proteins, and microarray analysis of mRNA transcripts. Perhaps, however, it is the area of genomics, which has now generated the complete genome sequences of more than 100 poxviruses, that ...
Melissa, Da Silva, Chris, Upton
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Datalog Extensions for Bioinformatic Data Analysis

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
Recent growth in public bioinformatic databases has facilitated the analysis of genomic and proteomic data. However, the large size of the datasets makes it hard for nonexpert programmers to perform the analysis. In this paper we present B-Log, a high-level query language for bioinformatic data analysis. Based on Datalog, B-Log can simply express graph
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Bioinformatics and Genome Analysis

2002
1 Dissecting the Genetic Component of Complex Diseases in Humans.- 2 Bioinformatics of Membrane Proteins.- 3 SNAPping Up Functionally Related Genes Based on Context Information: A Colinearity-Free Approach.- 4 Promoter Analysis.- 5 Cluster Analysis and Its Applications to Gene Expression Data.- 6 Statistical Methods for Analyzing Gene Expression Data ...
openaire   +1 more source

A guide to machine learning for biologists

Nature Reviews Molecular Cell Biology, 2021
Joe G Greener   +2 more
exaly  

Expasy, the Swiss Bioinformatics Resource Portal, as designed by its users

Nucleic Acids Research, 2021
Severine Duvaud   +2 more
exaly  

Nanopore sequencing technology, bioinformatics and applications

Nature Biotechnology, 2021
Yunhao Wang, Kin Fai Au
exaly  

The nf-core framework for community-curated bioinformatics pipelines

Nature Biotechnology, 2020
Philip A Ewels   +2 more
exaly  

Piercing the dark matter: bioinformatics of long-range sequencing and mapping

Nature Reviews Genetics, 2018
Fritz J Sedlazeck   +2 more
exaly  

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