Scalability and Validation of Big Data Bioinformatics Software

Software validation is the process of determining whether the program under test fulfils the task for which it was designed. Determining the correctness of the ...

This review examines two important aspects that are central to modern big data bioinformatics analysis - software scalability and validity.

Scalability and Validation of Big Data Bioinformatics Software

We argue that not only are the issues of scalability and validation common to all big data bioinformatics analyses, they can be tackled by conceptually related ...

Scalability and Validation of Big Data Bioinformatics Software

Semantic Scholar extracted view of "Scalability and Validation of Big Data Bioinformatics Software" by A. Yang et al.

Scalability and Validation of Big Data Bioinformatics Software

Scalability and Validation of Big Data Bioinformatics Software. 2Q1. Q2. Andrian Yang a,b, Michael Troup a, Joshua W.K. Ho a,b,⁎. 3 a Victor Chang Cardiac ...

Scalability and Validation of Big Data Bioinformatics Software | PDF ...

Computational and Structural Biotechnology Journal 15 (2017) 379–386 · Contents lists available at ScienceDirect · journal homepage: www.elsevier.com/locate/csbj ...

Verification and validation of bioinformatics software without a gold ...

False positives and false negatives are both potentially a huge issue. Although false positives can easily be distinguished from true positives through external ...

Scalable and Effective Solutions for Bioinformatics

Scalability has long been a challenge for big data analysis and serves as one of the main pain points for bioinformatics.

Scalability and Validation of Big Data Bioinformatics Software - Scribd

Bioinformatics Software Development: Process, Use Cases, Insights ...

Scalability allows you to process diverse biological data without compromising speed or performance. By implementing scalable solutions in ...

Performance and scaling behavior of bioinformatic applications in ...

The scaling measurements showed, that some of the analyzed tools do not benefit from using larger amounts of computing resources, whereas others ...

scalable processing of big data from proteomics using cloud ...

The data processing was distributed across multiple nodes in a supercomputer to achieve scalability for large datasets. Our study demonstrated ...

The Performance of Open Source Software Working with Big Data in ...

Khmer is our suite of software tools for pre-processing large amounts of genomic sequence data prior to analysis with conventional bioinformatics tools[2]–no ...

Big Data in Bioinformatics

The role of big data in bioinformatics is to provide repositories of data, better computing facilities, and data manipulation tools to analyze data.

Limitations in Bioinformatics: A Critical Analysis - Omics tutorials

Algorithms must be scalable, robust, and capable of handling noise and variability in the data. Validation and Benchmarking: Validating new ...

A Containerization Framework for Bioinformatics Software to ...

We argue that not only are the issues of scalability and validation common to all big data bioinformatics analyses, they can be tackled by conceptually related ...

Reproducible, scalable, and shareable analysis pipelines with ...

Scalability and validation of big data bioinformatics software. Comput. Struct. Biotechnol. J. 15, 379–386 (2017). 36. Krissaane, I. et al. Scalability and ...

PyGMQL: scalable data extraction and analysis for heterogeneous ...

The ADAM software framework [18] is another important effort towards the deployment of common bioinformatics tools on big data management ...

Computational Strategies for Scalable Genomics Analysis - MDPI

We use scalability in combination with efficiency to measure how well a bioinformatic tool effectively uses increasing numbers of parallel processing elements ( ...

Scalable machine‐learning algorithms for big data analytics: a ...

Big data is thus broad spectrum comprising evolving techniques and tools in order to handle data-intensive jobs. Traditional algorithms need to ...