GeneMark-EP+: eukaryotic gene prediction with self-training in the space of genes and proteins
Tomáš Brůna,
A. Lomsadze,
M. Borodovsky
|
8 |
2020 |
8
2020
|
Sequencing error profiles of Illumina sequencing instruments
Nicholas Stoler,
A. Nekrutenko
|
7 |
2021 |
7
2021
|
PHROG: families of prokaryotic virus proteins clustered using remote homology
9 auth.
Polly Terzian,
Eric Olo Ndela,
Clovis Galiez,
Julien Lossouarn,
Rubén Enrique Pérez Bucio,
R. Mom,
...
A. Toussaint,
M. Petit,
François Enault
|
7 |
2021 |
7
2021
|
Benchmarking of long-read correction methods
J. C. Dohm,
P. Peters,
N. Stralis-Pavese,
H. Himmelbauer
|
6 |
2020 |
6
2020
|
A network-based integrated framework for predicting virus–prokaryote interactions
9 auth.
Weili Wang,
Jie Jessie Ren,
Kujin Tang,
Emily Dart,
J. C. Ignacio-Espinoza,
J. Fuhrman,
...
J. Braun,
Fengzhu Sun,
N. Ahlgren
|
6 |
2020 |
6
2020
|
Deep soft K-means clustering with self-training for single-cell RNA sequence data
Liang Chen,
Weinan Wang,
Yuyao Zhai,
Minghua Deng
|
6 |
2020 |
6
2020
|
RNAsamba: neural network-based assessment of the protein-coding potential of RNA sequences
Antonio P. Camargo,
Vsevolod Sourkov,
G. Pereira,
M. Carazzolle
|
6 |
2020 |
6
2020
|
Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution
12 auth.
N. Andor,
Billy T. Lau,
C. Catalanotti,
A. Sathe,
M. Kubit,
Jiamin Chen,
...
C. Blaj,
A. Cherry,
C. Bangs,
S. Grimes,
Carlos J. Suarez,
Hanlee P. Ji
|
6 |
2020 |
6
2020
|
Variable selection in microbiome compositional data analysis
Antoni Susin,
Yiwen Wang,
Kim-Anh Lê Cao,
M. Calle
|
6 |
2020 |
6
2020
|
Informative RNA base embedding for RNA structural alignment and clustering by deep representation learning
Manato Akiyama,
Y. Sakakibara
|
5 |
2022 |
5
2022
|
Global variability analysis of mRNA and protein concentrations across and within human tissues
9 auth.
C. Wegler,
Magnus Ölander,
J. Wiśniewski,
Patrik Lundquist,
K. Zettl,
A. Åsberg,
...
J. Hjelmesæth,
T. Andersson,
P. Artursson
|
5 |
2019 |
5
2019
|
