output
20162025
most citedCoverM: Read alignment statistics for metagenomics

474 citations

15 papers

q-bio.GN2025★ 474 cited

CoverM: Read alignment statistics for metagenomics

Samuel T. N. Aroney, Rhys J. P. Newell, Jakob N. Nissen +3

Genome-centric analysis of metagenomic samples is a powerful method for understanding the function of microbial communities. Calculating read coverage is a central part of analysis…

cs.DL2024★ 26 cited

Promotional Language and the Adoption of Innovative Ideas in Science

Hao Peng, Huilian Sophie Qiu, Henrik Barslund Fosse +1

How are the merits of innovative ideas communicated in science? Here we conduct semantic analyses of grant application success with a focus on scientific promotional language, whic…

physics.soc-ph2024★ 60 cited

Designing a sector-coupled European energy system robust to 60 years of historical weather data

Ebbe Kyhl Gøtske, Gorm Bruun Andresen, Fabian Neumann +1

As energy systems transform to rely on renewable energy and electrification, they encounter stronger year-to-year variability in energy supply and demand. However, most infrastruct…

cond-mat.supr-con2024★ 22 cited

Cavity engineered phonon-mediated superconductivity in MgB from first principles quantum electrodynamics

I-Te Lu, Dongbin Shin, Mark Kamper Svendsen +5

Strong laser pulses can control superconductivity, inducing non-equilibrium transient pairing by leveraging strong-light matter interaction. Here we demonstrate theoretically that…

cond-mat.soft2023★ 32 cited

Quantitative evaluation of methods to analyze motion changes in single-particle experiments

Gorka Muñoz-Gil, Harshith Bachimanchi, Jesús Pineda +33

The analysis of live-cell single-molecule imaging experiments can reveal valuable information about the heterogeneity of transport processes and interactions between cell component…

physics.soc-ph2023★ 3 cited

Distributed photovoltaics provides key benefits for a highly renewable European energy system

Parisa Rahdan, Elisabeth Zeyen, Cristobal Gallego-Castillo +1

Distributed solar photovoltaic (PV) systems are projected to be a key contributor to future energy landscape, but are often poorly represented in energy models due to their distrib…

q-bio.MN2023★ 1 cited

Shu: Visualization of high dimensional biological pathways

Jorge Carrasco Muriel, Nicholas Cowie, Marjan Mansouvar +2

Summary: Shu is a visualization tool that integrates diverse data types into a metabolic map, with a focus on supporting multiple conditions and visualizing distributions. The goal…

q-bio.GN2022★ 18 cited

Mapache: a flexible pipeline to map ancient DNA

Samuel Neuenschwander, Diana I. Cruz Dávalos, Lucas Anchieri +6

Summary: Mapping ancient DNA to a reference genome is challenging as it involves numerous steps, is time-consuming and has to be repeated within a study to assess the quality of ex…

physics.soc-ph2022★ 15 cited

Cost and efficiency requirements for a successful electricity storage in a highly renewable European energy system

Ebbe Kyhl Gøtske, Gorm Bruun Andresen, Marta Victoria

Future highly renewable energy systems might require substantial storage deployment. At the current stage, the technology portfolio of dominant storage options is limited to pumped…

physics.soc-ph2022★ 99 cited

Endogenous learning for green hydrogen in a sector-coupled energy model for Europe

Elisabeth Zeyen, Marta Victoria, Tom Brown

Many studies have shown that hydrogen could play a large role in the energy transition for hard-to-electrify sectors, but previous modelling has not included the necessary features…

physics.soc-ph2021★ 164 cited

Speed of technological transformations required in Europe to achieve different climate goals

Marta Victoria, Elisabeth Zeyen, Tom Brown

Europe's contribution to global warming will be determined by the cumulative emissions until climate neutrality is achieved. In this paper, we investigate alternative transition pa…

q-bio.BM2020★ 329 cited

The FRET-based structural dynamics challenge -- community contributions to consistent and open science practices

Eitan Lerner, Benjamin Ambrose, Anders Barth +23

Single-molecule Förster resonance energy transfer (smFRET) has become a mainstream technique for probing biomolecular structural dynamics. The rapid and wide adoption of the techni…

nlin.AO2020★ 16 cited

Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-class Classification with a Convolutional Neural Network

Hyobin Kim, Stalin Muñoz, Pamela Osuna +1

Robustness and evolvability are essential properties to the evolution of biological networks. To determine if a biological network is robust and/or evolvable, it is required to com…

q-bio.BM2020★ 25 cited

Performance of regression models as a function of experiment noise

Gang Li, Jan Zrimec, Boyang Ji +5

A challenge in developing machine learning regression models is that it is difficult to know whether maximal performance has been reached on a particular dataset, or whether furthe…

q-bio.MN2016

Reliable and efficient solution of genome-scale models of Metabolism and macromolecular Expression

Ding Ma, Laurence Yang, Ronan M. T. Fleming +3

Constraint-Based Reconstruction and Analysis (COBRA) is currently the only methodology that permits integrated modeling of Metabolism and macromolecular Expression (ME) at genome-s…