bioRxiv/medRxiv TRiP Review Activity

428 Reviews — GigaScience — All Subjects

Most recent first Previous |  Page 33: Articles 321-330  | Next

Identifying, understanding, and correcting technical biases on the sex chromosomes in next-generation sequencing data
Webster, T. H., Couse, M., Grande, B. M., Karlins, E., Phung, T., Richmond, P. A., Whitford, W., Wilson Sayres, M. A.
10.1101/346940 — Posted: 2018-06-14 — Discussion: 2022-01-23  GigaScience
A collection of yeast cellular electron cryotomography data
Gan, L., Ng, C. T., Chen, C., Cai, S.
10.1101/594432 — Posted: 2019-04-05 — Discussion: 2022-01-23  GigaScience
Ultra-deep, long-read nanopore sequencing of mock microbial community standards
Nicholls, S. M., Quick, J. C., Tang, S., Loman, N. J.
10.1101/487033 — Posted: 2018-12-04 — Discussion: 2022-01-23  GigaScience
TuBA: Tunable Biclustering Algorithm Reveals Clinically Relevant Tumor Transcriptional Profiles in Breast Cancer
Singh, A., Bhanot, G., Khiabanian, H.
10.1101/245712 — Posted: 2018-01-25 — Discussion: 2022-01-23  GigaScience
Genome sequence of the corn leaf aphid (Rhopalosiphum maidis Fitch)
Chen, W., Shakir, S., Bigham, M., Fei, Z., Jander, G.
10.1101/438499 — Posted: 2018-10-22 — Discussion: 2022-01-23  GigaScience
Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer Subnetworks
Hodzic, E., Shrestha, R., Zhu, K., Cheng, K., Collins, C. C., Sahinalp, S. C.
10.1101/369850 — Posted: 2018-07-16 — Discussion: 2022-01-23  GigaScience
duphold: scalalable, depth-based annotation and curation of high-confidence structural variant calls.
Pedersen, B. S., Quinlan, A. R.
10.1101/465385 — Posted: 2018-11-08 — Discussion: 2022-01-23  GigaScience
ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data
Piccolo, S. R., Lee, T. J., Suh, E., Hill, K.
10.1101/675181 — Posted: 2019-06-19 — Discussion: 2022-01-23  GigaScience
HAMAP rules as SPARQL - A portable annotation pipeline for genomes and proteomes
Bolleman, J., de Castro, E., Baratin, D., Gehant, S., Cuche, B. A., Auchincloss, A., COUDERT, E., Hulo, C., Masson, P., Pedruzzi, I., Rivoire, C., Xenarios, I., Redaschi, N., Bridge, A.
10.1101/615294 — Posted: 2019-04-24 — Discussion: 2022-01-23  GigaScience
High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat
Wang, X., Xuan, H., Evers, B., Shrestha, S., Pless, R., Poland, J.
10.1101/527911 — Posted: 2019-01-23 — Discussion: 2022-01-23  GigaScience

Evaluation Sources