Alexander Lachmann

发表

FNV: light-weight flash-based network and pathway viewer

Avi Ma'ayan, Ruth Dannenfelser, Alexander Lachmann, 2011, Bioinform..

Detection and removal of spatial bias in multiwell assays

Andrea Califano, Mariano J. Alvarez, Alexander Lachmann, 2016, Bioinform..

Massive Mining of Publicly Available RNA-seq Data from Human and Mouse

Denis Torre, Avi Ma'ayan, Kathleen M. Jagodnik, 2017 .

Cloud-based drag-and-drop scalable RNA sequencing pipeline

Avi Ma'ayan, Alexander Lachmann, Troy Goff, 2016 .

BioJupies: Automated Generation of Interactive Notebooks for RNA-Seq Data Analysis in the Cloud.

Denis Torre, Avi Ma'ayan, Alexander Lachmann, 2018, Cell systems.

KEA: kinase enrichment analysis

Avi Ma'ayan, Alexander Lachmann, Alexander Lachmann, 2009, Bioinform..

Inferring the Sign of Kinase-Substrate Interactions by Combining Quantitative Phosphoproteomics with a Literature-Based Mammalian Kinome Network

Avi Ma'ayan, Shan Zhao, Marylens Hernandez, 2010, 2010 IEEE International Conference on BioInformatics and BioEngineering.

L1000FWD: fireworks visualization of drug‐induced transcriptomic signatures

Avi Ma'ayan, Zichen Wang, Alexander Lachmann, 2018, Bioinform..

Elysium: RNA-seq Alignment in the Cloud

Avi Ma'ayan, Alexander Lachmann, Zhuorui Xie, 2018, bioRxiv.

ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments

Avi Ma'ayan, Alexander Lachmann, Amin R. Mazloom, 2010, Bioinform..

Lists2Networks: Integrated analysis of gene/protein lists

Avi Ma'ayan, Alexander Lachmann, Alexander Lachmann, 2010, BMC Bioinformatics.

Mining data and metadata from the gene expression omnibus

Avi Ma'ayan, Zichen Wang, Alexander Lachmann, 2018, Biophysical Reviews.

Datasets2Tools, repository and search engine for bioinformatics datasets, tools and canned analyses

Kathleen M Jagodnik, Denis Torre, Avi Ma'ayan, 2018, Scientific Data.

The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations.

Ravi Iyengar, Vasileios Stathias, Amar Koleti, 2017, Cell systems.

Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

Andrew D. Rouillard, Avi Ma'ayan, Matthew R. Jones, 2016, Nucleic Acids Res..

Systematic, network-based characterization of therapeutic target inhibitors

Andrea Califano, Mariano J. Alvarez, Alexander Lachmann, 2017, PLoS Comput. Biol..

Connectivity Mapping: Methods and Applications

Avi Ma'ayan, Kathleen M. Jagodnik, Alexander Lachmann, 2019, Annual Review of Biomedical Data Science.

eXpression2Kinases (X2K) Web: linking expression signatures to upstream cell signaling networks

Denis Torre, Avi Ma'ayan, Zichen Wang, 2018, Nucleic Acids Res..

Finding relevant patterns in bursty sequences

Mirek Riedewald, Alexander Lachmann, 2008, Proc. VLDB Endow..

Massive mining of publicly available RNA-seq data from human and mouse

Kathleen M Jagodnik, Denis Torre, Avi Ma'ayan, 2017, Nature Communications.

BioJupies: Automated Generation of Interactive Notebooks for RNA-seq Data Analysis in the Cloud

Denis Torre, Avi Ma'ayan, Alexander Lachmann, 2018, bioRxiv.

ARACNe-AP: gene network reverse engineering through adaptive partitioning inference of mutual information

Andrea Califano, Gonzalo López, Alexander Lachmann, 2016, Bioinform..

Appyters: Turning Jupyter Notebooks into data-driven web apps

Avi Ma'ayan, Kathleen M. Jagodnik, Minji Jeon, 2021, Patterns.

LINCS Data Portal 2.0: next generation access point for perturbation-response signatures

Vasileios Stathias, Amar Koleti, Raymond Terryn, 2019, Nucleic Acids Res..

Geneshot: search engine for ranking genes from arbitrary text queries

Denis Torre, Avi Ma’ayan, Alexander Lachmann, 2019, Nucleic Acids Res..

Integration of protein phosphorylation, acetylation, and methylation data sets to outline lung cancer signaling networks

Avi Ma'ayan, Travis Wheeler, Alexander Lachmann, 2018, Science Signaling.

Polycomb repressive complex 2 (PRC2) silences genes responsible for neurodegeneration

Avi Ma'ayan, Zichen Wang, Alexander Lachmann, 2016, Nature Neuroscience.