LanceOtron: a deep learning peak caller for genome sequencing experiments

LD Hentges, MJ Sergeant, CB Cole, DJ Downes… - …, 2022 - academic.oup.com
Motivation Genome sequencing experiments have revolutionized molecular biology by
allowing researchers to identify important DNA-encoded elements genome wide. Regions …

[HTML][HTML] CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspection

D Oh, JS Strattan, JK Hur, J Bento, AE Urban, G Song… - Scientific reports, 2020 - nature.com
ChIP-seq is one of the core experimental resources available to understand genome-wide
epigenetic interactions and identify the functional elements associated with diseases. The …

AmpUMI: design and analysis of unique molecular identifiers for deep amplicon sequencing

K Clement, R Farouni, DE Bauer, L Pinello - Bioinformatics, 2018 - academic.oup.com
Abstract Motivation Unique molecular identifiers (UMIs) are added to DNA fragments before
PCR amplification to discriminate between alleles arising from the same genomic locus and …

[HTML][HTML] Atropos: specific, sensitive, and speedy trimming of sequencing reads

JP Didion, M Martin, FS Collins - PeerJ, 2017 - peerj.com
A key step in the transformation of raw sequencing reads into biological insights is the
trimming of adapter sequences and low-quality bases. Read trimming has been shown to …

Next-generation sequencing: adjusting to data overload

M Baker - Nature methods, 2010 - nature.com
Next-generation sequencing: adjusting to data overload | Nature Methods Skip to main content
Thank you for visiting nature.com. You are using a browser version with limited support for …

Approaching complete genomes, transcriptomes and epi-omes with accurate long-read sequencing

S Kovaka, S Ou, KM Jenike, MC Schatz - Nature methods, 2023 - nature.com
The year 2022 will be remembered as the turning point for accurate long-read sequencing,
which now establishes the gold standard for speed and accuracy at competitive costs. We …

AIAP: a quality control and integrative analysis package to improve ATAC-seq data analysis

S Liu, D Li, C Lyu, PM Gontarz, B Miao… - Genomics …, 2021 - academic.oup.com
Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) is
a technique widely used to investigate genome-wide chromatin accessibility. The recently …

MetaSV: an accurate and integrative structural-variant caller for next generation sequencing

M Mohiyuddin, JC Mu, J Li, N Bani Asadi… - …, 2015 - academic.oup.com
Structural variations (SVs) are large genomic rearrangements that vary significantly in size,
making them challenging to detect with the relatively short reads from next-generation …

[HTML][HTML] Productive visualization of high-throughput sequencing data using the SeqCode open portable platform

E Blanco, M González-Ramírez, L Di Croce - Scientific Reports, 2021 - nature.com
Large-scale sequencing techniques to chart genomes are entirely consolidated. Stable
computational methods to perform primary tasks such as quality control, read mapping, peak …

DiffChIPL: a differential peak analysis method for high-throughput sequencing data with biological replicates based on limma

Y Chen, S Chen, EP Lei - Bioinformatics, 2022 - academic.oup.com
Motivation ChIP-seq detects protein–DNA interactions within chromatin, such as that of
chromatin structural components and transcription machinery. ChIP-seq profiles are often …