Sentence examples for binding peaks using the from inspiring English sources

Exact(1)

We inferred the binding peaks using the MACS algorithm.

Similar(59)

We also visually inspected the locations of several of the LRH-1 binding sites with respect to neighboring FXR binding peaks, using peak distribution tracks in the UCSC genome browser.

14 We characterized the genomic location of binding peaks using a peak-finding tool of Avadis NGS that classifies the locations into the upstream region, 5′ untranslated region (5′UTR), exon, intron, and 3′UTR.

For each ChIP-seq dataset, we predicted the location of a CTCF binding site in each peak using the GADEM software [ 56].

We also inspected LRH-1 binding peaks by using the bedGraph format that allows a display of continuous-valued ChIP-seq data in track format using the UCSC genome browser.

The ChIP-Seq binding peaks were scored using the SPP peak caller and irreproducible discovery rate analysis (Kharchenko et al. 2008; Li et al. 2011), which resulted in the identification of 1000−6500 strongly reproducible peaks per cell line (Table 1).

Dillon and colleagues found 261 binding sites using the ChIPOTle peak finding program.

Accordingly, we sequenced two independent ChIP-seq replicates and determined a set of enriched ZNF217 binding sites, using the Sole-Search peak calling tool [ 12], by taking the shared ZNF217 binding sites (False Discovery Rate (FDR) < 0.0001) from both replicates (18, 965 binding sites; Additional file 1).

Unambiguously mapped and unique reads were kept for subsequent generation of binding profiles and calling of peaks using MACS with an fdr < 0.05 [ 61].

Analyzed uniquely mapped reads used for analysis (Bold) To identify LRH-1 binding peaks, we used Model-based Analysis of ChIP-seq (MACS), which was designed to analyze data generated by short read sequencers such as from the SOLiD platform [ 15] to first estimate peak size and location, using BED files as an input.

We also analyzed individual peaks for differential binding across conditions using the EdgeR tool [ 30], but were only able to identify 12 regions (0.2% of total) with significant differential CREB enrichment at a 10% FDR threshold (Additional file 1: Table S2).

Show more...

Ludwig, your English writing platform

Write better and faster with AI suggestions while staying true to your unique style.

Student

Used by millions of students, scientific researchers, professional translators and editors from all over the world!

MitStanfordHarvardAustralian Nationa UniversityNanyangOxford

Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

Get started for free

Unlock your writing potential with Ludwig

Letters

Most frequent sentences: