FASTdoop: a versatile and efficient library for the input of FASTA and FASTQ files for MapReduce Hadoop bioinformatics applications
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx010
Abstract: Summary: MapReduce Hadoop bioinformatics applications require the availability of special‐purpose routines to manage the input of sequence files. Unfortunately, the Hadoop framework does not provide any built‐in support for the most popular sequence file formats… read more here.
Keywords: input; mapreduce hadoop; fasta fastq; bioinformatics applications ... See more keywords
Interpretable Ensembles of Classifiers for Uncertain Data with Bioinformatics Applications.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3218588
Abstract: Data uncertainty remains a challenging issue in many applications, but few classification algorithms can effectively cope with it. An ensemble approach for uncertain categorical features has recently been proposed, achieving promising results. It consists in… read more here.
Keywords: interpretable ensembles; classifiers uncertain; bioinformatics applications; data bioinformatics ... See more keywords
From command-line bioinformatics to bioGUI
Sign Up to like & getrecommendations! Published in 2019 at "PeerJ"
DOI: 10.7717/peerj.8111
Abstract: Bioinformatics is a highly interdisciplinary field providing (bioinformatics) applications for scientists from many disciplines. Installing and starting applications on the command-line (CL) is inconvenient and/or inefficient for many scientists. Nonetheless, most methods are implemented with… read more here.
Keywords: line; line bioinformatics; bioinformatics applications; command line ... See more keywords