24 citations · 32 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…