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Functional & Integrative GenomicsBioinformaticsPeer-reviewed journal article

BCLncRDB: A comprehensive database of LncRNAs associated with breast cancer

Swapnil KumariD, Avantika Agrawal, Vaibhav VindaliD

PDFDOIPreprint

Abstract

MotivationBreast cancer, the most common cancer in women, is characterized by high morbidity and mortality worldwide. Recent evidence has shown that long non-coding RNAs (lncRNAs) play a crucial role in the development and progression of breast cancer. Despite this, no database exists primarily for lncRNAs associated with only breast cancer. ResultsWe developed BCLncRDB, a manually curated, comprehensive database of lncRNAs associated with breast cancer. For this, we collected, processed, and analyzed data on breast cancer-associated lncRNAs from different sources, including published literature and TCGA. Currently, our database contains 5,279 unique breast cancer-lncRNA associations. It has the following features: (I) Differentially expressed and methylated lncRNAs, (II) Stage and subtype-specific lncRNAs, and (III) Drugs, Subcellular localization, Sequence, and Chromosome information. Thus, the BCLncRDB provides a dedicated platform for exploring breast cancer-related lncRNAs to advance and support the ongoing research on this disease. Availability and implementationThe database BCLncRDB is publicly available for use at http://sls.uohyd.ac.in/new/bclncrdb. Contactvaibhav@uohyd.ac.in

Citations
4
FWCI
0.51
Field percentile
top 44%

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