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Erik L. L. Sonnhammer

Erik L. L. Sonnhammer

D-Index & Metrics

Genetics

D-Index
72
Citations
86990
World Ranking
2074
National Ranking
23

Overview

Erik L. L. Sonnhammer is affiliated with Stockholm University in Sweden and has a substantial body of work within the field of Biochemistry, Genetics and Molecular Biology. Their research primarily focuses on Molecular Biology, complemented by contributions in Computational Theory and Mathematics, Spectroscopy, Cancer Research, and Pulmonary and Respiratory Medicine.

The scientist's work spans several main topics, including Bioinformatics and Genomic Networks, Gene Regulatory Network Analysis, Gene expression and cancer classification, Genomics and Phylogenetic Studies, Machine Learning in Bioinformatics, Computational Drug Discovery Methods, and Advanced Proteomics Techniques and Applications.

Recent publications by Sonnhammer cover important developments in protein families databases and orthology benchmarking. These include:

  • Pfam: The protein families database in 2021, 2020, published in Nucleic Acids Research
  • The Pfam protein families database: embracing AI/ML, 2024, published in Nucleic Acids Research
  • The Quest for Orthologs orthology benchmark service in 2022, 2022, published in Nucleic Acids Research
  • The Quest for Orthologs benchmark service and consensus calls in 2020, 2020, published in Nucleic Acids Research
  • Ten Years of Collaborative Progress in the Quest for Orthologs, 2021, published in Molecular Biology and Evolution

Sonnhammer frequently collaborates with several co-authors, including:

  • Dimitri Guala
  • Emma Persson
  • Miguel Castresana-Aguirre
  • Davide Buzzao
  • Paul D. Thomas

The scientist's publications appear in multiple academic journals, with frequent contributions to:

  • Bioinformatics
  • Nucleic Acids Research
  • Frontiers in Genetics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports

Best Publications

  • The Pfam protein families database

    Marco Punta;Penny C. Coggill;Ruth Y. Eberhardt;Jaina Mistry

  • Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes

    A Krogh;B Larsson;G von Heijne;E L Sonnhammer

  • Pfam: The protein families database in 2021.

    Jaina Mistry;Sara Chuguransky;Lowri Williams;Matloob Qureshi

  • Pfam: the protein families database.

    Robert D. Finn;Alex Bateman;Jody Clements;Penelope Coggill

  • The Pfam protein families database in 2019.

    Sara El-Gebali;Jaina Mistry;Alex Bateman;Sean R Eddy

  • A Hidden Markov Model for Predicting Transmembrane Helices in Protein Sequences

    Erik L. L. Sonnhammer;Gunnar von Heijne;Anders Krogh

  • Pfam: clans, web tools and services

    Robert D. Finn;Jaina Mistry;Benjamin Schuster-Böckler;Sam Griffiths-Jones

  • A combined transmembrane topology and signal peptide prediction method.

    Lukas Käll;Anders Krogh;Erik L.L Sonnhammer

  • 2.2 Mb of contiguous nucleotide sequence from chromosome III of C. elegans

    R. Wilson;R. Ainscough;K. Anderson;C. Baynes

  • Advantages of combined transmembrane topology and signal peptide prediction--the Phobius web server.

    Lukas Käll;Anders Krogh;Erik L.L. Sonnhammer

  • PFAM : A COMPREHENSIVE DATABASE OF PROTEIN DOMAIN FAMILIES BASED ON SEED ALIGNMENTS

    Erik L.L. Sonnhammer;Sean R. Eddy;Richard Durbin

  • Automatic clustering of orthologs and in-paralogs from pairwise species comparisons.

    Maido Remm;Christian E.V. Storm;Erik L.L. Sonnhammer

  • Pfam: Multiple sequence alignments and HMM-profiles of protein domains

    Erik L. L. Sonnhammer;Sean R. Eddy;Ewan Birney;Alex Bateman

  • A dot-matrix program with dynamic threshold control suited for genomic DNA and protein sequence analysis.

    Erik L.L. Sonnhammer;Richard Durbin

  • Inparanoid: a comprehensive database of eukaryotic orthologs.

    Kevin P. O'Brien;Maido Remm;Erik L. L. Sonnhammer

  • Kalign – an accurate and fast multiple sequence alignment algorithm

    Timo Lassmann;Erik L L Sonnhammer

  • InParanoid 7 : new algorithms and tools for eukaryotic orthology analysis

    Gabriel Östlund;Thomas L Schmitt;Kristoffer Forslund;Tina Köstler

  • Pfam 3.1: 1313 multiple alignments and profile HMMs match the majority of proteins

    Alex Bateman;Ewan Birney;Richard Durbin;Sean R. Eddy

  • InParanoid 8: orthology analysis between 273 proteomes, mostly eukaryotic

    Erik L.L. Sonnhammer;Gabriel Östlund

  • Orthology, paralogy and proposed classification for paralog subtypes.

    Erik L.L Sonnhammer;Eugene V Koonin

Frequent Co-Authors

Richard Durbin
Richard Durbin University of Cambridge
Toni Gabaldón
Toni Gabaldón Institució Catalana de Recerca i Estudis Avançats
Christophe Dessimoz
Christophe Dessimoz University College London
Thomas Helleday
Thomas Helleday Karolinska Institute
Alex Bateman
Alex Bateman European Bioinformatics Institute
Anders Krogh
Anders Krogh University of Copenhagen
Sean R. Eddy
Sean R. Eddy Harvard University
Timo Lassmann
Timo Lassmann Telethon Kids Institute
Paul D. Thomas
Paul D. Thomas University of Southern California
Claes Wahlestedt
Claes Wahlestedt University of Miami

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