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Anja Füllgrabe

dblp:175/2085 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-8674-0039ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis
gene expression quantification
0.312017
The RNASeq-er API - a gateway to systematically updated analysis of public RNA-seq data · Bioinform. 2017
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.312017
The RNASeq-er API - a gateway to systematically updated analysis of public RNA-seq data · Bioinform. 2017
Bioinformatics and computational biology › bioinformatics infrastructure
biological data management
0.112017
The RNASeq-er API - a gateway to systematically updated analysis of public RNA-seq data · Bioinform. 2017

Methods — techniques the papers use, named apart from their topics

ontology-based search · 0.3REST web service · 0.3
YearPublicationVenuePosition
2019 Ten quick tips for biocuration
Y. Amy Tang, Klemens Pichler, Anja Füllgrabe, Jane Lomax, James Malone, Monica C. Munoz-Torres, Drashtti Vasant, Eleanor Williams, Melissa A. Haendel
PLoS Comput. Biol.3
2017 The RNASeq-er API - a gateway to systematically updated analysis of public RNA-seq data
abstract
MOTIVATION: The exponential growth of publicly available RNA-sequencing (RNA-Seq) data poses an increasing challenge to researchers wishing to discover, analyse and store such data, particularly those based in institutions with limited computational resources. EMBL-EBI is in an ideal position to address these challenges and to allow the scientific community easy access to not just raw, but also processed RNA-Seq data. We present a Web service to access the results of a systematically and continually updated standardized alignment as well as gene and exon expression quantification of all public bulk (and in the near future also single-cell) RNA-Seq runs in 264 species in European Nucleotide Archive, using Representational State Transfer. RESULTS: The RNASeq-er API (Application Programming Interface) enables ontology-powered search for and retrieval of CRAM, bigwig and bedGraph files, gene and exon expression quantification matrices (Fragments Per Kilobase Of Exon Per Million Fragments Mapped, Transcripts Per Million, raw counts) as well as sample attributes annotated with ontology terms. To date over 270 00 RNA-Seq runs in nearly 10 000 studies (1PB of raw FASTQ data) in 264 species in ENA have been processed and made available via the API. AVAILABILITY AND IMPLEMENTATION: The RNASeq-er API can be accessed at http://www.ebi.ac.uk/fg/rnaseq/api . The commands used to analyse the data are available in supplementary materials and at https://github.com/nunofonseca/irap/wiki/iRAP-single-library . CONTACT: [email protected] ; [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Robert Petryszak, Nuno A. Fonseca, Anja Füllgrabe, Laura Huerta, Maria Keays, Y. Amy Tang, Alvis Brazma
Bioinform.3