210 related articles for article (PubMed ID: 36688705)
1. GOThresher: a program to remove annotation biases from protein function annotation datasets.
Joshi P; Banerjee S; Hu X; Khade PM; Friedberg I
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36688705
[TBL] [Abstract][Full Text] [Related]
2. Pybedtools: a flexible Python library for manipulating genomic datasets and annotations.
Dale RK; Pedersen BS; Quinlan AR
Bioinformatics; 2011 Dec; 27(24):3423-4. PubMed ID: 21949271
[TBL] [Abstract][Full Text] [Related]
3. orfipy: a fast and flexible tool for extracting ORFs.
Singh U; Wurtele ES
Bioinformatics; 2021 Sep; 37(18):3019-3020. PubMed ID: 33576786
[TBL] [Abstract][Full Text] [Related]
4. GO Bench: shared hub for universal benchmarking of machine learning-based protein functional annotations.
Dickson A; Asgari E; McHardy AC; Mofrad MRK
Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36786404
[TBL] [Abstract][Full Text] [Related]
5. Trackplot: A flexible toolkit for combinatorial analysis of genomic data.
Zhang Y; Zhou R; Liu L; Chen L; Wang Y
PLoS Comput Biol; 2023 Sep; 19(9):e1011477. PubMed ID: 37669275
[TBL] [Abstract][Full Text] [Related]
6. Hierarchical deep learning for predicting GO annotations by integrating protein knowledge.
Merino GA; Saidi R; Milone DH; Stegmayer G; Martin MJ
Bioinformatics; 2022 Sep; 38(19):4488-4496. PubMed ID: 35929781
[TBL] [Abstract][Full Text] [Related]
7. PyHMMER: a Python library binding to HMMER for efficient sequence analysis.
Larralde M; Zeller G
Bioinformatics; 2023 May; 39(5):. PubMed ID: 37074928
[TBL] [Abstract][Full Text] [Related]
8. orthofisher: a broadly applicable tool for automated gene identification and retrieval.
Steenwyk JL; Rokas A
G3 (Bethesda); 2021 Sep; 11(9):. PubMed ID: 34544141
[TBL] [Abstract][Full Text] [Related]
9. Functional annotation of genomic variants in studies of late-onset Alzheimer's disease.
Butkiewicz M; Blue EE; Leung YY; Jian X; Marcora E; Renton AE; Kuzma A; Wang LS; Koboldt DC; Haines JL; Bush WS
Bioinformatics; 2018 Aug; 34(16):2724-2731. PubMed ID: 29590295
[TBL] [Abstract][Full Text] [Related]
10. Information theory applied to the sparse gene ontology annotation network to predict novel gene function.
Tao Y; Sam L; Li J; Friedman C; Lussier YA
Bioinformatics; 2007 Jul; 23(13):i529-38. PubMed ID: 17646340
[TBL] [Abstract][Full Text] [Related]
11. GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data.
Araujo FA; Barh D; Silva A; Guimarães L; Ramos RTJ
Sci Rep; 2018 Jan; 8(1):1794. PubMed ID: 29379090
[TBL] [Abstract][Full Text] [Related]
12. A Python package for parsing, validating, mapping and formatting sequence variants using HGVS nomenclature.
Hart RK; Rico R; Hare E; Garcia J; Westbrook J; Fusaro VA
Bioinformatics; 2015 Jan; 31(2):268-70. PubMed ID: 25273102
[TBL] [Abstract][Full Text] [Related]
13. Efficient population-scale variant analysis and prioritization with VAPr.
Birmingham A; Mark AM; Mazzaferro C; Xu G; Fisch KM
Bioinformatics; 2018 Aug; 34(16):2843-2845. PubMed ID: 29659724
[TBL] [Abstract][Full Text] [Related]
14. Pinstripe: a suite of programs for integrating transcriptomic and proteomic datasets identifies novel proteins and improves differentiation of protein-coding and non-coding genes.
Gascoigne DK; Cheetham SW; Cattenoz PB; Clark MB; Amaral PP; Taft RJ; Wilhelm D; Dinger ME; Mattick JS
Bioinformatics; 2012 Dec; 28(23):3042-50. PubMed ID: 23044541
[TBL] [Abstract][Full Text] [Related]
15. Analysing high-throughput sequencing data in Python with HTSeq 2.0.
Putri GH; Anders S; Pyl PT; Pimanda JE; Zanini F
Bioinformatics; 2022 May; 38(10):2943-2945. PubMed ID: 35561197
[TBL] [Abstract][Full Text] [Related]
16. Biases in the experimental annotations of protein function and their effect on our understanding of protein function space.
Schnoes AM; Ream DC; Thorman AW; Babbitt PC; Friedberg I
PLoS Comput Biol; 2013; 9(5):e1003063. PubMed ID: 23737737
[TBL] [Abstract][Full Text] [Related]
17. PyIOmica: longitudinal omics analysis and trend identification.
Domanskyi S; Piermarocchi C; Mias GI
Bioinformatics; 2020 Apr; 36(7):2306-2307. PubMed ID: 31778155
[TBL] [Abstract][Full Text] [Related]
18. DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier.
Kulmanov M; Khan MA; Hoehndorf R; Wren J
Bioinformatics; 2018 Feb; 34(4):660-668. PubMed ID: 29028931
[TBL] [Abstract][Full Text] [Related]
19. Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation.
Armean IM; Lilley KS; Trotter MWB; Pilkington NCV; Holden SB
Bioinformatics; 2018 Jun; 34(11):1884-1892. PubMed ID: 29390084
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
