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Páll Melsted

Showing results (1-10 of 29) with videos related to

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Genome Biology|September 18, 2020
Bifrost: highly parallel construction and indexing of colored and compacted de Bruijn graphsGuillaume Holley, Páll Melsted
Bioinformatics (Oxford, England)|May 7, 2016
chopBAI: BAM index reduction solves I/O bottlenecks in the joint analysis of large sequencing cohortsBirte Kehr, Páll Melsted
Genome Research|July 7, 2025
Batch correction methods used in single-cell RNA sequencing analyses are often poorly calibratedSindri Emmanúel Antonsson, Páll Melsted
BMC Bioinformatics|August 12, 2011
Efficient counting of k-mers in DNA sequences using a bloom filterPáll Melsted, Jonathan K Pritchard
Bioinformatics (Oxford, England)|May 2, 2023
BUSZ: compressed BUS filesPétur Helgi Einarsson, Páll Melsted
Bioinformatics (Oxford, England)|October 31, 2014
KmerStream: streaming algorithms for k-mer abundance estimationPáll Melsted, Bjarni V Halldórsson
Bioinformatics (Oxford, England)|September 13, 2015
BamHash: a checksum program for verifying the integrity of sequence dataArna Óskarsdóttir, Gísli Másson, Páll Melsted
Bioinformatics (Oxford, England)|May 11, 2019
The barcode, UMI, set format and BUStoolsPáll Melsted, Vasilis Ntranos, Lior Pachter
Bioinformatics (Oxford, England)|May 1, 2015
PopIns: population-scale detection of novel sequence insertionsBirte Kehr, Páll Melsted, Bjarni V Halldórsson
Nature Methods|January 22, 2019
A discriminative learning approach to differential expression analysis for single-cell RNA-seqVasilis Ntranos, Lynn Yi, Páll Melsted, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Genome Biology|September 18, 2020
Bifrost: highly parallel construction and indexing of colored and compacted de Bruijn graphsGuillaume Holley, Páll Melsted
Bioinformatics (Oxford, England)|May 7, 2016
chopBAI: BAM index reduction solves I/O bottlenecks in the joint analysis of large sequencing cohortsBirte Kehr, Páll Melsted
Genome Research|July 7, 2025
Batch correction methods used in single-cell RNA sequencing analyses are often poorly calibratedSindri Emmanúel Antonsson, Páll Melsted
BMC Bioinformatics|August 12, 2011
Efficient counting of k-mers in DNA sequences using a bloom filterPáll Melsted, Jonathan K Pritchard
Bioinformatics (Oxford, England)|May 2, 2023
BUSZ: compressed BUS filesPétur Helgi Einarsson, Páll Melsted
Bioinformatics (Oxford, England)|October 31, 2014
KmerStream: streaming algorithms for k-mer abundance estimationPáll Melsted, Bjarni V Halldórsson
Bioinformatics (Oxford, England)|September 13, 2015
BamHash: a checksum program for verifying the integrity of sequence dataArna Óskarsdóttir, Gísli Másson, Páll Melsted
Bioinformatics (Oxford, England)|May 11, 2019
The barcode, UMI, set format and BUStoolsPáll Melsted, Vasilis Ntranos, Lior Pachter
Bioinformatics (Oxford, England)|May 1, 2015
PopIns: population-scale detection of novel sequence insertionsBirte Kehr, Páll Melsted, Bjarni V Halldórsson
Nature Methods|January 22, 2019
A discriminative learning approach to differential expression analysis for single-cell RNA-seqVasilis Ntranos, Lynn Yi, Páll Melsted, et al.
Pageof 3