Results 131 to 140 of about 928,042 (281)

RNA m6A methylation across the transcriptome.

Molecules and Cells, 2023
Erdem Sendinc, Yang Shi
semanticscholar   +1 more source

A survey of human brain transcriptome diversity at the single cell level

Proceedings of the National Academy of Sciences of the United States of America, 2015
Significance The brain comprises an immense number of cells and cellular connections. We describe the first, to our knowledge, single cell whole transcriptome analysis of human adult cortical samples.
S. Darmanis, S. Sloan, Ye Zhang, M. Enge, Christine Caneda, L. Shuer, M. Hayden Gephart, B. Barres, S. Quake   +8 more
semanticscholar   +1 more source

Ameliorated de novo transcriptome assembly using Illumina paired end sequence data with Trinity Assembler

Genomics Data, 2015
Advent of Next Generation Sequencing has led to possibilities of de novo transcriptome assembly of organisms without availability of complete genome sequence.
Kiran Gopinath Bankar, Vivek Nagaraj Todur, Rohit Nandan Shukla, Madavan Vasudevan   +3 more
doaj   +1 more source

Pooled CRISPR screening with single-cell transcriptome read-out

Nature Methods, 2017
CRISPR-based genetic screens are accelerating biological discovery, but current methods have inherent limitations. Widely used pooled screens are restricted to simple readouts including cell proliferation and sortable marker proteins.
Paul Datlinger, André F. Rendeiro, Christian Schmidl, Thomas Krausgruber, Peter Traxler, J. Klughammer, L. Schuster, Amelie Kuchler, D. Alpár, C. Bock   +9 more
semanticscholar   +1 more source

Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations

HGG Advances, 2023
Summary: Transcriptome prediction models built with data from European-descent individuals are less accurate when applied to different populations because of differences in linkage disequilibrium patterns and allele frequencies.
Daniel S. Araujo, Chris Nguyen, Xiaowei Hu, Anna V. Mikhaylova, Chris Gignoux, Kristin Ardlie, Kent D. Taylor, Peter Durda, Yongmei Liu, George Papanicolaou, Michael H. Cho, Stephen S. Rich, Jerome I. Rotter, Hae Kyung Im, Ani Manichaikul, Heather E. Wheeler   +15 more
doaj  

The Genexpress IMAGE Knowledge Base of the Human Muscle Transcriptome: A Resource of Structural, Functional, and Positional Candidate Genes for Muscle Physiology and Pathologies [PDF]

, 1999
Geneviève Piétu, Éric Eveno, Béatrice Soury-Segurens, Nicole-Adeline Fayein, Régine Mariage‐Samson, Christiane Matingou, Elisabeth Leroy, Claude A. Dechesne, Sabine Krieger, Wilhelm Ansorge, Isabelle Reguigne-Arnould, David Cox, Anindya Dehejia, Mihael H. Polymeropoulos, Marie‐Dominique Devignes, Charles Auffray   +15 more
openalex   +1 more source

Shotgun sequencing of the human transcriptome with ORF expressed sequence tags [PDF]

, 2000
Emmanuel Dias‐Neto, Ricardo G. Correa, Sérgio Verjovski-Almeida, Marcelo R. S. Briones, María Aparecida Nagai, Wilson A. Silva, Marco A. Zago, Silvana Bordin, Fernando Ferreira Costa, Gustavo H. Goldman, Alex F. Carvalho, Adriana Yamaguti Matsukuma, Gilson S. Baía, David H. Simpson, Adriana Brunstein, Paulo Sérgio Lopes de Oliveira, Philipp Bücher, C. Victor Jongeneel, Michael J. O’Hare, Fernando Augusto Soares, Helena Brentani, Luiz F. L. Reis, Sandro J. de Souza, Andrew J.G. Simpson   +23 more
openalex   +1 more source

A combination of LongSAGE with Solexa sequencing is well suited to explore the depth and the complexity of transcriptome

BMC Genomics, 2008
Background "Open" transcriptome analysis methods allow to study gene expression without a priori knowledge of the transcript sequences. As of now, SAGE (Serial Analysis of Gene Expression), LongSAGE and MPSS (Massively Parallel Signature Sequencing) are ...
Scoté-Blachon Céline, Wincker Patrick, Dossat Carole, Faure Claudine, Gay Nadine, Keime Céline, Hanriot Lucie, Peyron Christelle, Gandrillon Olivier   +8 more
doaj   +1 more source

Analysis of the yeast transcriptome with structural and functional categories: characterizing highly expressed proteins [PDF]

, 2000
Ronald Jansen
openalex   +1 more source

Large-Scale Profiling of the Arabidopsis Transcriptome [PDF]

, 2000
Tong Zhu, Xun Wang
openalex   +1 more source