Bioinformatics and data processing
An RNA-Seq bioinformatics pipeline for data processing of Arabidopsis thaliana datasets
... Results of PPI network analysis shows most of the DEGs during the transition phase regulate 532. other DEGs which provide induced resistance and protection against ex[r] ...
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Bioinformatics for RNA‐Seq Data Analysis
... counts, data normalization is one of the most crucial steps of data processing, and this process must be carefully considered, as it is essential to ensure accurate inference of gene expression and ...
27
INVESTIGATING A DATA MANAGEMENT ENVIRONMENT FOR STRUCTURAL BIOINFORMATICS RESEARCH DATA
... the data processing and analysis under the principal investigators, the members of the university Research Computing division that provides and maintains computational resources, server access, ...
57
Enabling the processing of bioinformatics workflows where data is located through the use of cloud and container technologies
... The Nikeza system greatly simplifies the creation and dependency management of the virtual environment for the researcher. By providing the researcher with an intu- itive and simple to follow interface for uploading ...
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PhosFox: a bioinformatics tool for peptide-level processing of LC-MS/MS-based phosphoproteomic data
... MS data was acquired with Analyst QS ...LC-MS/MS data were submit- ted through the ProteinPilot ...The data were searched against the human canonical sequences in the Swiss-Prot database (version ...
10
Data Intensive Computing for Bioinformatics
... As shown in 0, the performance of parallel GTM is very sensitive on the choice of decomposition of responsible matrix 𝑅 and, especially, the size of 𝑛 affects greatly the performance. This is because the large 𝑛 value ...
34
APPLICATION OF DATA MINING IN BIOINFORMATICS
... Computational technologies are used to accelerate or fully automate the processing, quantification and analysis of large amounts of high-information-content biomedical images. Modern image analysis systems augment ...
5
A review of data mining in bioinformatics
... DA, Data mining and ...time processing, as well as enhanced product ...large data sets for purposes of customer ...in data industries are held safely in the collec- tion of diverse data ...
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Integration and visualisation of data in bioinformatics
... of bioinformatics data: (i) Data providers will keep using Internet based technologies to share their data, RESTful services will continue to be adopted, their simplicity based in delegation ...
180
Data Source Data Size Bioinformatics Topics
... of data is being generated by genome sequencing projects and other experimental efforts to verify and establish the structure and function of biological ...these data are expanding more than ever. ...
12
Agent Interaction for Bioinformatics Data Management
... sequence data, fast and reliable sequence analysis methods are ...genomic data is how to integrate the software and primary databases in a flexible and robust ...and processing requirements, ...
25
Motif Discovery and Data Mining in Bioinformatics
... In Bioinformatics, motif discovery is becoming very important because they represent conserved sequences which can be biologically ...mRNA processing and transcription termination, growing usefulness in ...
14
DATA MINING BASED ANALYSIS PROCESSES IN BIOINFORMATICS
... information. Bioinformatics studies currently require processing of huge amounts of data with heavy ...efficiency. Bioinformatics text mining and data mining are developing as ...
7
Using Pig on Hadoop for Data Analysis in Bioinformatics
... sequence processing tasks, similarity matching, and alignments are the types of jobs, which will be efficiently handled by ...small data set, big runs can be applied to large files (in GBs/TBs) on large ...
6
BIOINFORMATICS ANALYSIS OF SNPS IN MICRO-RNA AND ITS PROCESSING MACHINERY GENES
... 6.2.2.3. Structural analysis The functional role of nsSNPs was further analyzed from protein structure. 6.2.2.3.1. Homology modelling The sequences of all 38 microRNA biogenesis related proteins were retrieved from the ...
42
BASIS: High-performance bioinformatics platform for processing of large-scale mass spectrometry imaging data in chemically augmented histology
... inter-sample data normalisation to account for variations in overall spectral intensity that may be seen as a consequence of factors (such as inhomogeneous matrix deposition), variable tissue section thickness, ...
11
Automating Experiments Using Semantic Data on a Bioinformatics Grid
... Initially, the scientist must choose credi- ble methods to accomplish each task. The registry provides a classification of services. Browsing this classification would reveal that several classes of sequence similarity ...
8
Bioinformatics methods for annotating genomes using proteomic data
... Careful attention needs to be paid when comparing the datasets obtained by querying different sequence databases. The uniqueness of peptide identified may be due to statistical algorithms and not to efficient database ...
215
Data Mining in Bioinformatics Day 8: Clustering in Bioinformatics Clustering Gene Expression Data
... Hierarchical clustering of gene expression data groups together genes that are known to have similar functions Gene expression clusters reflect biological processes Coexpression data can[r] ...
50
Hadoop. Bioinformatics Big Data
... ○ tries to collocate the data with the compute node ○ data access is fast since it is local. ■ known as data locality[r] ...
36