Asset Details

MbrlCatalogueTitleDetail

Do you wish to reserve the book?

KBase: The United States Department of Energy Systems Biology Knowledgebase

by Olson, Robert , Riehl, William J , Murphy-Olson, Dan , Conrad, Neal , Oh, Taeyun , Sneddon, Michael W , Kondo, Shinnosuke , Dubchak, Inna , Stevens, Rick L , Yoo, Hyunseung , Haun, Holly L , Dietrich, Emily , Parrello, Bruce , Chia, Jer-Ming , Gerlach, Wolfgang , Colasanti, Ric , Harris, Nomi L , Fang, Gang , Kumari, Sunita , Greiner, Annette , Gurtowski, James , Sutormin, Roman A , Pasternak, Shiran , Chivian, Dylan , Henderson, Matthew L , Price, Gavin A , Syed, Mustafa H , Gerstein, Mark , Davis, James J , Faria, José P , Seaver, Samuel M D , Weston, David J , Brenner, Steven E , Novichkov, Pavel S , Keegan, Kevin P , Baumohl, Jason , Meyer, Folker , Thomason, James , Schatz, Michael C , Kumar, Vivek , Pearson, Erik , Best, Aaron A , Ware, Doreen , Bowen, Ben , Jain, Rashmi , Ranjan, Priya , Allen, Benjamin H , Poon, Sarah S , Yu, Dantong , Maslov, Sergei , Gunter, Dan , Chandonia, John-Marc , Wang, Daifeng , Henry, Christopher S , Arkin, Adam P , Bun, Christopher C , Ronald, Pamela C , Yoo, Shinjae , Shukla, Maulik , Brettin, Thomas S , Drake, Meghan M , Kamimura, Roy T , Chan, Stephen Y , Edirisinghe, Janaka N , He, Fei , Devoid, Scott , Perez, Fernando , Mills, Marissa , Dehal, P

in 38/39 / 45/23 / 49/91 / 631/114/129 / 631/114/2398 / 631/114/2401 / 631/114/794 / Agriculture / BASIC BIOLOGICAL SCIENCES / Bioinformatics / Biology / Biomedical Engineering/Biotechnology / Biomedicine / Biotechnology / Collaboration / Computational Biology - methods / correspondence / Data analysis / Data models / Database Management Systems - trends / Energy policy / Gene expression / Gene sequencing / Genomes / Genomics / Government agencies / Humans / Knowledge Bases / Knowledge bases (artificial intelligence) / KNOWLEDGE MANAGEMENT AND PRESERVATION / Life Sciences / MATHEMATICS AND COMPUTING / Metabolism / Metabolites / Narratives / Open source software / Organisms / Phenotypes / Prediction models / Reproducibility / Software development / Systems Biology - trends / Technology application / United States / User interface

2018

Yes Please

Hey, we have placed the reservation for you!

By the way, why not check out events that you can attend while you pick your title.

Oops! Something went wrong.

Looks like we were not able to place the reservation. Kindly try again later.

Are you sure you want to remove the book from the shelf?

KBase: The United States Department of Energy Systems Biology Knowledgebase

2018

Confirm

Do you wish to request the book?

KBase: The United States Department of Energy Systems Biology Knowledgebase

2018

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy

How would you like to get it?

Submit

We have requested the book for you!

Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.

Oops! Something went wrong.

Looks like we were not able to place your request. Kindly try again later.

Journal Article

KBase: The United States Department of Energy Systems Biology Knowledgebase

Olson, Robert,

Riehl, William J,

Murphy-Olson, Dan,

Conrad, Neal,

Oh, Taeyun,

Sneddon, Michael W,

Kondo, Shinnosuke,

Dubchak, Inna,

Stevens, Rick L,

Yoo, Hyunseung,

Haun, Holly L,

Dietrich, Emily,

Parrello, Bruce,

Chia, Jer-Ming,

Gerlach, Wolfgang,

Colasanti, Ric,

Harris, Nomi L,

Fang, Gang,

Kumari, Sunita,

Greiner, Annette,

Gurtowski, James,

Sutormin, Roman A,

Pasternak, Shiran,

Chivian, Dylan,

Henderson, Matthew L,

Price, Gavin A,

Syed, Mustafa H,

Gerstein, Mark,

Davis, James J,

Faria, José P,

Seaver, Samuel M D,

Weston, David J,

Brenner, Steven E,

Novichkov, Pavel S,

Keegan, Kevin P,

Baumohl, Jason,

Meyer, Folker,

Thomason, James,

Schatz, Michael C,

Kumar, Vivek,

Pearson, Erik,

Best, Aaron A,

Ware, Doreen,

Bowen, Ben,

Jain, Rashmi,

Ranjan, Priya,

Allen, Benjamin H,

Poon, Sarah S,

Yu, Dantong,

Maslov, Sergei,

Gunter, Dan,

Chandonia, John-Marc,

Wang, Daifeng,

Henry, Christopher S,

Arkin, Adam P,

Bun, Christopher C,

Ronald, Pamela C,

Yoo, Shinjae,

Shukla, Maulik,

Brettin, Thomas S,

Drake, Meghan M,

Kamimura, Roy T,

Chan, Stephen Y,

Edirisinghe, Janaka N,

He, Fei,

Devoid, Scott,

Perez, Fernando,

Mills, Marissa,

Dehal, P

2018

Overview

The U.S. Department of Energy Systems Biology Knowledgebase (KBase, http://kbase.us) is an open-source software and data platform designed to tackle the grand challenge of systems biology—predicting and designing biological function at scales ranging from the biomolecular to the ecological. KBase is available for anyone to use, and enables researchers to collaboratively generate, test, compare, and share hypotheses about biological functions; perform large analyses on scalable computing infrastructure; and combine experimental evidence and conclusions to model plant and microbial physiology and community dynamics. The KBase platform has extensible analytical capabilities that currently include (meta)genome assembly, annotation, comparative genomics, transcriptomics, and metabolic modeling; a web-based user interface that supports building, sharing, and publishing reproducible and well-annotated analyses with integrated data; and a software development kit that enables the community to add functionality to the system.

Share this book

Add to My Shelf

Publisher

Springer New York,Nature Publishing Group,Springer Nature,Nature Publishing Group US

Subject

38/39

/ 45/23

/ 49/91