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GenomeFLTR:轻松过滤读取数据。

GenomeFLTR: filtering reads made easy.

机构信息

The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.

School of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.

出版信息

Nucleic Acids Res. 2023 Jul 5;51(W1):W232-W236. doi: 10.1093/nar/gkad410.

Abstract

In the last decade, advances in sequencing technology have led to an exponential increase in genomic data. These new data have dramatically changed our understanding of the evolution and function of genes and genomes. Despite improvements in sequencing technologies, identifying contaminated reads remains a complex task for many research groups. Here, we introduce GenomeFLTR, a new web server to filter contaminated reads. Reads are compared against existing sequence databases from various representative organisms to detect potential contaminants. The main features implemented in GenomeFLTR are: (i) automated updating of the relevant databases; (ii) fast comparison of each read against the database; (iii) the ability to create user-specified databases; (iv) a user-friendly interactive dashboard to investigate the origin and frequency of the contaminations; (v) the generation of a contamination-free file. Availability: https://genomefltr.tau.ac.il/.

摘要

在过去的十年中,测序技术的进步导致了基因组数据的指数级增长。这些新数据极大地改变了我们对基因和基因组进化和功能的理解。尽管测序技术有所改进,但对于许多研究小组来说,识别污染的读取仍然是一项复杂的任务。在这里,我们介绍了 GenomeFLTR,这是一个新的网络服务器,用于过滤污染的读取。读取与来自各种代表性生物的现有序列数据库进行比较,以检测潜在的污染物。在 GenomeFLTR 中实现的主要功能是:(i)自动更新相关数据库;(ii)快速比较每个读取与数据库;(iii)创建用户指定数据库的能力;(iv)用户友好的交互式仪表板,用于调查污染的来源和频率;(v)生成无污染的文件。可用性:https://genomefltr.tau.ac.il/。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3518/10320065/31392d94fe56/gkad410figgra1.jpg

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