24 citations · 32 across the 6 of their papers we have counts for
7 papers
Bayesian optimization in ab initio nuclear physics
A. Ekström, C. Forssén, C. Dimitrakakis +5
Theoretical models of the strong nuclear interaction contain unknown coupling constants (parameters) that must be determined using a pool of calibration data. In cases where the mo…
Automatic learning of pre-miRNAs from different species
Ivani de Oliveira Negrão Lopes, Alexander Schliep, André C. P. de L. F. de Carvalho
Discovery of microRNAs (miRNAs) relies on predictive models for characteristic features from miRNA precursors (pre-miRNAs). The short length of miRNA genes and the lack of pronounc…
TreQ-CG: Clustering Accelerates High-Throughput Sequencing Read Mapping
Md Pavel Mahmud, Alexander Schliep
As high-throughput sequencers become standard equipment outside of sequencing centers, there is an increasing need for efficient methods for pre-processing and primary analysis. Wh…
The discriminant power of RNA features for pre-miRNA recognition
Ivani de O. N. Lopes, Alexander Schliep, André P. L. F. de Carvalho
Computational discovery of microRNAs (miRNA) is based on pre-determined sets of features from miRNA precursors (pre-miRNA). These feature sets used by current tools for pre-miRNA r…
Turtle: Identifying frequent k-mers with cache-efficient algorithms
Rajat Shuvro Roy, Debashish Bhattacharya, Alexander Schliep
Counting the frequencies of k-mers in read libraries is often a first step in the analysis of high-throughput sequencing experiments. Infrequent k-mers are assumed to be a result o…
CLEVER: Clique-Enumerating Variant Finder
Tobias Marschall, Ivan Costa, Stefan Canzar +4
Next-generation sequencing techniques have facilitated a large scale analysis of human genetic variation. Despite the advances in sequencing speeds, the computational discovery of…
SLIQ: Simple Linear Inequalities for Efficient Contig Scaffolding
Rajat S. Roy, Kevin C. Chen, Anirvan M. Sengupta +1
Scaffolding is an important subproblem in "de novo" genome assembly in which mate pair data are used to construct a linear sequence of contigs separated by gaps. Here we present SL…