cnF2freq: Efficient Determination of Genotype and Haplotype Probabilities in Outbred Populations Using Markov Models. - Carl Nettelblad; Sverker Holmgren; Lucy Crooks; Örjan Carlborg (BICoB, 2009)

A Grid-Enabled Problem Solving Environment for QTL Analysis in R. - Mahen Jayawardena; Carl Nettelblad; Salman Zubair Toor; Per-Olov Östberg; Erik Elmroth; Sverker Holmgren (BICoB, 2010)

Two Optimization Problems in Genetics : Multi-dimensional QTL Analysis and Haplotype Inference. - Carl Nettelblad (2012)

Fast and Accurate Detection of Multiple Quantitative Trait Loci. - Carl Nettelblad; Behrang Mahjani; Sverker Holmgren (J. Comput. Biol., 2013)

Feature Evaluation for Handwritten Character Recognition with Regressive and Generative Hidden Markov Models. - Kalyan Ram Ayyalasomayajula; Carl Nettelblad; Anders Brun (ISVC (1), 2016)

CannyFS: Opportunistically Maximizing I/O Throughput Exploiting the Transactional Nature of Batch-Mode Data Processing. - Jessica Nettelblad; Carl Nettelblad (CoRR, 2016)

Assessing Uncertainties in X-ray Single-particle Three-dimensional reconstructions. - Stefan Engblom; Carl Nettelblad; Jing Liu 052 (CoRR, 2017)

A Flexible Computational Framework Using R and Map-Reduce for Permutation Tests of Massive Genetic Analysis of Complex Traits. - Behrang Mahjani; Salman Zubair Toor; Carl Nettelblad; Sverker Holmgren (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

BAMSI: a multi-cloud service for scalable distributed filtering of massive genome data. - Kristiina Ausmees; Aji John; Salman Zubair Toor; Andreas Hellander; Carl Nettelblad (BMC Bioinform., 2018)

Using Convex Optimization of Autocorrelation with Constrained Support and Windowing for Improved Phase Retrieval Accuracy. - Alberto Pietrini; Carl Nettelblad (CoRR, 2018)

Flash X-ray diffraction imaging in 3D: a proposed analysis pipeline. - Jing Liu 052; Stefan Engblom; Carl Nettelblad (CoRR, 2019)

Bootstrapping Weakly Supervised Segmentation-free Word Spotting through HMM-based Alignment. - Tomas Wilkinson; Carl Nettelblad (ICFHR, 2020)

Training Algorithm Matters for the Performance of Neural Network Potential. - Yunqi Shao; Florian M. Dietrich; Carl Nettelblad; Chao Zhang (CoRR, 2021)

A joint use of pooling and imputation for genotyping SNPs. - Camille Clouard; Kristiina Ausmees; Carl Nettelblad (BMC Bioinform., 2022)

Achieving improved accuracy for imputation of ancient DNA. - Kristiina Ausmees; Carl Nettelblad (Bioinform., 2023)

Data-Driven Locality-Aware Batch Scheduling. - Maxime Gonthier; Elisabeth Larsson; Loris Marchal; Carl Nettelblad; Samuel Thibault (IPDPS (Workshops), 2024)

Learning Genomic Structure from k-mers. - Filip Thor; Carl Nettelblad (CoRR, 2025)